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Join the team leading the next evolution of virtual care.
At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.
Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.
Summary of Position
The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.
This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.
The ideal candidate combines:
* Strong security engineering and cloud architecture experience
* Deep, current familiarity with modern AI/LLM tooling and practices
* Familiar and can cover basic coding within the AI tooling space (python, others)
* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy
Essential Duties and Responsibilities
Secure AI / ML platforms and workloads
* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.
* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.
* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.
* Partner with data science and MLOps teams to harden:
- Data ingestion and labeling
- Training and fine-tuning pipelines
- Model registries and deployment workflows
- Inference APIs, agents, and integrations
* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.
AI use case intake & governance
* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.
* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.
* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.
* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.
* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.
Monitoring, detection & assurance
* Establish and maintain monitoring and detection for AI-specific threats, such as:
- Prompt injection and jailbreak attempts
- Data exfiltration and sensitive data exposure
- Misuse or abuse of AI tools and agents
- Anomalous model or pipeline behavior
* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.
* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.
Strategy, leadership & enablement
* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.
* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.
* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.
* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.
Qualifications Expected for Position
- 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
- 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
- Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
- Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
- Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
- Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
- Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.
Preferred Qualifications:
* Practical experience securing LLM- and genAI-based systems, such as:
- RAG architectures backed by internal data
- AI assistants, copilots, or agents integrated with enterprise tools
- Fine-tuned models and model hosting platforms
* Experience with AI IDE tools
- cursor, windsurfer, others
- Knows the security problems and has practical solutions that balances innovation with innovation.
* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).
* Experience with:
- Security for data pipelines, feature stores, and model registries
- Detection engineering or SIEM tuning for AI-related events
- Red-teaming or adversarial testing of AI systems
* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).
* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.
* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.
* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.
* High level of integrity and ethical conduct.
This role is a fit if you:
* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.
* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.
* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.
* Can move fluidly between deep technical discussions and concise, executive-level explanations.
This role is not a fit if you:
* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.
* Do not actively engage with current AI/LLM tooling, research, and emerging practices.
* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"
* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"
* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"
The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.
We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.
As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.
Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
Why join Teladoc Health?
Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.
Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.
Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.
Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.
Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.
Duration: 11 Months (Contract to hire)
Location: Columbia, SC
Onsite Requirements: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.
Standard work hours: 8:00 AM - 5:00 PM
**Credit check will be required**
Job Summary:
Day to Day:
- A typical day will involve a mix of hands-on coding, architectural design, and research.
- The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
Team: The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.
Job Requirements:
**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**
Required Experience:
Required Software and Tools (Hands on experience required):
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
- API Design
Python & AI/ML Libraries:
- Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience: 6years-of application development, systems testing or other job related experience.
Required Technologies: 3-6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
Nice to have/Preferred skills:
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
AI & Business Systems Manager
Christopher Homes, a nationally acclaimed luxury residential developer and home builder, has been creating Nevada’s finest neighborhoods since 1981. Within four decades, we have developed over 2,000 homes with a total value of over $1 Billion.
Our experience and reputation for developing luxury residential neighborhoods is unmatched. Of note, Christopher Homes has been awarded over 150 national and local awards for design excellence, which include: 19 Home of the Year awards, 7 Community of The Year awards, and recognized as the Homebuilder of the Year by the National Association of Homebuilders (NAHB), and numerous other awards.
Our Purpose
Enhancing lives by creating innovative homes and communities that inspire and reflect the unique interests of our residents. How we do anything is how we do everything. We are creators. The foundation of our success is rooted in our culture and our most valuable resource is our people. We are a diverse group made up of smart, creative, and dedicated people that are passionate about transforming the modern living experience.
Position Overview
The AI & Business Systems Manager is a senior, hands-on role responsible for designing, governing, and operationalizing artificial intelligence across Christopher Homes’ real estate development and luxury homebuilding platform. The manager will report to our CFO. This role requires deep, proven experience in real estate development and residential construction combined with advanced applied AI, data, and enterprise systems expertise.
The manager can work on-site or have a hybrid schedule.
This individual will lead the transformation of fragmented data and disconnected systems into a clean, structured, AI-ready ecosystem that improves efficiency, reduces costs, enhances forecasting, and elevates the customer experience. This is not a research role—this position focuses on practical, secure, ROI-driven AI embedded directly into daily workflows.
This is a full-time, individual contributor role with enterprise-wide responsibility and visibility.
Key Responsibilities
AI STRATEGY & IMPLEMENTATION (PRIMARY FOCUS)
· Design and execute an enterprise AI roadmap aligned with real estate development and homebuilding workflows
· Embed AI directly into core systems including Procore, ERP, Buildtopia, HubSpot, and Microsoft platforms
· Identify and deploy AI use cases for:
– Cost control and variance detection
– Schedule and cycle-time optimization
– Purchasing and vendor analysis
– Warranty trend prediction and root-cause analysis
– Marketing performance and lead intelligence
· Automate repetitive, manual, and error-prone processes using AI and intelligent workflows
· Ensure all AI solutions are secure, compliant, and aligned with data privacy best practices
DATA ARCHITECTURE, CLEANUP & GOVERNANCE
· Assess, clean, normalize, and structure data across all business systems
· Establish data standards, naming conventions, and governance policies
· Eliminate duplication, silos, and inconsistent data definitions
· Ensure data integrity to support reliable AI-driven insights and decision-making
· Prepare data architecture to support future scalability and AI maturity
REAL ESTATE DEVELOPMENT & CONSTRUCTION SYSTEMS LEADERSHIP
Serve as the internal expert on how AI supports:
– Land development
– Vertical construction
-- Purchasing and contracts
– Design center operations
– Warranty and post-close service
· Deeply understand how data flows through real estate development and homebuilding lifecycles
· Optimize system usage to reflect how the business actually operates—not generic software assumptions
· Partner with vendors, consultants, and software providers during system enhancements or ERP transitions
BUSINESS PARTNERSHIP & CHANGE MANAGEMENT
· Translate real estate development and construction challenges into AI-enabled solutions
· Partner closely with executive leadership and department heads
· Educate teams on AI tools, best practices, and responsible usage
· Adoption of AI-enabled workflows across the organization
REPORTING, FORECASTING & DECISION INTELLIGENCE
· Build AI-powered dashboards, reports, and forecasting tools
· Improve visibility into costs, schedules, risks, and performance
· Enable leadership to make faster, more accurate, data-driven decisions
REQUIRED QUALIFICATIONS
· 8+ years of experience in real estate development, residential construction, or homebuilding environments
· Demonstrated, hands-on experience applying AI to real business systems
· Deep understanding of development and construction workflows, terminology, and financial drivers
· Proven ability to organize, clean, and govern complex operational and financial data
· Experience with enterprise systems such as:
– Procore
– ERP systems (Sage 100 Contractor or similar)
– Buildtopia (Purchasing, Design Center, Construction and Warranty)
– CRM & Marketing platforms
– Microsoft ecosystem (including Copilot)
· Strong understanding of data security, privacy, and compliance in business environments
· Ability to operate independently and drive outcomes without direct supervision
STRONGLY PREFERRED
· Luxury single-family or for-rent residential development experience
· Experience leading ERP transitions or system integrations
· Applied knowledge of predictive analytics and automation in construction
· Ability to communicate complex technical concepts to non-technical stakeholders
IDEAL CANDIDATE PROFILE
· Deeply grounded in real estate development and construction
· Business-first mindset with strong technical execution
· Focused on measurable ROI, efficiency, and cost savings
· Disciplined, pragmatic, and trustworthy with sensitive data
· Comfortable building foundational systems before scaling AI initiatives
Edikted is seeking a highly creative and forward-thinking AI Creative Artist to join our growing Creative team. This role will sit at the intersection of fashion, technology, and culture — using cutting-edge AI tools to develop trend-driven, hyper-realistic visuals that resonate with our Gen-Z audience.
This is not a traditional design role. We’re looking for someone who understands internet culture, fashion storytelling, and the speed of fast fashion — and can leverage AI to bring bold ideas to life across social, campaigns, e-commerce, retail, and brand moments.
What You’ll Do
- Create high-impact visual assets using AI tools such as Midjourney, Runway, Sora, Pika, Nano Banana, Claude, Weavy, Flow and other emerging generative platforms.
- Develop AI-generated imagery and video content for campaigns, product drops, social media, paid ads, web, email, and in-store experiences
- Produce fast-turn, trend-responsive content without compromising visual quality
- Write, test, and refine prompts to achieve consistent, brand-right outputs aligned with Edikted’s Gen-Z aesthetic
- Build internal prompt libraries and workflows to streamline creative production
- Maintain visual cohesion across seasonal concepts and campaigns
- Partner closely with Art Directors, Graphic Designers, Fashion Designers, and Marketing teams
- Translate seasonal direction, mood boards, and digital campaigns into innovative AI-driven visuals
- Contribute to brainstorming sessions for creative drops, viral moments, and cultural activations
- Stay ahead of emerging AI tools, digital art trends, fashion culture, and Gen-Z online behavior
- Continuously experiment and propose new ways AI can elevate storytelling and content velocity
- Help shape Edikted’s AI creative roadmap
What You'll Bring
- 2–4+ years of experience in digital art, creative production, fashion content, or AI-driven visual storytelling
- A strong portfolio showcasing AI-generated image and/or video work — preferably within fashion, beauty, lifestyle, or culture-driven brands
- Advanced proficiency in AI creative tools such as Midjourney, Runway, Sora, Pika, and other emerging generative platforms
- Deep understanding of prompt engineering, visual iteration, and building scalable AI workflows
- A sharp eye for composition, lighting, texture, realism, and trend relevance
- Strong understanding of Gen-Z fashion culture, internet aesthetics, and social-first storytelling
- Ability to move at the speed of fast fashion — balancing high output with high quality
- Experience translating brand guidelines into visually cohesive content across multiple channels
- Strong collaboration skills and comfort working cross-functionally with Creative, Fashion, and Marketing teams
Benefits Include:
- Health, Dental, and Vision insurance, plus 401(k)
- Paid Time Off (PTO)
- Hybrid schedule: Monday–Thursday on-site at our Arts District HQ, Fridays remote
- Employee discount
- Salary range: 110,000-130,000
Location: El Segundo, Hybrid (in office Monday, Tuesday, Thursday)
Pay: Competitive 100k - 200k Depending of Experience
About Us:
At Ocra Brands, we're all about blending cutting-edge technology with business innovation. We're looking for passionate, sharp minds ready to dive deep and accelerate our digital transformation with AI, tech, tracking solutions, and software development
About the Role:
You will be our AI implementation champion—integrating AI tools and helping teams adopt them. You'll also ensure our tracking is top-notch across platforms like Google and Facebook Ads, and you’ll dive into Shopify and tools like Northbeam.
Key Responsibilities:
- Implement AI solutions across departments, helping colleagues use AI (e.g., claude code, automation) to enhance their work—whether they’re in CRO, SEO, or creative strategy.
- Work on high-level software development tasks and ensure our tech stack is robust and future-proof.
- Oversee tracking and analytics, ensuring seamless integration with tools like Google Ads, Facebook Ads, and Northbeam.
- Work closely with Shopify and ensure e-commerce tracking is accurate and optimized.
- Collaborate with cross-functional teams, supporting them in leveraging AI to improve their day-to-day tasks—from writing scripts to boosting creative efforts.
What We’re Looking For:
- Computer Science degree or equivalent from the top universities like or a clear demonstration of extra ordinary abilities in real work AI application and software development. We are looking for someone that not only have the ability to execute but also to understand drive the bigger picture strategy to AI/ Software integration across the whole company
- A great understanding of Software development and AI and how it related to business
- A proactive, problem-solving mindset. You ask “why” and never shy away from a challenge.
- Extreme sense of urgency—you move fast, innovate faster.
- Team player with a positive attitude, eager to grow and contribute to our culture.
Know more about us:
:
:// /
Remote working/work at home options are available for this role.
About This Role
This isn't a traditional engineering role where you'll receive detailed specifications and build to order. We're looking for someone who digs into problems firsthand—someone who asks "why" until they truly understand what's broken, then builds the solution themselves.
If you've ever been frustrated by the gap between people who understand the customer and people who can build technology, this role exists because we share that frustration. We want someone who can do both.
What You'll Do
You'll use AI tools—particularly Claude Code and the Claude platform—to build solutions that solve real problems in mortgage lending. Not proofs of concept. Real tools that people use every day.
Examples of problems you might tackle:
- Loan conditions arrive from Fannie Mae, Freddie Mac, VA, and FHA in different formats. Loan officers spend hours reconciling them. Build something that consolidates and deduplicates them automatically.
- Underwriters spend significant time on tasks that could be automated, but "that's how it's always been done." Identify which tasks, understand why, and build the automation.
- Compliance requirements evolve constantly. Build systems that can adapt without requiring lengthy development cycles.
You won't always be handed a clear spec. You'll often be handed a problem—sometimes a vague one—and expected to dig in until you understand it well enough to solve it.
What We're Looking For
Required:
- You can build working software. You don't need a team of engineers to ship something useful. Claude Code, Python, JavaScript, APIs—you're comfortable getting hands-on.
- You go deep on problems. When someone says "we need a dashboard," you ask what decision they're trying to make. When they say "it takes too long," you ask how long, why, and what happens as a result.
- You're persistent. You don't hear "that's not possible" and stop there. You get curious and look for another way.
- You communicate well across audiences. Executives, loan officers, underwriters, compliance teams—you can work with all of them effectively.
Preferred:
- Bachelor's degree in Business, Computer Science, or related field
- Experience in mortgage lending, financial services, or another regulated industry
- Hands-on experience with AI coding tools (Claude Code, Copilot, Cursor, or similar)
- Background that spans both business and technical work—perhaps you started in analysis and taught yourself to code, or you're an engineer who consistently finds yourself thinking about the customer problem
What matters most:
We care less about your pedigree and more about your ability to solve problems and work well with others while doing it.
Why This Role Exists
We're a 200-person mortgage lending organization, and we believe AI is going to fundamentally change how our industry operates—not by replacing people, but by making our people dramatically more effective.
We're moving away from the traditional model where business teams write requirements, hand them to engineers, and hope the result matches the intent. We want to build a team of people who can understand the problem deeply and build the solution directly. Fewer handoffs. Faster iteration. Better outcomes.
If that resonates with you, we'd like to talk.
How To Apply
Please send:
- Your resume
- Something you've built — a link, screenshot, GitHub repo, or brief walkthrough. It doesn't need to be polished. We want to see how you approach problems.
- A short note (a few sentences) about a problem you investigated deeply and what you learned from it
AI Business Analyst
Department: IT
Reporting To: SVP, Technology & Digital Innovation
Location (On-Site): New York, NY - Fashion District
About G-III Apparel Group, Ltd. | Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships.
Position Summary
The AI Business Analyst will play a critical role in advancing G-III’s enterprise AI strategy by evaluating emerging AI technologies, identifying high-value business use cases, managing vendor assessments, and driving adoption across brands and functions. This position bridges technology and business operations—helping teams understand, pilot, scale, and operationalize AI capabilities that improve productivity, creativity, and decision-making.
In addition to third-party AI tools, this role will support the change management and adoption of internally developed AI solutions and models, ensuring new capabilities are introduced in a structured, well-communicated, and measurable manner.
This role will also be responsible for developing training materials, documenting best practices, creating video tutorials, and maintaining the AI Center of Excellence (AI CoE) SharePoint site as the central hub for AI knowledge, tools, governance standards, and success stories.
Key Responsibilities
AI Discovery & Assessment
- Evaluate AI tools, platforms, and vendors for business fit, ROI potential, data security, and scalability.
- Partner with functional leaders to identify, prioritize, and document AI use cases across merchandising, marketing, ecommerce, customer care, design, and operations.
- Develop value models and pilot plans to quantify business impact and organizational readiness for scale.
Pilot Execution & Measurement
- Design and oversee proof-of-value (POV) pilots with defined success criteria, control groups, and KPIs.
- Track adoption, productivity gains, time savings, and qualitative feedback to determine scalability and readiness.
- Present business cases, pilot outcomes, and recommendations to leadership and the AI CoE Steering Committee.
Change Management & Adoption
- Lead structured change management efforts for third-party AI tools and internally developed AI models and capabilities.
- Develop rollout plans including stakeholder mapping, communication strategies, training programs, and post-launch reinforcement.
- Partner cross-functionally with Business, IT, Legal, and HR teams to manage organizational readiness, role impacts, and process changes introduced by AI.
- Capture end-user feedback and operational learnings to inform iterative enhancements and future AI releases.
Training & Enablement
- Create training materials including written documentation, SOPs, and short-form instructional videos using tools such as Synthesia, Guidde, or similar platforms.
- Deliver live and recorded training sessions to cross-functional teams and AI Champion groups.
- Maintain and continuously enhance the AI CoE SharePoint site by organizing learning content, use cases, FAQs, governance documentation, and vendor updates.
Governance & Best Practices
- Ensure responsible AI adoption aligned with legal, privacy, data security, and brand standards.
- Document AI usage guidelines, data handling policies, governance frameworks, and onboarding checklists.
- Serve as an internal ambassador for AI literacy, ethical adoption, and best practices across the organization.
Reporting & Continuous Improvement
- Establish and track performance metrics including adoption rates, productivity gains, cost savings, and quality improvements.
- Publish dashboards and executive-ready performance summaries for leadership review.
- Stay current on enterprise AI developments, emerging tools, and internal platform enhancements to inform roadmap recommendations.
Qualifications
Required
- 4–7 years of professional experience in business analysis, enablement, product operations, or digital transformation, preferably within retail, apparel, or ecommerce.
- Hands-on experience using AI tools including ChatGPT Enterprise, Microsoft 365 Copilot, Synthesia, Guidde, or similar platforms.
- Strong analytical skills including ROI modeling, time-savings estimation, and pilot performance measurement.
- Experience creating training content (written and video) and managing enterprise enablement platforms such as SharePoint.
- Excellent written and verbal communication skills with the ability to translate technical capabilities into clear business value.
Preferred
- Familiarity with Shopify ecommerce platforms and PIM/DAM systems such as Salsify or Aprimo.
- Experience with enterprise collaboration tools including Microsoft Teams, Power BI, and Microsoft 365.
- Basic understanding of prompt engineering, generative AI limitations, and responsible AI frameworks.
- Experience working within multi-brand or multi-region organizations.
- Certifications in Microsoft 365 Copilot Service Adoption, Prosci Change Management, or AI Product Enablement preferred.
Core Competencies
- Business Impact Orientation: Drives measurable outcomes and quantifies value creation.
- Change Leadership: Leads structured adoption efforts across brands and departments.
- Structured Thinking: Translates complex technology into actionable business processes.
- Collaboration: Builds strong relationships with internal stakeholders and external partners.
- Communication Excellence: Produces clear, engaging materials for technical and non-technical audiences.
- Adaptability: Remains current with emerging AI technologies and evolving enterprise priorities.
What We Offer
- Competitive base salary and performance-based incentives
- Comprehensive medical, dental, and vision benefits
- 401(k) with company match
- Paid time off, holidays, and company-sponsored wellness benefits
- Employee discounts across G-III brands
- A collaborative, entrepreneurial work environment with career growth opportunities
Compensation
Salary Range: $105,000 – $125,000 base (commensurate with experience)
Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.
G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.
AI Data & Python Tools Engineer
We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.
Responsibilities:
- Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
- Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
- Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
- Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
- Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle
Software Engineering & AI/ML Data, Tools Development
- 3+ years of Python Development with a background in back end services and data processing
- Exposure to AI/ML algorithms
- Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Understanding of LLMs, vector databases, and retrieval systems
- Experience with Model Context Protocol (MCP) integration and server development
Big Data & Cloud Infrastructure
- Knowledge of building and deploying cloud based applications
- Hands-on experience with cloud data platforms (AWS/GCP/Azure)
- Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
- Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
- Knowledge of containerization (Docker/Kubernetes) and infrastructure as code
*Preferred Experience
- Experience building web applications with modern frameworks (React, Vue, or Angular)
- API development and integration experience
- Basic UX/UI design sensibilities for internal tooling
- Experience with real-time data processing and analytics
- Background in building developer tools or internal platforms
- Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
- Experience building MCP servers and integrating with AI assistants
- Knowledge of structured data exchange protocols and API design for AI systems.
Type: Full Time
Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)
*Relocation assistance can be offered based on individual needs and circumstances*
We are seeking a curious and motivated AI & Systems Operations Associate to join our team in Chicago. This is an entry-level opportunity ideal for a recent graduate or early-career professional who is excited about artificial intelligence and interested in how emerging technologies can improve the way businesses operate.You do not need to be an AI programmer or have a technical degree. What matters most is that you are analytical, tech-comfortable, and naturally curious about AI tools and new technologies. If you regularly explore tools like ChatGPT, enjoy learning new platforms, and like figuring out smarter ways to solve problems, this role could be a great fit.
You will work closely with internal teams to help support AI tools, operational systems, and technology-driven workflows.
Key Responsibilities
- Assist in supporting and maintaining internal operational systems and technology platforms
- Use AI tools to help improve workflows, research solutions, and increase efficiency
- Review and monitor AI-generated outputs to ensure accuracy and usefulness
- Help identify opportunities to streamline internal processes through technology
- Support the adoption and use of new tools and systems across teams
- Assist with documentation, testing, and improvement of technology-driven workflows
- Stay informed on emerging AI tools and technologies that may benefit the business
Qualifications
- Bachelor’s degree required (any field – Liberal Arts, Business, Technology, etc.)
- Strong curiosity about artificial intelligence and emerging technologies
- Comfortable using modern technology platforms and software tools
- Familiarity with AI tools such as ChatGPT or similar platforms
- Strong critical thinking and problem-solving abilities
- Organized, detail-oriented, and eager to learn
- Ability to work hybrid in Chicago (3 days per week in-office)
Nice to Have (Not Required)
- Exposure to workflow or contract management platforms such as Ironclad
- Internship or academic experience involving technology, research, or operations
- Interest in legal technology, legal operations, or business systems
- Basic understanding of automation, AI tools, or digital workflows
Job Summary:
AI is becoming foundational to how iHerb operates globally — from personalization and customer experience to supply chain optimization and fulfillment automation.
We are creating the Head of AI Enablement to ensure AI becomes a sustained, measurable capability across the enterprise — not isolated pilots or one-off tools, but deeply integrated systems that improve how we serve customers in 180+ countries.
*This is not a research role. It is a delivery role.
Job Expectations:
Strategy & Vision
- Define and own iHerb's AI enablement roadmap, aligned with company OKRs and long-term growth strategy.
- Partner with the CTO and senior leadership to embed AI into iHerb's operating model, from supply chain and logistics to personalization and customer service.
- Evaluate and recommend AI tools, platforms, and vendor partnerships across the organization.
- Stay ahead of the AI landscape — identifying emerging technologies, risks, and opportunities relevant to global e-commerce and health & wellness.
Enablement & Adoption
- Build and lead an AI Enablement function that equips teams across iHerb to effectively use AI in their daily workflows.
- Design and roll out AI literacy programs, training curricula, and internal communities of practice for both technical and non-technical staff.
- Establish a Center of Excellence (CoE) for AI, creating standards, best practices, governance frameworks, and playbooks for responsible AI deployment.
- Champion the adoption of AI tools — including generative AI, predictive analytics, and automation — across Marketing, Merchandising, Customer Service, Finance, and Operations.
Execution & Delivery
- Identify and prioritize high-value AI use cases with measurable ROI across business units.
- Partner with engineering and data science teams to move AI initiatives from proof-of-concept to production at scale.
- Define and track KPIs to measure AI adoption, productivity gains, and business impact across the organization.
- Manage a portfolio of AI enablement projects, balancing speed with quality and governance.
Governance & Responsible AI
- Develop and enforce policies around responsible AI use, including data privacy, bias mitigation, and regulatory compliance aligned with GDPR and global standards.
- Ensure AI systems across iHerb are explainable, auditable, and aligned with iHerb's values.
The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.
Knowledge, Skills and Abilities:
Required:
- Proven track record of driving AI or digital transformation at scale.
- Strong understanding of LLMs, generative AI, recommendation systems, NLP, and predictive analytics.
- Experience influencing cross-functional stakeholders and executive leadership.
- Ability to translate complex AI concepts into clear business impact.
- High degree of accuracy and attention to detail
- Excellent organization skills and ability to multi-task
Equipment Knowledge:
- Experience with Microsoft Office Suite (Word, Excel, PowerPoint)
- Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred
Experience Requirements:
Generally requires a minimum of 10+ years experience in technology, data, or product leadership roles and 3-5+ years leading AI/ML strategy, deployment, or enterprise enablement initiatives.
Education Requirements:
Bachelor’s Degree in Business or related field preferred, or a combination of education and equivalent work experience.
Judgment/Reasoning Ability: Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy. Ability to use judgment and reasoning skills, and determine when to escalate issues, as required, in a timely manner.
Physical Demands: The physical demands described here are representative of those that must be met by a Team Member to successfully perform the essential functions of this job. While performing the duties of this job, the Team Member is regularly required to talk and hear. The Team Member is frequently required to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach with hands and arms. Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials throughout the work day. The Team Member may occasionally lift or move office products and supplies up to 25 pounds. Proper lifting techniques required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Work Environment: The noise in the work environment is usually moderate. Other factors are:
- Hectic, fast-paced with multi-level distractions
- Professional, yet casual work environment
- Office / Warehouse environment
- Ability to work extended hours as required
Position Title: Applied AI Systems Engineer
Location: Orange County, California (Hybrid)
Reports To: Head of Operations
Position Summary
This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.
The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.
This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.
Core Objectives
- Build an internal AI platform that automates high-volume operational workflows
- Reduce manual processing time and administrative overhead
- Improve accuracy, speed, and decision visibility across departments
- Establish scalable systems that support portfolio growth without proportional staffing increases
Primary Responsibilities
- AI Platform Architecture & Development
- Design and deploy AI agents to automate operational and administrative workflows
- Build LLM-powered systems for document review, data extraction, and decision support
- Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
- Implement evaluation, monitoring, and continuous improvement frameworks
Lease & Document Intelligence Automation
- Build tools to extract key lease terms, obligations, and risk clauses
- Automates lease abstraction and document comparison workflows
- Develop compliance and deadline tracking systems
- Enable searchable knowledge retrieval across lease and legal documents
Leasing & Asset Management Automation
- Automate LOI comparison and deal workflow summaries
- Build dashboards summarizing tenant performance, lease milestones, and risk exposure
- Support market intelligence and tenant prospecting research
- Develop underwriting support and reporting tools
Property Management & Financial Workflow Automation
- Automate CAM reconciliation data processing and variance detection
- Streamline tenant reporting and communication workflows
- Track vendor contracts, compliance deadlines, and service obligations
- Extract and structure financial data from operational documents
Data Infrastructure & Knowledge Systems
- Structure internal documents and data for AI retrieval and automation
- Build document ingestion, indexing, and retrieval pipelines
- Implement vector search and knowledge retrieval systems
- Maintain data integrity, access control, and auditability
Systems Integration & Deployment
- Integrate AI tools with property management, accounting, CRM, and document platforms
- Deploy systems within secure cloud environments
- Implement logging, monitoring, performance, and cost controls
- Ensure reliability and scalability of deployed systems
Collaboration & Implementation
- Translate operational workflows into technical automation solutions
- Work directly with leadership to prioritize automation opportunities
- Train teams and implement adoption workflows
- Establish standards for responsible and secure AI usage
Required Qualifications
- Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
- Demonstrated success in a rigorous academic or research environment
- 3–7+ years building production software, automation systems, or applied AI solutions
- Strong Python development and API integration experience
- Experience working with structured and unstructured data
- Experience deploying systems in cloud environments
- Strong understanding of system architecture and data pipelines
- Exceptional analytical and problem-solving ability
Preferred Qualifications
- Experience building document intelligence or contract analysis systems
- Experience with retrieval systems and vector databases
- Experience automating financial or operational workflows
- Experience integrating AI into business operations environments
- Experience in real estate, finance, logistics, or operations-heavy industries
- Evidence of research, technical publications, competitive programming, or open-source contributions
Technical Environment (Representative)
- Python and API-based architectures
- LLM platforms and agent orchestration frameworks
- Cloud infrastructure (AWS, Azure, or GCP)
- SQL and vector databases
- Workflow orchestration and automation tools
- Version control, logging, and monitoring systems
Success Metrics
- Performance in this role will be evaluated by:
- Reduction in manual administrative workload
- Automation coverage across operational workflows
- Accuracy and reliability of AI-driven outputs
- Adoption and usage across departments
- Operational efficiency gains and cost reductions
Work Environment
- Hybrid work model with in-person collaboration in Orange County
- Direct collaboration with executive leadership and operational teams
- High autonomy in system architecture and implementation decisions
Join Our Mission to Bridge the Digital Divide - Through AI!
Position: Programs Manager (AI Curriculum - Higher Ed) - Austin, Texas (Hybrid or Remote)
Salary Range: USD 55,000 - 75,000 annually (with a 3-month probation)
Location: Preference for Austin, Texas; remote possible
Travel: Occasional travel required with reasonable notice and accommodations
About Us
Sustainable Living Lab USA (SLL LLC USA) is part of a global movement, HQ in Singapore, offices in India, Indonesia, Japan, and the USA, to make technology inclusive, accessible, and sustainable. We design and deliver innovative education programs that equip learners with essential digital and AI skills - from US community colleges to grassroots organizations worldwide.
About the Role
We’re seeking a dynamic, articulate, and adaptable Programs Manager (AI Curriculum for HigherEd)to support the global expansion and US localization of our AI education programs.
This role involves delivery, curriculum creation, and program development, ideal for someone confident in discussing AI with non-technical audiences, passionate about learning, and eager to influence AI upskilling’s future. You’ll lead technical Train-the-Trainer (TTT) sessions with professors from community colleges and universities both virtually and in-person helping them develop/integrate technical AI concepts as part of their certifications/degrees.
This role blends delivery, curriculum design, and program development, ideal for a flexible, self-motivated individual with a growth mindset who thrives in ambiguous environments, constantly finding solutions to new problems.
Key Responsibilities
1. AI Programs Training & Facilitation (TTT Model)
- Lead virtual and in-person technical Train-the-Trainer (TTT) workshops across US, supporting partners in vocational education and workforce institutions worldwide.
- Ensure participants understand the content and are equipped to customize it for local contexts and learner needs.
- Develop and implement standardized training regimens and SOPs tailored for cross-cultural, regional, and state-wide implementation partners.
- Translate core AI, ML, DL, and Python concepts into engaging, beginner-friendly lessons sensitive to language diversity and digital fluency levels - but also able to deliver technical concepts like Maths for AI, Data science, and Agentic AI topics in depth.
- Conduct engaging and informative training sessions utilizing a standardized curriculum.
2. US Programme & Business Development (SMEs, Colleges, Universities, K12, communities)
- Manage the continuity and expansion of SLL's US programs, particularly within its extensive network of 140+ community colleges and universities spanning 40+ states.
- Work with the team to position SL2 as a leading partner in AI and emerging tech education for the US community college and vocational sector.
- Scale educational programs with school districts, community colleges, and universities, focusing on out-of-school programs and boot camps.
- Scale AI Community Engagements with clubs, societies, and foundations.
- Identify and articulate compelling use-case stories for workforce development partnerships.
- Support engagements with colleges, government agencies, and employers to co-develop bespoke AI education pathways.
3. Content Development and Productization
- Collaborate with internal teams to evolve and update existing programs and co-create new offerings.
- Lead the creation of slide decks, training decks, and other content as a core part of the role.
- Contribute to productizing key experiential learning offerings such as hands-on coding challenges and platform-based simulated work experiences.
- Help localize material for US-based institutions, aligning with skills frameworks and employer demand.
- Co-deliver experiential coding/skilling events, ensuring the core product is designed for global scalability and is adaptable to various educational levels, including tailoring project focus for different competitions for community college and university students.
What We're Looking For
- HigherEd/SME Training Experience: Minimum of 3 years in Higher Ed, training, or facilitation working with HigherEd/SMEs, including at least 2 years focused on technical or digital skills. Experience working across cultures and time zones is highly valued.
- Tech & Learning Aptitude: Intermediate to high knowledge of Python and AI/ML/DL/Agentic AI/Maths for AI/Data concepts. Strong personal interest in the evolving AI landscape and comfort with explaining complex topics to beginners. Experience or enthusiasm for Vibe Coding, digital hackathons, or collaborative prototyping is a plus.
- Communication & Facilitation: Fluent, clear-spoken English and strong public speaking skills. Able to adjust tone, pace, and clarity based on audience (e.g., teachers vs. college professors vs. workforce leaders). A strong presence on MS Teams/Zoom or in person - whether running a classroom session, hackathon, or partner presentation.
- Mindset & Tools: Adaptable, self-motivated, and collaborative. Skilled in using tools like Zoom, Google Workspace, and Teams, and eager to learn new platforms and facilitation techniques.
- Location & Eligibility: Preference for candidates based in Austin, TX, but open to strong remote applicants. Must be authorized to work in the US.
Why Join Us?
- Make Global Impact: Empower teachers and workforce educators across continents to teach AI confidently and contextually.
- Shape the Future of the US Workforce Skilling: Co-create impactful AI programmes for colleges and workforce partners across the US.
- Creative & Collaborative Culture: Work with a mission-driven team that values experimentation, equity, and lifelong learning.
- Featured Benefits: Medical insurance (100% employer contribution), 14 days annual leave, 14 days medical leave, and paternity and maternity leave. We request that the candidate to have their own device.
Ready to Apply?
Send your resume and a short, authentic cover letter to with the subject line: “Programs Manager (AI Curriculum) - U.S.” Please write authentically, and use AI tools with discernment.
Please include:
- Your expected monthly salary in USD
- Your current location and time zone
- Your availability to start
- Any accommodation requests (if applicable)
SLL LLC USA is an Equal Opportunity Employer. We celebrate diversity and are committed to building an inclusive workplace. If you need accommodations during the application process, please let us know.
The Dell Security & Resiliency organization manages the security risk across all aspects of Dell’s business. You will have an excellent opportunity to influence the security culture at Dell and further develop your career.
Join us as an AI Security Engineer (IAM), Senior Advisor on our Cybersecurity Engineering & Operations team in Round Rock, Texas to do the best work of your career and make a profound social impact.
What you’ll achieve
As an AI Security Engineer , you will be a member of our internal-facing, Cybersecurity organization with responsibility for contributing your advanced experience and technical skills into Dell security infrastructure environment. Your focus will be on engineering and operating the identity and access management AI tools which will include engaging and collaborating with internal stakeholders, customers, partners, and vendors.
You will:
Manage processes and technologies to implement identity lifecycle operations for AI agents and service principals, including creation, rotation, revocation, and decommissioning with strong auditability.
Administer RBAC and ABAC policies for agentic workflows and enforce guardrails across model endpoints, data stores, and tool integrations.
Manage secrets and credentials used by AI agents, including rotation schedules, vault policies, and detection of credential misuse.
Collaborate with product teams to capture use cases and translate them into concrete IAM controls for agents, models, and data access paths.
Assist in investigations and incident response involving agentic AI, correlating logs across prompts, actions, tool calls, and data access events.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
Own agent & service identity with modern auth (OAuth 2.0 + OIDC). Manage the full lifecycle for AI agents (Joiner/Mover/Leaver), implement machine to machine flows and wire up enterprise IdPs and API gateways (for example: Okta; Kong Gateways) you need to know about OAuth + OIDC flows and be able to understand AD/Entra group backed access (emit group claims in JWT/SAML with appropriate filtering) - fundamental IAM Knowledge is essential for this job role (authentication, authorization, PAM)
Preferred : light scripting (Python/Typescript) to automate integrations and reviews
Prove compliance: Align agent access with data residency/consent/retention and continuously produce evidence against Dell Agentic AI Standards ; work with AI/IAM Architects to maintain current IAM configs/runbooks/flows as capabilities evolve.
Hands‑on with agent frameworks (LangGraph/LangChain, CrewAI, AutoGen) and/or agent platforms (Lindy, ) to understand where policy decision points / policy enforcement points are applied in the right layer and to understand developers/platform teams.
Experience working with AI governance and MLOps platforms (e.g., DataRobot, Dataiku) supporting approvals, audit trails, and compliance sign‑offs. Strong cross‑functional collaboration skills and the ability to translate requirements into secure IAM and agent architectures in partnership with application, platform, security, and data teams.
Desirable Requirements
Bachelor’s degree in Computer Science, Management of Information Systems, Cybersecurity, Information Assurance, or a related field; or equivalent experience
12+ years of information security experience; 4+ years in Identity and Access Management or similar roles
Industry-standard cybersecurity certification from ISC (2), SANS, or similar entity
Compensation
Dell is committed to fair and equitable compensation practices. The compensation range for this position is $152,000 to $196,000.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .
Job ID: R283934
Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.
Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale.
Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.
About the role:
We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.
The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.
What you’ll do:
LLM Agents & Prompt Engineering
- Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
- Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
- Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
- Design and maintain high-quality prompt strategies for robustness and reliability.
FastAPI, Model Context Protocol (MCP) & Backend
- Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
- Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
- Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.
Evaluation, Testing & Observability
- Build unit and behavioral tests for agents, tools, and workflows.
- Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
- Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.
Model Fine-Tuning & MLOps
- Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
- Integrate, deploy, and monitor models in production using cloud providers.
- Set up agent logging, observability dashboards, and recovery workflows.
Front-End & UX
- Familiar with React, TypeScript, Next.js, or similar frameworks
- Understanding of front-end and back-end integration for AI tools
- Ability to build basic dashboards or agent interfaces
- Integrate agents into interfaces
- Speak the language of UI
What we’re looking for:
- 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
- 1+ years experience with LLM agent development, prompt engineering, and frameworks like
- LangGraph, PydanticAI, and Google ADK.
- Experience with fine-tuning LLMs.
- Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
- Production experience with FastAPI, Docker, and MLOps
- Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
- Bachelor’s or Master's degree in computer science
Nice to have:
- Open-source contributions to LLM/agent tooling
- Knowledge of async programming, websockets, and streaming APIs
What we offer:
- Competitive compensation and equity
- Comprehensive benefits including medical, dental, vision, etc.
- Unlimited and flexible PTO
You will be on the ground floor of this exciting opportunity with lots of advancement and growth potential! What You’ll Do As a valued member of the Enterprise AI Support team, you will: Provide world-class support through customer tickets, ensuring timely and accurate resolutions.
Troubleshoot issues remotely using internal dashboards and generative AI tools.
Identify opportunities to enhance systems, efficiency, and customer experience.
Collaborate cross-functionally and share best practices to strengthen the knowledge base.
Continuously learn and adapt to emerging technologies.
Day shift is 7A-4P, Swing shift hours are 1P-10P, night shift is 10P-7A.
All schedules are either Tues-Sat or Sun-Thurs.
Please note this a 24x7x365 help desk so agents will be required to work holidays on a rotating basis.
Basic Qualifications Minimum 1 year of experience in a help desk, technical support, or customer support role High School Diploma or equivalent Flexibility to work a rotating schedule (evenings, weekends, and holidays as needed) Strong written communication, analytical thinking, and multitasking skills US citizenship with eligibility to obtain a secret security clearance IAT level I certification (A+ or Network+) or able to obtain within 3 months Level II agents should have an Associates degree + 4 years of related experience.
Additional experience may be substituted in lieu of degree.
Preferred Qualifications Technical or customer support experience in a digital or SaaS environment Proficiency with Salesforce, Datadog, Notion, Stripe, or Retool Familiarity with SQL, Splunk, Domains, Chrome Developer Tools, and JSON Post-secondary education in Technology, Computer Science, or a related field an asset Tech-savvy, with the ability to learn and apply new tools quickly Excellent problem-solving and decision-making abilities Professional Skills Analytical and solution-oriented mindset Excellent communication and interpersonal skills Adaptability and flexibility in a fast-paced environment High attention to detail and precision in troubleshooting Team player who thrives in a collaborative, high-performing environment What You’ll Do As a valued member of the Enterprise AI Support team, you will: Provide world-class support through customer tickets, ensuring timely and accurate resolutions.
Troubleshoot issues remotely using internal dashboards and generative AI tools.
Identify opportunities to enhance systems, efficiency, and customer experience.
Collaborate cross-functionally and share best practices to strengthen the knowledge base.
Continuously learn and adapt to emerging technologies.
Job Summary
HellermannTyton North America (HT NA) is accelerating the use of Artificial Intelligence to unlock capacity, improve quality, and fuel growth across North America. As the AI Program Manager, you will build and run a program of AI initiatives that create efficiencies by automating repetitive tasks and removing process waste. You will partner with Operations, Sales, Marketing, IT, HR, and Finance to select the right problems, deliver measurable outcomes quickly, and scale wins across plant sites to increase revenue, reduce cost, and eliminate waste. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.
What You'll Do
Opportunity Discovery
- Conduct stakeholder interviews to capture business objectives and constraints; translate high-level goals into clear, actionable AI project requirements.
- Build simple business cases with the respective departments; baseline current performance, and quantify benefits
Program Management
- Work with Business Stakeholders to prioritize initiatives by value, impact, labor hour avoidance, and risk mitigation.
- Prioritize AI program and project roadmap into short, iterative deliverables; prioritize delivery based on business impact and feasibility.
- Run stage-gated delivery (scope pilot scale) aligned to HellermannTyton COE project governance; set decision forums, risk controls, and incremental results.
- Work with Business and IT to develop data and IT infrastructure and tools to support AI program roadmap.
Delivery
- Ensure ownership of agents and AI workflows are transitioned to business stakeholders within the business.
- Engage with change management to ensure AI projects are accepted, and AI becomes integrated into processes such that AI becomes "the way we work."
- Make value visible and auditable. Track and report on program benefit metrics such as savings, improved experience, reduced waste, efficiency improvements, etc.
- Share AI knowledge to upskill the organization. Coach stakeholders to see AI use cases in the processes.
Governance
- Partner with Legal/HR on data privacy and AI use policies.
- Ensure solutions comply with IT corporate cybersecurity and risk guidelines.
Success in this role will require:
- Collaboration & Communication
- Adaptability
- Problem Solving
- Analytical Thinking
- Business Acumen
What You'll Bring
- Bachelor's degree in Project/Program Management, Engineering, Manufacturing, Computer Science, Data/Analytics, or related field.
- 3+ years leading data/AI/automation programs with manufacturing operations; proven track record delivering hard dollar benefits and labor hour avoidance.
- Mastery of program management (business cases, roadmaps, stage gates, financials).
- Excellent stakeholder communication and leadership across Operations, Sales, Marketing, IT, HR, and Finance.
Preferred Qualifications
- Background manufacturing or associated environments.
- Lean / Six Sigma certification; experience embedding AI within continuous improvement programs.
- Experience with AI Tools (MS CoPilot Studio, MS Fabric, MS Azure Foundry)
By applying for a position with HellermannTyton, you understand that should you be made an offer, it will be contingent on your undergoing and successfully completing a background check through the use of our 3rd party supplier. Background checks may include some or all of the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, criminal check, driving history, and drug test. You will be notified during the hiring process of which checks are required by the position.
HellermannTyton Corporation is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.
Summary:
The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.
Location: Remote (U.S.) / Hybrid options may be available based on client needs.
Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus
Benefits: Very competitive benefits
Responsibilities
- Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
- Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
- Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
- Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
- Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
- Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
- Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
- Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
- Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
- Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
- Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
- Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
- Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
- Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
- Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.
QUALIFICATIONS:
Required:
- 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
- 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
- 5+ years working in agile delivery environments.
- Google Cloud Professional Cloud Architect certification.
- Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
- Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
- Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
- Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
- Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
- Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
- Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
- Experience supporting very high request volumes and/or extremely large datasets in production environments.
- Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
- Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
- Familiarity with microservices architecture patterns and distributed systems best practices.
- Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
- Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
- Strong written and verbal communication skills across technical and business audiences.
- Calm, decisive execution in high-pressure or incident scenarios.
- Highly organized, self-directed, detail-oriented, and effective with limited supervision.
- Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.
Preferred:
- Bachelor’s or Master’s in Computer Science, AI, or a related field.
- PhD in AI, Distributed Systems, or Cognitive Science.
- Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
- 3+ years working with distributed caching technologies.
- Experience provisioning and configuring cloud platform resources at scale.
- Experience supporting consumer-facing digital or commerce environments.
- Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).
About Hansell Tierney:
Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.
Generative AI Engineer/Agentic Engineer
You bring AI to life - one agent at a time. At BWE, we rely on you to build smart, adaptive systems that act on behalf of our teams, streamlining workflows and amplifying impact. As an Agentic Engineer, you turn complex business tasks into intelligent, automated solutions that drive efficiency across the enterprise. Your work helps us scale AI with confidence, creativity, and control.
Responsibilities:
- Design, build, and optimize autonomous or semi-autonomous AI workflows (agentic systems) using Microsoft Copilot, Power Automate, Copilot Studio, and third-party AI platforms.
- Translate complex business tasks into orchestrated, multi-step AI workflows that can act with minimal user input while maintaining accuracy and compliance standards.
- Develop and iterate intelligent assistants, copilots, and AI agents to automate business processes across origination, closing, servicing, and corporate functions.
- Collaborate with Business Partners and business units to test, refine, and scale agentic tools that drive measurable efficiency improvements and user adoption.
- Lead implementation of BWE's Scale Agentic AI initiative by identifying high-impact automation opportunities and deploying production-ready AI agents.
- Partner with AIOps Engineer to ensure agentic systems integrate properly with monitoring, governance, and optimization frameworks.
- Stay ahead of emerging agentic design patterns, orchestration technologies, and best practices while bringing forward innovative solutions to business challenges.
- Create reusable agentic templates and workflow patterns that enable citizen developers to build AI-powered automation within governance frameworks.
- Implement security and compliance controls for agentic systems ensuring adherence to financial services regulations and data privacy requirements.
- Research and experiment with innovative agentic AI technologies and platforms to enhance BWE's automation capabilities.
- Provide training and support to business users adopting agentic tools and automation workflows.
- Document agentic system architectures, decision logic, and operational procedures for knowledge transfer and maintenance.
Near-Term Deliverables:
- Build and deploy at least 3-5 production agentic systems that demonstrate significant business impact and operational efficiency gains.
- Establish agentic AI development framework including design patterns, testing methodologies, and deployment standards.
- Create a comprehensive library of reusable agentic components and workflow templates that accelerate automation deployment across business functions.
- Partner with Business Partners to identify and prioritize high-impact opportunities for agentic AI implementation with detailed business case analysis.
- Develop agentic system monitoring and optimization practices ensuring reliable performance, accuracy, and cost efficiency.
- Research and recommend emerging agentic AI platforms and technologies for potential adoption with hands-on evaluation and implementation guidance.
- Create citizen developer enablement materials including agentic workflow templates, training resources, and best practice guidelines.
- Establish agentic AI governance practices including approval workflows, risk assessment, and compliance validation procedures.
- Complete advanced training in agentic AI, workflow orchestration, or emerging automation technologies relevant to enterprise applications.
- Contribute to BWE's competitive advantage by pioneering innovative agentic use cases and automation strategies.
Minimum Qualifications:
- 5+ years of experience building AI-driven workflows, intelligent automation, or low-code/no-code solutions in enterprise environments.
- Hands-on experience with Microsoft Power Platform (Power Automate, Power Apps), Microsoft Copilot Studio, and Large Language Model (LLM) integration.
- Strong grasp of prompt engineering, conversation design, logic flows, and business process optimization techniques.
- Experience with API integration, data transformation, and system connectivity for workflow automation.
- Knowledge of agentic AI concepts including multi-step reasoning, tool usage, and autonomous decision-making systems.
- Understanding of business process design, user experience principles, and change management for automation adoption.
- Bachelor's degree in Computer Science, Engineering, Business Technology, or related field, or equivalent work experience.
- Creative, fast-moving builder with prototyping mindset and deep understanding of user needs and business workflows.
Preferred Qualifications:
- Experience with advanced agentic AI platforms and orchestration tools beyond Microsoft ecosystem.
- Knowledge of machine learning, natural language processing, and conversational AI development.
- Familiarity with enterprise integration patterns, API management, and cloud-native application development.
- Experience in CRE, financial services, or regulated industries with complex compliance and audit requirements.
- Understanding of AI governance, responsible AI deployment, and risk management for autonomous systems.
- Previous experience leading automation initiatives or digital transformation projects.
- Knowledge of emerging technologies including multi-modal AI, autonomous agents, and AI orchestration platforms.
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - AI Strategy - Senior Manager - Oil & Gas Sector
The opportunity
As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You’ll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations.
As a Senior Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.
Your key responsibilities
In this role, you will lead the delivery of complex AI strategies that enhance business effectiveness and efficiency. You will work closely with clients to envision how AI can transform their markets, products, and capabilities. This position offers the opportunity to engage with business and technology leaders, driving strategic programs that significantly impact their operations.
- Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
- Manage client relationships, focusing on revenue generation and the identification of new opportunities.
- Develop and manage resource plans and budgets for engagements, ensuring alignment with performance objectives.
- Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance).
- Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
- Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision‑making tasks in complex environments.
- Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
- Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end‑to‑end AI platforms and solutions.
- Partner with senior business and IT leaders to identify strategic opportunities and shape AI‑enabled business transformation.
- Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
- Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS).
- Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI.
- Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector‑specific solutions.
Skills and attributes for success
To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial.
- Strong analytical and decision‑making skills to develop solutions to complex problems.
- Proven experience in managing client relationships and leading teams.
- Ability to communicate effectively and influence stakeholders at all levels.
To qualify for the role, you must have
- Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
- 10+ years of experience in technology consulting, digital transformation, or AI‑driven business solutions.
- 5+ years of leadership in AI/ML projects, including team management and executive stakeholder engagement.
- Typically, no less than 5 — 7 years of relevant experience.
- Strong expertise in AI Platforms and Tools.
- Proficiency in Data Architecture Design and Modelling.
- Experience in Digital Transformation and IT Effectiveness Assessment.
- Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
- Ability to build and manage relationships effectively.
- Strong exposure to oil & gas industry operations, value levers, and use case landscape.
- Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
- Hands‑on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG).
- Experience architecting and scaling MLOps platforms and data science workflows in cloud‑native environments.
- Proficiency in Python and tools like Pandas, PyTorch, Scikit‑learn, Spark, SQL.
- Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools.
- Strong client‑facing skills with the ability to articulate technical topics to business executives.
Ideally, you’ll also have
- Experience in managing change and leading teams.
- Strong negotiation and influencing skills.
- Familiarity with sector knowledge and commercial acumen.
- Prior experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
- Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
- Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
- AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
- Exposure to agile delivery models and design thinking approaches.
What we look for
We seek individuals who are not only skilled but also passionate about driving innovation and transformation through AI. Top performers are those who can think critically, solve complex problems, and communicate effectively with diverse stakeholders. If you are eager to make a significant impact and thrive in a collaborative environment, we want to hear from you!
What we offer you
At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .
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Company Description
Edensign is building the future of AI-powered visual and spatial engine. Backed by the Harvard Innovation Labs, we’re creating next-generation intelligent systems that merge generative AI, 3D understanding, and spatial intelligence to transform how real-world spaces are visualized, staged, and experienced.
Contact Email:
Role Description
Full-time | Preference for Boston based candidates
We’re looking for a senior technical leader to drive the development of our core AI engine. The ideal candidate has deep experience training large generative models, including diffusion, 3D reconstruction networks, multimodal, VLM architectures. In this role, you will spearhead model training pipelines, R&D experiments, data strategy, and foundational architecture decisions.
This is an opportunity to help build the next generation of spatial AI - from multi-view consistency to 2D-to-3D-to-2D transformation and advanced scene understanding.
Key Responsibilities
- Design, train, and optimize cutting-edge generative models, including diffusion, 3D reconstruction, and multimodal/VLM architectures
- Build and manage scalable training pipelines, data curation workflows, and experiment tracking
- Lead research experiments, benchmarking, and exploration of new modeling techniques
- Architect the evolution of our spatial AI stack—from prototyping new ideas to deploying production-ready models
- Collaborate with engineering and product teams to integrate AI capabilities seamlessly into real-world workflows
- Make strategic decisions around infrastructure, GPU utilization, model efficiency, and training optimization
- Contribute to Edensign’s long-term technical roadmap and innovation direction
Qualifications
- Strong expertise in training generative models (diffusion, GANs, 3D generative models, or scene-reconstruction networks)
- Deep background in Computer Vision, Computer Graphics, 3D geometry, NeRF-like architectures, or multi-view learning
- Familiarity with node-based generative tools (e.g., ComfyUI) is a plus
- Experience with VLMs, multimodal models, grounding, or spatial reasoning is highly valuable
- Proficiency in Python and modern ML frameworks
- Hands-on experience with distributed training, GPU optimization, and large-scale experiment management
- Ability to work independently and lead technical direction in a fast-paced startup environment
- Strong analytical, problem-solving, and system design skills
- Excellent communication and collaboration skills
- Master’s or PhD in Computer Science, AI/ML, Computer Vision, or a related field
- Experience in real estate, architecture, spatial design, or spatial computing is a bonus
- Proficiency in Mandarin is preferred
