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AI Innovation Architect
Location: Hybrid; Ashburn, VA; Springfield, VA; Washington, D.C.
Clearance: U.S. Citizen; Must have an active Top-Secret Clearance or DHS Public Trust Clearance.
InDev is seeking a senior strategic and technical AI Architect responsible for designing, building, and deploying artificial intelligence solutions that support mission outcomes across the homeland security market. In this role you will bridge advanced AI capabilities - including machine learning, natural language processing, and data engineering - with operational requirements, ensuring solutions are secure, scalable, and aligned with the homeland security mission.
YOUR FUTURE DUTIES AND RESPONSIBILITIES
- Define overall system architecture, selecting and governing Artificial Intelligence / Machine Learning (AI/ML) and platform technologies, and ensuring solutions are scalable, secure, and production-ready
- Lead end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across enterprise data sources
- Partner closely with development, DevOps and data engineering teams to translate project requirements into an extensible AI architecture
- Create and promote AI strategies that align with business objectives
- Develop and coordinate POCs to test new technologies
- Evaluate and select appropriate AI tools, frameworks, and platforms (i.e., AWS, Azure, Google) to drive innovation
QUALIFICATIONS
- U.S. Citizen; Active Top-Secret Clearance or DHS Public Trust Clearance
- 8+ years of experience delivering AI solutions across federal agencies
- Bachelor’s degree in Computer Science, Engineering, or Data Science
- Deep understanding of machine learning (ML), deep learning, Natural Language Processing (NLP), and neural networks
- Experience with cloud platforms (AWS, Google Cloud, Azure) and container orchestration tools like Kubernetes and Docker
- Ability to identify high-impact AI use cases and translate them into technical requirements
- Experience designing, building, and deploying advanced AI systems including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models
- Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as SageMaker, Vertex AI, Bedrock, or Gemini
- Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG
- Experience developing and maintaining AI/ML roadmaps, performing Analysis of Alternatives, and making defensible technical tradeoff decisions
- Experience leading multidisciplinary teams, including data scientists, engineers, and business stakeholders
- Excellent written and oral communication skills
- Ability to tailor and present information across multiple stakeholders
NICE TO HAVES
- Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)
- Experience implementing virtual agents within SaaS/PaaS platforms (e.g., ServiceNow Virtual Agent, Salesforce Agentforce, etc.)
- Experience with Google Gemini
ABOUT US
At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us.
WHY INDEV
- Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.
- Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.
- Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.
- Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.
- Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.
- Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.
If you’re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let’s shape the future together.
Director of AI
Location: Chicago, IL (Remote Eligible – must be US based)
Salary: $250,000 – 280,000 base + bonus
We’re partnering with a global education technology company undergoing a major transformation from a traditional publisher into a data and AI driven digital learning platform. The organization is investing heavily in AI and advanced data capabilities to deliver personalized learning experiences at global scale.
They are hiring a Director of AI to lead a team of AI researchers and data scientists responsible for developing and deploying advanced machine learning and Generative AI solutions across the enterprise.
The Role:
This is a highly strategic role that combines technical leadership, team management, and hands-on architectural oversight. The Director of AI will help define the long-term AI roadmap while working closely with product, engineering, and business stakeholders to bring production AI systems to life.
What you’ll do:
- Lead and grow a team of AI researchers and data scientists, providing technical mentorship and career development
- Define and execute the AI strategy and roadmap, with a strong focus on Generative AI capabilities
- Partner with product, engineering, and business teams to identify high-impact AI opportunities
- Oversee the design, development, and deployment of production-grade AI and ML systems
- Translate complex technical work into clear insights for both technical and executive stakeholders
- Manage project timelines, priorities, and team resources to ensure successful delivery of AI initiatives
What They’re Looking For
- PhD in Artificial Intelligence, Data Science, Computer Science, or a related technical field
- 8+ years of experience in AI, machine learning, or data science
- Proven experience leading teams of AI researchers or data scientists
- Deep expertise in machine learning, AI systems, and Generative AI technologies
- Strong communication skills with the ability to present technical concepts to senior leadership
- Experience collaborating cross-functionally with product, engineering, and business teams
Nice to Have
- Experience deploying Generative AI solutions in production environments
- Experience working in large-scale technology or digital product organizations
- Exposure to education technology or learning platforms
This role offers the opportunity to shape the AI strategy for a global platform impacting millions of learners worldwide, while leading a highly technical team working on cutting-edge machine learning systems.
Senior Business Analyst Life & Annuities
Onsite in WDM office 4 days a week
Contract
Overview:
We are seeking an experienced Senior Business Systems Analyst (AI Enablement) to support ***’s AI transformation initiatives. This role will partner with ***’s BSA team, IT leadership, and PMO to understand current SDLC processes, identify pain points, gaps, and inconsistencies across teams, and translate findings into a more streamlined, AI-enabled operating model.
The BSA will assess our current requirements elicitation process and help define how an AI-infused approach can significantly improve the thoroughness, completeness, and quality of user requirements specifically for consumption by an AI coding agent. This includes identifying cross-system dependencies, non-functional requirements, and user personas from initial requirement elicitation through Jira story creation. This role will help transform our BSA capabilities by leveraging custom-built AI solutions to accelerate cycle time, improve consistency, and reduce downstream rework.
This role will also define measurable success criteria and develop metrics to evaluate process improvements and AI impact across the SDLC: gathering requirements across several other SDLC-related AI initiatives and provide light project management support across multiple AI workstreams.
Key Responsibilities
Assess current BA workflows, documentation standards, and impact analysis processes from user requirement elicitation through Jira story creation, identifying gaps, redundancies, inconsistencies and improvements across teams.
Identify friction points and define AI-enabled use cases with measurable business outcomes.
Drive feedback loops for AI proofs of concept (POCs) delivered to teams by gathering structured user input, measuring adoption and effectiveness, and incorporating insights into iterative improvements.
Develop clear, actionable requirements including user stories, acceptance criteria, non-functional requirements, personas, and upstream/downstream system impacts.
Determine and help establish processes or patterns to ensure user requirements align with current system capabilities. Proactively identify cross-system dependencies, technical constraints, gaps, and system limitations in collaboration with engineering teams to ensure requirements are technically feasible and implementation-ready.
Support backlog grooming, sprint planning, demos, and pilot validation sessions.
Track progress across multiple AI initiatives, manage dependencies and risks, and maintain clear stakeholder communication.
Develop and maintain lightweight project plans, timelines, and status reporting to ensure AI initiatives remain aligned with business priorities and strategic objectives.
Required Qualifications
5+ years of Business Analysis or Business Systems Analysis experience in technology or software environments.
Strong requirements elicitation, documentation, and facilitation skills.
Experience working in Agile environments with cross-functional teams.
Practical familiarity with AI tools (e.g., Claude Code CLI, ChatGPT, Copilot) and understanding of AI concepts (LLMs, prompt engineering, AI governance, and AI risk considerations).
Strong systems thinking, structured communication, and stakeholder management skills.
Preferred Experience
Experience implementing AI or automation solutions within enterprise environments.
Familiarity with AWS AI services (e.g., AWS Bedrock) or other enterprise AI platforms.
Familiarity with Jira, Confluence, GitHub, or similar SDLC ecosystems.
Experience supporting PMO processes or managing multiple concurrent initiatives along with a functional understanding of Agile practices.
Financial services or insurance industry experience.
Success Measures
Successful delivery of an AI-enabled solution for ***’s BSA team.
Improved BA workflow efficiency, quality, and consistency.
High-quality, implementation-ready requirements that reduce downstream rework and delivery thrash.
Effective coordination, transparency, and measurable progress across AI initiatives.
Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!
The Role:
Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.
Responsibilities Include:
Architecture & Technical Strategy
- Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
- Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
- Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
- Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.
AI Engineering & Delivery
- Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
- Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
- Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
- Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
- Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
- Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
- Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
- Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.
Hands-On Engineering
- Write production code and lead by example — this role requires someone who is still close to the code.
- Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
- Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
- Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
- Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
- Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.
Leadership & Client Advisory
- Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
- Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
- Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
- Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
- Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
- Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
- Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
- Contribute to Launch's growth — practice development, thought leadership, and hiring.
Qualifications:
Must-Haves:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
- 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
- Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
- Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
- Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
- Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
- Experience leading engineering teams in agile delivery environments.
- Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
- Executive presence and communication skills effective with both technical and non-technical audiences.
- Proven ability to operate in ambiguous environments and adapt to diverse client cultures.
Strong Differentiators
- Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
- Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
- Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
- Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
- Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
- Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
- Domain depth in industries such as healthcare, financial services, retail, or public sector.
Compensation & Benefits:
As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.
We’re hiring a B2B SaaS Account Executive to drive growth for our AI-powered solutions used by growing and enterprise businesses.
As an Account Executive at Commercient, you’ll own the full sales cycle for our AI automation and chatbot solutions, from prospecting and demos to closing complex B2B SaaS deals. You’ll work directly with customers to understand real business problems and translate cutting-edge AI—LLMs, intelligent automation, and ERP–CRM integrations—into practical, high-impact outcomes. This is a SaaS sales role for someone excited to sell sophisticated AI technology, engage senior stakeholders, and help shape the next generation of AI-driven sales motions.
At Commercient, you’ll own the full sales cycle, working directly with decision-makers to understand business challenges and position high-impact solutions that combine ERP, CRM, and AI capabilities.
Location: Atlanta (Hybrid)/US (remote)
What You’ll Do
As our Sales Representative, you’ll be on the front lines driving our growth:
- Prospect, pitch, and close deals for our AI technology solution such as our chatbot
- Build and nurture strong client relationships with Salesforce, HubSpot, Zoho, etc.
- Represent Commercient at meetings, demos, and events across the US
- Gather insights from the market to help shape our product and sales strategy
- Hit and exceed sales targets while growing your career in a fast-moving company
- Travel to several conferences per year in the US
Who You Are
- Sales hunter with a passion for building relationships and closing deals
- Energetic, ambitious, and motivated by results
- AI enthusiast who likes to learn about AI and stays current with the trends
- Comfortable meeting clients and thriving in a dynamic, less-structured environment
- Bachelor’s degree or equivalent experience in Sales, Business Development, or related fields (optional if you have killer sales results!)
- 3-7 years of experience in SaaS or AI solution sales (ERP, CRM, or automation experience strongly preferred)
- Familiarity with Salesforce, HubSpot, or ERP ecosystems
- Understanding of AI chatbots, RAG systems, or natural language interfaces (bonus if you can explain GPT, embeddings, or vector databases in plain English)
- Consultative, high-EQ selling style with technical curiosity
- Comfortable engaging at C-level and VP-level
- Self-starter with strong pipeline discipline and storytelling ability
- Excited about shaping a next-generation AI sales motion
- Experience with any Chatbot or LLM tech stack: Google Gemini, Google AI Studio, Open AI, Liveperson, Drift chat, Microsoft Copilot, Agents, Agentforce, HubSpot AI, Support desk or Helpdesk AI assistants, Slack AI assistants, etc.
- Comfortable working independently in a remote team environment
- Applicants must have near-native English proficiency. A short written and verbal English evaluation will be part of the selection process.
Not for you if: you dislike rejection or ambitious goals.
Why Join Us?
- Be a key player in our expansion — your impact is direct and visible
- Work closely with founders and an international team
- Learn and grow in a tech-driven, fast-moving environment
- We have an engaging, collaborative culture focused on succeeding together
Compensation & Perks
- Competitive base starting at $55k (based on experience) + commission — uncapped, performance-driven commissions per annual On Target Earnings (OTE)
- Our compensation plan creates a space for you to be in control of what you make. The base is a great start, but uncapped commission is accessible your entire career with us (your base and commission will increase as you grow with the company).
- Comprehensive Benefits Package
- 401k program with generous company match
- PTO
- Hybrid role based in Atlanta, GA with fully remote option for US-based candidates
About Commercient
Commercient helps growing companies streamline Sales, Marketing, and Customer Service by seamlessly connecting ERP and CRM systems through our AI-driven integration platform. Over 50,000 users rely on Commercient SYNC daily to automate key business processes—sales, billing, invoicing, and payments—across top CRMs like Salesforce, HubSpot, and Microsoft Dynamics. We’re an innovative, global SaaS company with 20+ years of experience and customers in 1,000+ organizations worldwide.
Why Work With Us
- Work remotely with a diverse, supportive, and fun global team
- Be part of an innovative company that embraces cutting-edge technology
- Enjoy learning and development opportunities to grow your career
- Flexible work-life balance and an environment where ideas thrive
Ready to join an innovative team building the world’s leading ERP–CRM integration platform? Apply today and grow your career with Commercient.
Remote working/work at home options are available for this role.
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
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.
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.
Generative AI Developer Location: Dallas TX/ Tampa FL/New Jersey
- Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques.
The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP).
This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.
Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.
Required Skills & Qualifications 8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.
Email:
Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas,Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem
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.
Consulting - Tech Consulting - FinTech – AI Finance - Senior Manager
Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.
The opportunity
The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.
Your key responsibilities
The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including:
Leading the design and delivery of system architecture solutions in collaboration with technical teams.
Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.
Skills and attributes for success
Proven ability to manage and deliver complex solutions.
Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.
Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications
Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies
Leading the design and implementation of an extensible common information model for the FDL Blueprint
Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps
Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security
Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL
Supporting the establishment and maintenance of a robust data governance framework for the FDL
Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications
Ability to travel as required for client engagements and project needs.
To qualify for the role, you must have
Bachelor\'s degree in Finance, Accounting, Business, Computer Science
Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:
Strategic financial planning, budgeting, and forecasting processes
Financial modeling and scenario analysis
Variance analysis and management reporting
Cross-functional collaboration with business stakeholders
Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:
Anaplan (Certified Model Builder preferred)
Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)
Oracle Hyperion
OneStream, Tagetik, or similar platforms
Solid understanding of financial data architecture and governance, including:
Financial data modeling and dimensional design
Chart of accounts structuring and hierarchy management
Data quality standards and reconciliation processes
Master data management for finance applications
Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)
Excellent communication, collaboration, and problem-solving skills
Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies
Strong business skills including relationship management, commercial awareness, and communication.
Strong analytical and problem solving skills as well as excellent oral and written communication skills
A willingness to travel to meet client needs.
Ideally, you’ll also have
Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred
A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.
Exceptional interpersonal skills to foster team collaboration and client trust.
A proactive approach to problem-solving and decision-making.
Experience in leading diverse teams in dynamic environments.
What we look for
We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.
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 $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. 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 | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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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