Suno, AI Jobs in Usa

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.

GENERAL SUMMARY:

The Manager of AI Enablement (Senior) leads the development and execution of Element Care’s internal approach to artificial intelligence. This role defines AI standards, policies, and best practices while enabling staff across the organization to adopt AI safely, ethically, and effectively. Reporting to the IT department, this position acts as a trusted advisor to leaders and end users, shaping AI governance, vendor strategy, training, and enterprise enablement.

ESSENTIAL RESPONSIBILITIES:

•    Define and maintain organizational AI standards, policies, and governance frameworks.

•    Lead the deployment of off-the-shelf AI solutions, including ambient documentation, predictive analytics, administrative automation, and clinical decision support tools.

•    Enable responsible use of generative AI across administrative and operational functions.

•    Conduct continuous workflow analysis to identify automation and AI-enablement opportunities.

•    Evaluate AI and AI/ML models, tools, and vendor solutions for suitability, risk, and value.

•    Partner with IT, data, analytics, and platform teams to align AI initiatives with enterprise architecture.

•    Provide oversight and guidance on AI-enabled workflows, automation, and agent capabilities.

•    Measure, monitor, and report on AI initiative outcomes, value realization, and performance.

•    Build business cases and recommendations for future AI investments.

•    Serve as the primary advisor to leaders and teams on AI use cases, risks, and governance.

•    Monitor regulatory, ethical, and industry developments related to AI.

•    Help establish and mature a scalable AI enablement and governance operating model.

•    Influence adoption and consistency without direct authority.

•    Perform other duties as assigned.

JOB SPECIFICATION:

•    6–10+ years of relevant professional experience, including applied AI, automation, analytics, or emerging technology leadership.

•    Demonstrated experience evaluating AI/ML models, vendor solutions, or AI platforms.

•    Experience with vendor management, solution selection, or hands-on implementation required.

•    Demonstrated experience defining standards, policies, or enterprise enablement programs.

•    Healthcare or other regulated industry experience strongly preferred.

•    Strong understanding of applied AI, AI/ML evaluation, governance, risk, and ethical considerations.

•    Ability to translate complex concepts into practical organizational guidance.

•    Experience developing business cases and value narratives for technology investments.

•    Executive-level communication and facilitation skills.

•    Proven ability to operate independently and influence across the enterprise.

•    Strategic mindset with a pragmatic, implementation-oriented approach.

Compensation details: 13 Yearly Salary

PI71b2d5685c13-3631

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

• 
  
• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

• 
  
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

• 
  
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5‑10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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

• 
  
• 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.
  

• 
  
• 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
  

• 
  
• 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).
  

• 
  
• 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.
  

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Role Summary

Lead the strategy, platform build-out, and adoption of AI/ML across Research for global digital transformation effort, making AI agents, models, and tools a daily, accessible part of wet‐lab and dry‐lab scientists' workflows. Translate AF priorities into a practical, compliant AI services layer—data foundations, MLOps, agentic assistants, model governance, and change enablement—that shortens time from experiment to insight and elevates decision quality across discovery programs.

Objectives / Purpose

• Define and execute a multi‐year AI/ML roadmap aligned to Research use cases and KPIs.
• Establish an AI‐ready data foundation (FAIR-by-design) and scientist‐facing AI tools embedded in ELN/LIMS/instrument workflows.
• Institutionalize Responsible AI & GxP-aware governance for production models.
• Drive adoption through super-user networks, training, and change management to achieve measurable value and ROI.

Scope / Impact

Global Research scope with cross‐site collaboration (US/EU/JP). Direct impact on data-to-decision latency, assay/analysis reproducibility, and portfolio productivity. Partner with operations, Computational Sciences & Data Strategy, IT, function leads, and platform teams to deliver outcomes at scale.

Accountabilities

Strategy & Roadmap

• Own Research's AI/ML strategy and sequencing (MVP → scale) across wet‐lab dry‐lab integration and self‐service tools.
• Align priorities with Research's KPIs and portfolio goals; establish and monitor achievement of success criteria and milestones.

Platform, Data & Integration

• Guide the development of AI‐ready data foundations (provenance, metadata/ontologies, harmonization) across ELN/LIMS, instruments, imaging, and omics.
• Integrate platforms (e.g., ELN, SDMS & AI Cloud) to liberate, contextualize, and operationalize lab data for AI/ML.
• Stand up modern MLOps (CI/CD, registries, experiment tracking, monitoring) and secure service/APIs embedded in workflows.

Agentic AI & Productization

• Design self-service and user-friendly processes for deployment of AI agents for scientists (literature triage, protocol assist, data QC, analysis pipelines, code helpers).
• Guide engineering efforts to deliver production models (e.g., sequence/structure prediction, assay QC, outlier detection, multimodal analytics).

Adoption & Change Enablement

• Lead adoption via super‐user networks, training, and communications; co‐own readiness plans with NCSP.
• Work with Change Management leads to publish playbooks and guardrails enabling self‐service AI workflows for scientists.

Governance, Risk & Compliance

• Define and Implement Responsible AI and risk‐based governance (ALCOA+, validation mindset, audit trails, XAI, privacy/PII controls).

Impact & Reporting

• Own measurable impact (adoption, latency, reproducibility, ROI) and provide transparent reporting to R&D leadership and key stakeholders.

Qualifications

Required

PhD degree in a scientific discipline with 10+ years experience , or

MS with 16+ years experience, or BS with 18+ years experience (preferably in Advanced degree in Computer Science, AI/ML, Computational Biology/Chemistry, Bioinformatics, or related; or equivalent industry experience.)

Proven MLOps platform build and delivery of scientist‐facing AI tools embedded in ELN/LIMS/instrument workflows.

Expertise in FAIR data, scientific data models/ontologies, and integration across wet‐lab instruments, imaging, and omics.

Experience with Responsible AI and GxP‐adjacent validation/governance in pharma/biotech R&D.

Strong stakeholder management; ability to translate complex science/data into usable AI for end users.

Preferred

• Experience working in wet-labs and knowledge of Research and Development workflows and processes in either the biologics and/or small molecule fields
• Agentic AI systems and LLMs for scientific contexts; multimodal ML (text/images/sequences/numerical).
• Knowledge of Research/Pharma Sci common data models and cloud analytics/HPC integrations.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

We’re hiring a B2B SaaS Account Executive to sell AI-powered solutions to growing and enterprise businesses. This role is designed for someone who is genuinely AI-obsessed—the kind of seller who actively follows new models, experiments with AI tools, and wants to be at the front line of how AI is changing the way companies operate.

As an AI 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.

If you’re the kind of person who keeps up with AI breakthroughs, tests new tools for fun, and wants your sales career tightly aligned with the future of AI, Commercient is where you’ll thrive.

Location: Atlanta, GA (Hybrid) — open to fully remote candidates based in the United States

What You’ll Do

As our AI 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.

Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock.

We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7.

We are looking for a pragmatic Applied AI Engineer to join our engineering team.

The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs.

Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data.

You will solve problems like:

• Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents)  from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible.
• Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis.
• Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen.

• Engineer the Integration: Writing production-grade code that interacts with external AI APIs
• "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools.
• Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user.
• Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval.
• Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand.

• Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. 
• Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails.
• Data Handling: Experience with handling complex data structures.
• The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features.
• Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices.

• Experience with AWS infrastructure.
• Familiarity with the US Real Estate, Title, or Escrow process.

• Working in a transparent environment which focuses on solving problems and getting things done.
• The opportunity to work with very smart and driven people.
• The ability to grow your talents and career in a high-growth sector.
• A remuneration package that is based on the candidate's motivation, skills, and experience.

Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable. 

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.

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.