AI Workforce Development Engineer
Core
Design and build hands-on learning artifacts, reference workflows, and technical curriculum to upskill engineers in AI productivity tools and generative AI platforms.
Role type
Senior IC AI Workforce Development Engineer
Builds
Reusable technical templates, end-to-end AI workflows, and training labs for internal teams and citizen developers
Domain
Semiconductor industry + Generative AI / Machine Learning
Deliverable
production ML models | product features
Required skills
Python, Generative AI (LLMs, RAG, agentic workflows), MLOps/LLMOps, technical curriculum design, hands-on lab infrastructure setup, end-to-end solution architecture
Preferred skills
JavaScript/TypeScript, cloud AI platforms, internal developer tooling, manufacturing/engineering domain knowledge
Technologies
Python, LLMs, RAG, agentic workflows, cloud AI platforms
Responsibilities
Build hands-on training content (labs, code samples) and capture Best Known Methods as reusable artifacts; Design and develop reference end-to-end AI workflows and templates; Deliver Generative AI master classes and technical seminars; Provide technical mentoring and define advancement criteria for technical leadership programs; Create enablement tooling and starter kits for citizen developers
Seniority
Senior, hands-on IC