Head of AI Engineering Productivity, Global Cluster Engineering
Core
Lead AI enablement and accelerate the adoption of agentic systems across software and hardware engineering workflows to drive productivity.
Role type
Senior IC Head of AI Engineering Productivity
Builds
Scalable AI platforms, APIs, frameworks, and services for engineering teams
Domain
Semiconductor / AI Engineering / Cluster Validation
Deliverable
production ML models
Required skills
AI/ML systems, Large Language Models (LLMs), agentic architectures, modern AI tooling, AI copilots, autonomous agents, intelligent workflow systems, agent frameworks, tool use, orchestration systems, memory architectures, evaluation systems, model integration, model evaluation, model deployment, intelligent automation, inference optimization, AI infrastructure, scalability, operational efficiency, multimodal models, open-source AI communities, developer productivity tools
Preferred skills
Platform-level product delivery, cross-organizational transformation, strategic and hands-on operation
Technologies
LLMs, agentic frameworks, orchestration systems, multimodal models, open-source AI tools
Responsibilities
Define and execute AI enablement strategy across engineering functions, lead adoption of AI copilots and autonomous agents, deploy agentic systems for issue triage and workflow automation, build scalable AI platforms and services, establish best practices for AI model integration and governance, develop reusable agent frameworks, identify opportunities to replace manual processes with AI-driven workflows, drive improvements in engineering productivity and validation cycles, enable AI-powered capabilities like documentation generation and knowledge retrieval, partner with engineering and product leaders, collaborate with external partners and open-source communities, optimize AI platform performance and operational cost
Seniority
Senior, hands-on IC
