Head of AI Engineering Productivity—Global Clusters

Advanced Micro Devices; Seattle (WA); On-site; USD 210,000 - 320,000; Full time

Job summary

Advanced Micro Devices is seeking a visionary Head of AI Engineering Productivity to lead AI enablement and accelerate agentic systems across software and hardware engineering workflows. This role sits at the apex of AMD’s cluster innovation, driving step‑function improvements in how software is built, hardware is validated, and decisions are made.

The ideal candidate defines and executes a roadmap to operationalize AI across engineering, cluster validation, and delivery, turning emerging

Qualifications

• Deep expertise in AI/ML systems and LLMs.
• Experience with agentic architectures and intelligent workflows.
• Proven track record delivering platform-level AI solutions at scale.

Responsibilities

• Define and execute AMD’s AI enablement strategy across software and hardware engineering.
• Lead adoption of AI copilots and autonomous agents across the engineering lifecycle.
• Deploy agentic systems to triage issues, route work, and propose solutions at scale.
• Build scalable AI platforms, APIs, frameworks, and services for safe AI adoption.
• Establish best practices for AI model integration, evaluation, deployment, and governance.
• Develop reusable agent frameworks for tool orchestration and workflow automation.
• Identify opportunities to replace manual processes with AI-driven workflows.

Skills

AI/ML systems

LLMs

Agentic architectures

AI tooling

AI-native workflows

AI copilots

Autonomous agents

Workflow systems

Education

Bachelor's degree in CS/Engineering

Job description

Advanced Micro Devices is seeking a visionary Head of AI Engineering Productivity to lead AI enablement and accelerate agentic systems across software and hardware engineering workflows. This role sits at the apex of AMD’s cluster innovation, driving step‑function improvements in how software is built, hardware is validated, and decisions are made.

The ideal candidate defines and executes a roadmap to operationalize AI across engineering, cluster validation, and delivery, turning emerging