Head of AI Engineering Productivity & Cluster Innovation

AMD; Seattle (WA); On-site; USD 320,000 - 460,000; Full time

Job summary

AMD is seeking a visionary Head of AI Engineering Productivity to lead AI enablement across software and hardware engineering, driving agentic systems that scale across AMD’s development lifecycle.

You will partner with engineering, research, product, and business teams to embed AI into daily workflows, elevate productivity, and accelerate validation, deployment, and collaboration across clusters and platforms in Seattle, Santa Clara, or Austin.

Qualifications

• Deep expertise in AI/ML systems, LLMs, and agentic architectures.
• Hands-on experience with agent frameworks, orchestration, memory, evaluation, and model deployment.
• Experience delivering platform-level AI solutions within large engineering organizations.

Responsibilities

• Define and execute AMD’s AI enablement strategy across software engineering, hardware development, validation, operations, and business functions.
• Lead the adoption of AI copilots, autonomous agents, and intelligent workflows throughout the engineering lifecycle.
• Deploy agentic systems that autonomously triage issues, route work, and propose solutions across large‑scale engineering environments.
• Build scalable AI platforms, APIs, frameworks, and services that accelerate safe and effective AI adoption across teams.
• Establish best practices for AI model integration, evaluation, deployment, governance, and operationalization.
• Develop reusable agent frameworks that support tool orchestration, memory management, workflow automation, and customization.
• Identify opportunities to replace manual processes with intelligent, AI‑driven workflows that improve efficiency and scalability.
• Drive measurable improvements in engineering productivity, developer velocity, hardware validation cycles, and organizational effectiveness.
• Enable AI‑powered capabilities such as documentation generation, onboarding assistants, knowledge retrieval, and workflow automation.
• Transform internal support functions through conversational agents capable of executing tasks across business operations.
• Partner with engineering, research, infrastructure, and product leaders to identify priorities and accelerate AI adoption.
• Collaborate with external partners, model providers, infrastructure vendors, and open‑source communities to incorporate best‑in‑class technologies.
• Optimize AI platform performance, inference efficiency, and operational cost at scale.
• Evaluate emerging AI ecosystems, multimodal models, development tools, and agentic technologies to guide strategic investments.

Skills

AI/ML systems

LLMs

Agentic architectures

AI copilots

Autonomous agents

Intelligent workflows

Memory architectures

Model deployment

Education

Bachelor’s degree in Computer Science/Engineering/AI

Master’s degree or PhD preferred

Tools

PyTorch

TensorFlow

Job description

AMD is seeking a visionary Head of AI Engineering Productivity to lead AI enablement across software and hardware engineering, driving agentic systems that scale across AMD’s development lifecycle.

You will partner with engineering, research, product, and business teams to embed AI into daily workflows, elevate productivity, and accelerate validation, deployment, and collaboration across clusters and platforms in Seattle, Santa Clara, or Austin.