Head of AI Engineering Productivity

Responsibilities

• Define and execute AMD’s AI enablement strategy across software engineering, hardware development, validation, and operations.
• Lead the adoption of AI copilots, autonomous agents, and intelligent workflows throughout the engineering lifecycle.
• Deploy agentic systems to autonomously triage issues, route work, and propose solutions across large-scale environments.
• Build scalable AI platforms, APIs, frameworks, and services to accelerate safe and effective AI adoption.
• Establish best practices for AI model integration, evaluation, deployment, governance, and operationalization.
• Drive measurable improvements in engineering productivity, developer velocity, and hardware validation cycles.
• Partner with engineering, research, and product leaders to identify priorities and accelerate AI adoption.
• Optimize AI platform performance, inference efficiency, and operational cost at scale.

Requirements

• Deep expertise in AI/ML systems, Large Language Models (LLMs), and agentic architectures.
• Hands-on experience with agent frameworks, tool orchestration, and memory management.
• Experience delivering platform-level AI products and production-ready solutions within large-scale organizations.
• Proven track record of driving cross-organizational transformation initiatives.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.

Preferred Qualifications

• Master’s or PhD degree in a technical field.
• Expertise in implementing intelligent automation such as automated bug triage and knowledge retrieval systems.
• Experience optimizing inference performance and AI infrastructure at enterprise scale.
• Knowledge of multimodal models and emerging AI ecosystems.

About the Company

AMD is on a mission to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming, and embedded systems. Grounded in a culture of innovation and collaboration, we push the limits of technology to solve the world’s most important challenges.