AMD

1 week ago

Head of AI Engineering Productivity, Global Cluster Engineering

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Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Lead AI enablement to accelerate adoption of agentic systems across AMD’s software and hardware engineering workflows. Define and execute an AI strategy spanning engineering lifecycles, cluster validation, and delivery. Drive adoption of AI copilots and autonomous agents, build scalable AI platforms and APIs, and establish best practices for model integration, evaluation, deployment, governance, and operationalization to measurably improve productivity and developer velocity.

Location: Seattle, Santa Clara, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key Responsibilities

•Define and execute AMD’s AI enablement strategy across software engineering, hardware development, validation, operations, and business functions.
•Lead adoption of AI copilots, autonomous agents, and intelligent workflows throughout the engineering lifecycle.
•Deploy agentic systems that triage issues, route work, and propose solutions across large-scale engineering environments.
•Build scalable AI platforms, APIs, frameworks, and services to accelerate safe, effective AI adoption across teams.
•Establish best practices for AI model integration, evaluation, deployment, governance, and operationalization.

Key Requirements

•Deep expertise in AI/ML systems, Large Language Models (LLMs), agentic architectures, and AI-native developer workflows.
•Hands-on experience with agent frameworks, orchestration, memory architectures, evaluation systems, and model deployment.
•Experience delivering platform-level products and production-ready AI solutions in large-scale engineering organizations.
•Expertise implementing intelligent automation, including automated bug triage, issue routing, workflow automation, and conversational AI.
•Bachelor’s degree in a technical field; Master’s or PhD preferred.

Experience:AI/MLLarge Language ModelsAgentic systemsPlatform engineeringEnterprise engineering

Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, Software Engineering, or a related technical field

Skills:LeadershipStrategic planningCollaborationExecution excellence

Languages:English

Tech Stack:Large Language Models (LLMs)Agentic architecturesAI copilotsAutonomous agentsAI platformsAPIsTool orchestrationMemory architecturesModel evaluationModel deploymentMultimodal modelsOpen-source AIInference efficiencyWorkflow automationKnowledge retrieval

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD