Product Development Engineer - AI Systems

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is 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 believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE ROLE:

THE PERSON:

KEY RESPONSIBILITIES:

• Design and develop multiagent analytics workflows, enabling specialized AI agents to collaborate on data retrieval, hypothesis generation, rootcause analysis, and insight summarization.
• Implement agent orchestration logic, including task decomposition, planning, routing, and interagent communication.
• Integratelarge language models with structured data sources, analytics engines, and internal APIs using tool and functioncalling techniques.
• Build and managestate, memory, and context handling to support multistep analytical reasoning.
• Develop and maintainretrievalaugmented generation (RAG) pipelines over enterprise and domainspecific datasets.
• Applyguardrails, evaluation strategies, and observability to ensure AI systems are reliable, explainable, and productionready.
• Partner closely with domain experts to capture and encodetribal knowledge as reusable AI capabilities.
• Contribute to sharedarchitectural patterns and agent frameworks used across teams.

PREFERRED EXPERIENCE:

• Strong software engineering fundamentals, including system design, debugging, and API development.
• Proficiency in Python and experience building backend or datacentric systems.
• Handson experience working with large language models (commercial or opensource).
• Comfort working with structured data, such as SQL databases, dataframes, and analytics outputs.
• Experience with agentic AI frameworks (e.g., LangChain, LangGraph, LlamaIndex).
• Familiarity with vector databases and hybrid retrieval approaches.
• Experience building analyticsheavy or dataintensive products.
• Exposure to LLM evaluation and testing, including quality and regression assessment.
• Understanding of distributed systems, asynchronous workflows, or microservices.
• Experience collaborating with domain experts to translate problem knowledge into software solutions.

ACADEMIC CREDENTIALS:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  

This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

This posting is for an existing vacancy.