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Agentic AI Systems Architecture Fellow

AMD· Engineering
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Austin, TX, Santa Clara, CA$233.6kFull-timePosted 2mo ago

About the role

AMD’s Software and Solutions Team seeks an Agentic AI Systems Architecture Fellow to define the architectural vision and technical strategy for next-generation Agentic AI systems built on AMD’s heterogeneous computing portfolio, including CPUs, GPUs, DPUs, networking, and software platforms. The role focuses on architectural innovation, technical strategy, and hands-on performance engineering without people management responsibilities.

Responsibilities

  • Define AMD’s architectural vision and long-term technical strategy for Agentic AI, and bring it to life through real-world use cases, reference implementations, and early customer proof-of-concepts.
  • Architect end-to-end reference architectures optimizing heterogeneous execution across AMD CPUs, GPUs, DPUs, networking, memory, and storage — with particular attention to CPU-centric platform architectures alongside GPU-based approaches — supporting both AMD + AMD (A+A) and AMD + NVIDIA (A+N) deployment models.
  • Experience with agentic AI benchmarks required including agent orchestration, planning, routing and verification
  • Demonstrate advantages of EPYC-based platforms and architecture for agentic workloads vs. other x86 and ARM alternatives
  • Partner with Silicon architecture and engineering to define the next-gen features for a holistic A+A advantage
  • Architect intelligent multi-agent systems and orchestration frameworks, defining optimization strategies for task decomposition, workflow scheduling, reasoning pipelines, and end-to-end performance across heterogeneous compute resources.
  • Develop innovative approaches for data optimization and intelligent data structures, and lead integration of frontier foundation models with retrieval systems, enterprise applications, and edge/sovereign AI deployments.
  • Drive architectural innovations that improve deterministic AI behavior and reliability, incorporating data governance and security practices (including data provenance and trusted execution) as part of a production-ready architecture.
  • Collaborate with silicon architecture, software engineering, and AI framework teams to influence future silicon and software roadmaps, and partner with hyperscalers, OEMs, ISVs, and open-source communities to accelerate adoption of AMD AI platforms.
  • Represent AMD as a recognized technical authority through customer engagements, industry conferences, and technical publications.

Qualifications

  • Top skills in Agentic AI systems architecture, heterogeneous AI infrastructure, and AI performance engineering with strong CPU-based platform experience
  • Experience designing large-scale AI infrastructure, distributed AI systems, or enterprise AI architectures across CPUs, GPUs, DPUs, networking, and storage
  • Understanding of ROCm™, AMD Enterprise AI, AMD Zen Software Studio, frontier foundation models, LLM inference, sglang, lmcache, RAG, and AI orchestration frameworks
  • Experience architecting Agentic AI systems — multi-agent collaboration, orchestration frameworks, autonomous reasoning, and workflow optimization
  • Expertise in data optimization, model deployment and supporting enterprise-scale AI systems
  • Strong knowledge in AI performance engineering — latency, throughput, token efficiency, and heterogeneous resource utilization
  • Familiarity with trusted/secure AI practices (confidential computing, data provenance, governance) is a plus
  • Recognized technical leadership through patents, publications/presentations, or open-source contributions
  • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or a related technical discipline preferred

Skills

Required:Agentic AI systems architectureHeterogeneous AI infrastructureAI performance engineering

Benefits

  • Benefits offered are described: AMD benefits at a glance
Last updated Oct 15, 2026. Interested? Apply on the company site.
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AMD delivers leadership high-performance and adaptive computing solutions to advance data center AI, AI PCs, intelligent edge devices, gaming, & beyond.

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