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# Agentic AI Systems Architecture Fellow

- **Company:** Advanced Micro Devices, Inc.
- **Location:** Santa Clara, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Automated Storage and Retrieval Systems, Cloud Computing, Computer Engineering, Data Governance, Microprocessors, Distributed Systems, Data Intelligence, Open Source Technology, Performance Tuning, Software Engineering, Systems Architecture, AI Infrastructure, Graphics Processing Unit (GPU), Enterprise Software Applications, Large Language Models, Multi-Agent Systems, AI Platforms, Kubernetes, Information Technology, Low Latency, Deployment Automation, Machine Learning Operations, Virtual Agents
- **Published:** August 15, 2026
- **Apply:** https://www.dice.com/job-detail/61a00041-7c3e-4ba0-86bd-0514da78030e

## About the Role

Top skills we're looking for: Agentic AI systems architecture, heterogeneous AI infrastructure, and AI performance engineering - including strong CPU-based platform experience (GPU-only backgrounds are welcome too, but candidates should not self-select out for lacking GPU-specific depth).

 * Experience designing large-scale AI infrastructure, distributed AI systems, or enterprise AI architectures across heterogeneous computing platforms - CPUs, GPUs, DPUs, networking, and storage.
 * Understanding of modern AI software ecosystems, including 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.

## Description

A recognized industry expert with deep expertise spanning Agentic AI systems architecture, heterogeneous AI infrastructure, and AI performance engineering - the three defining pillars of this role. AMD is especially interested in architects with strong CPU-based platform backgrounds: this role is not GPU-only, and candidates who bring deep CPU systems expertise alongside AI fluency are highly encouraged to apply. You don't need to be an expert in every domain - heterogeneous computing, distributed systems, intelligent data architectures, operating systems, cloud/Neo Cloud, networking, and security are all valuable, but your strongest platform (CPU or GPU) combined with AI systems depth is what matters most.

The ideal candidate understands how frontier foundation models, agentic reasoning systems, orchestration frameworks, and heterogeneous compute resources interact to deliver scalable, deterministic, and production-ready AI systems, and thrives shaping long-term strategy while staying hands-on in architectural innovation and performance engineering., * 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 sound data governance and security practices (including data provenance and trusted execution) as part of a holistic, production-ready architecture.
 * Collaborate with silicon architecture, software engineering, and AI framework teams to influence AMD's 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., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.


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