Agentic AI Systems Architecture Fellow
Core
Define architectural vision and technical strategy for next-generation Agentic AI systems, developing reference architectures and proof-of-concepts leveraging AMD's heterogeneous computing portfolio (CPUs, GPUs, DPUs).
Role type
Senior IC Agentic AI Systems Architect
Builds
Reference architectures, proof-of-concepts, and production-ready AI solutions for enterprise, cloud, and edge deployments.
Domain
AI Infrastructure / Heterogeneous Computing
Deliverable
production ML models
Required skills
Agentic AI systems architecture, heterogeneous AI infrastructure, AI performance engineering, CPU-based platform expertise, distributed systems, intelligent data architectures, operating systems, cloud/Neo Cloud, networking, security
Preferred skills
Large-scale AI infrastructure design, modern AI software ecosystems (ROCm, AMD Enterprise AI, Zen Software Studio, LLM inference, RAG, orchestration frameworks), multi-agent collaboration, data optimization, trusted/secure AI practices, technical leadership (patents/publications)
Technologies
ROCm, AMD Zen Software Studio, AMD Enterprise AI, sglang, lmcache, RAG, frontier foundation models
Responsibilities
Define AMD's architectural vision and long-term technical strategy for Agentic AI; Architect end-to-end reference architectures optimizing heterogeneous execution across CPUs, GPUs, DPUs, networking, memory, and storage; Demonstrate advantages of EPYC-based platforms for agentic workloads; Partner with Silicon architecture to define next-gen features; Architect intelligent multi-agent systems and orchestration frameworks; Develop approaches for data optimization and integration of frontier foundation models; Drive architectural innovations for deterministic AI behavior and reliability; Collaborate with engineering teams to influence silicon and software roadmaps; Represent AMD as a technical authority through customer engagements and publications.
Seniority
Senior, hands-on IC
