Agentic AI Systems Architecture Fellow

Amd

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TXSanta Clara, CA
Salary
$233,600–$350,400 / yr
Posted
77 days ago
Freshness
Confirmed live today
Closes
Aug 10, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $292k
$151k $372k
below market most similar roles pay here above market

This role pays more than 89% of similar roles. Most pay $183,675–$254,812 — the blue band above. At the midpoint, this role pays about $292k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Agentic AI Systems Architecture Fellow

The Agentic AI Systems Architecture Fellow joins the Software and Solutions Team to define the architectural vision and technical strategy for next-generation Agentic AI systems. This individual contributor role involves building end-to-end reference architectures that optimize heterogeneous execution across AMD CPUs, GPUs, DPUs, networking, and storage. Key responsibilities include developing real-world use cases, proof-of-concepts, and intelligent multi-agent orchestration frameworks for enterprise, cloud, and edge deployments. The Fellow will utilize technologies including ROCm™, AMD Zen Software Studio, AMD Enterprise AI, and frontier foundation models to improve deterministic AI behavior and performance. The role requires deep expertise in agentic AI systems architecture, heterogeneous AI infrastructure, and AI performance engineering, specifically focusing on CPU-centric platform architectures to solve complex problems in task decomposition, workflow scheduling, and data-centric optimization.

What you'll do

  • Define the architectural vision and long-term technical strategy for Agentic AI systems.
  • Architect end-to-end reference architectures optimizing heterogeneous execution across AMD CPUs, GPUs, DPUs, and networking.
  • Develop real-world use cases and early customer proof-of-concepts to demonstrate AMD platform capabilities.
  • Architect intelligent multi-agent systems and orchestration frameworks for task decomposition and workflow scheduling.
  • Develop innovative approaches for data optimization and integration of frontier foundation models with retrieval systems.
  • Drive architectural innovations to improve deterministic AI behavior, reliability, and data governance.
  • Influence AMD’s future silicon and software roadmaps by collaborating with silicon architecture and software engineering teams.
  • Represent AMD as a technical authority through customer engagements, industry conferences, and technical publications.

What we're looking for

  • Recognized industry expert in Agentic AI systems architecture, heterogeneous AI infrastructure, and AI performance engineering.
  • Deep expertise in CPU-based platform architectures is highly encouraged.
  • Experience with agentic AI benchmarks including agent orchestration, planning, routing, and verification.
  • Experience designing large-scale AI infrastructure or distributed AI systems across CPUs, GPUs, DPUs, networking, and storage (preferred).
  • Understanding of modern AI software ecosystems including ROCm™, AMD Enterprise AI, and frontier foundation models (preferred).
  • Experience architecting Agentic AI systems involving multi-agent collaboration and autonomous reasoning (preferred).
  • Strong knowledge in AI performance engineering regarding latency, throughput, and token efficiency (preferred).
  • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, AI, Data Science, or a related technical discipline (preferred).

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