Sr Agentic AI Solutions Engineer

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.

AMD's Software and Solutions Team is seeking a Senior Agentic AI Solutions Engineer to design, build, and deliver next‑generation Agentic AI solutions built on AMD's heterogeneous computing portfolio. Working under the technical direction of AMD's Agentic AI Systems Architecture team, this role drives the hands‑on development, integration, and performance optimization of end‑to‑end AI workflows that leverage AMD CPUs, GPUs, DPUs, networking, and software platforms to deliver secure, scalable, deterministic, and high‑performance AI solutions for AMD's most strategic customers.

Working across AMD's AI software ecosystem—including AMD + AMD (A+A) and AMD + NVIDIA (A+N) environments—and leveraging ROCm, AMD Zen Software Studio, AMD Enterprise AI, and AMD's open‑source software initiatives, this engineer will translate architectural vision into working customer solutions, reference implementations, and early customer proof‑of‑concepts across enterprise, cloud, sovereign AI, and edge deployments. Delivered solutions will focus on execution, performance, efficiency, data integrity, and security, including governance, compliance, and AI sovereignty, while providing implementation feedback that helps shape AMD silicon and software roadmaps.

This is a deeply hands‑on, customer‑facing senior individual contributor role focused on solution delivery, technical implementation, and performance engineering. It is not a people management, program management, or alliance management position.

A deep hands‑on engineer with strong expertise spanning AI infrastructure, virtualization systems, distributed systems, heterogeneous computing, intelligent data architectures, operating systems, cloud and Neo Cloud environments, networking, security architecture (including secure computing and cryptography), and large‑scale AI platform design, complemented by broad experience across modern AI software stacks, enterprise solutions, and software engineering methodologies. This individual has a demonstrated history of delivering complex customer solutions and shipping working systems that span hardware, software, networking, security, and AI frameworks.

The ideal candidate understands how frontier foundation models, agentic reasoning systems, orchestration frameworks, intelligent data structures, and heterogeneous compute resources interact to deliver scalable, deterministic, trustworthy, and production‑ready AI systems. They thrive in customer‑embedded environments where they can turn architectural vision into working code, benchmarks, and customer proof‑points leading through technical excellence, deep coding ability, and solution delivery alongside the Fellow‑level architect.

• Deliver on AMD's Agentic AI technical strategy across enterprise, cloud, sovereign AI, edge, and emerging AI deployment environments, translating architectural vision into working customer solutions, reference implementations, and PoCs.
• Build and optimize end‑to‑end reference solutions that maximize heterogeneous execution across AMD CPUs, GPUs, DPUs, networking, memory, storage, and future accelerator technologies—supporting both AMD + AMD (A+A) and AMD + NVIDIA (A+N) deployment models.
• Deliver intelligent multi‑agent systems and orchestration frameworks that optimize execution across heterogeneous compute resources while balancing performance, latency, throughput,…