AI & Datacenter Solutions Architect

Advanced Micro Devices, Inc•UNAVAILABLE, South Carolina

2d•Remote

About The Position

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. We are looking for an ambitious, driven AI & Datacenter Solutions Architect with strong technical fundamentals and a proven customer-facing track record to join AMD. This is a frontline, tip-of-the-spear role where you will work closely with strategic datacenter, cloud, and emerging neocloud customers, internal engineering teams, and ecosystem partners to help deploy, optimize, and scale AI and high-performance workloads on AMD CPU and GPU platforms. This is not an entry-level position. We are looking for an experienced engineer who already knows how to earn a customer's confidence — someone with the energy and initiative to drive complex technical engagements from first conversation to production deployment. The role blends hands-on systems work, AI workload enablement, and technical program management. You will act as the technical bridge between field requirements and internal AMD teams, and your success will depend as much on how you build trust as on what you know.

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent practical experience)
Demonstrated success in a customer-facing technical role supporting compute, datacenter, or cloud customers
Strong interest in AI/ML technologies and proven ability to work across hardware and software layers
Hands-on experience with Linux-based systems
Programming experience in one or more of: Python, C/C++, Bash
Familiarity with AI frameworks or tools (e.g., PyTorch, TensorFlow, ONNX, Hugging Face, or similar)
Strong communication skills with the ability to explain technical concepts clearly and persuasively
Ability to work effectively in a team-oriented, cross-functional environment

Nice To Haves

Experience working with GPU computing and/or accelerator-based workloads
Exposure to profiling and performance analysis tools for CPU and GPU workloads
Understanding of computer architecture concepts (CPU pipelines, memory hierarchy, GPU execution models)
Experience setting up or working in a lab environment with servers, networking, and storage
Familiarity with cloud platforms such as AWS, Azure, Google Cloud, or Oracle Cloud — and/or neocloud GPU providers (e.g., CoreWeave, Lambda, Crusoe, Nebius) — including compute instance types and accelerators
Knowledge of containers and orchestration (Docker, Kubernetes)
Prior success in customer-facing or field engineering roles within the datacenter or cloud ecosystem

Responsibilities

Serve as the senior technical point of contact for strategic customers across cloud, on-prem, and neocloud (GPU-specialized cloud) providers, supporting AI and HPC workloads on AMD CPU and GPU platforms
Work directly with customer engineering and leadership contacts to understand their use cases, requirements, and constraints, and guide them through solution design and deployment
Deliver persuasive technical presentations, demos, and architecture walkthroughs to both technical and executive audiences, translating AMD’s differentiation into business value
Program-manage customer opportunities as they grow in complexity, coordinating activities across internal and external stakeholders and keeping momentum through long sales cycles
Perform hands-on system bring-up including hardware installation, firmware configuration, OS installation, and driver setup
Deploy and validate open-source AI and HPC software stacks (e.g., Linux, ROCm, AI frameworks, containers)
Run functionality, performance, and scalability benchmarks on CPU and GPU workloads
Perform profiling and analysis of applications to identify performance bottlenecks and optimization opportunities
Support AI/agentic workloads spanning training, inference, and data preprocessing across CPU and GPU platforms
Apply deep working knowledge of AMD CPU and GPU architectures and how they impact real-world workloads
Reason across full-stack solutions spanning hardware, system software, drivers, frameworks, and applications
Lead solution design for on-premises, cloud, neocloud, and hybrid deployments
Collaborate closely with engineering, product management, marketing, and sales teams to represent customer needs and navigate decisions across organizational boundaries
Provide structured voice-of-the-customer feedback to influence product features, documentation, and roadmap decisions
Contribute to internal knowledge sharing, best practices, and team initiatives, and mentor teammates where your expertise intersects their challenges