Principal AI Compute SA, AGS Namer Tech

We are looking for an AI/ML Specialist Solutions Architect (SA) who is passionate about Machine Learning, deep learning, generative AI, and agentic AI. The ideal candidate will partner with customers to design scalable, secure, and cost‑effective AWS AI/ML solutions that deliver measurable business value.

The candidate will serve as a subject‑matter expert in AI/ML, guiding customers through their AI transformation journey, establishing GenAI‑Ops practices, and building responsible AI pipelines. They will work with AWS service teams, customers, and partners to co‑create technical content, reference architectures, and enablement materials.

• Build and maintain trusted advisor relationships with technical decision‑makers to drive adoption of AWS AI/ML solutions.
• Architect scalable, secure, and cost‑effective AI/ML solutions leveraging the full AWS AI stack, including generative AI and agentic systems.
• Develop reference architectures, workshops, demos, and technical content that showcase integration patterns for LLMs, RAG systems, autonomous agents, and GenAI‑Ops best practices.
• Build and nurture an internal AWS community of AI/ML experts, establishing best practices for emerging technologies.
• Collaborate with cross‑functional AWS teams—business development, professional services, and support—to accelerate customer success from proof‑of‑concept to production deployment.
• Act as a technical liaison between customers and AWS engineering teams, ensuring alignment with the well‑architected framework and AI best practices.

• 10+ years of experience in a technology domain such as software development, cloud computing, systems engineering, or data & analytics.
• Bachelor’s degree in computer science, engineering, mathematics, or equivalent.
• Experience developing technology solutions and evangelizing end‑to‑end technology roadmaps for cloud transformations.
• Strong communication skills across technical and non‑technical audiences, including C‑level interactions.
• 7+ years of experience in AI/ML infrastructure, GPU computing, or custom silicon development.
• Hands‑on experience with GPU optimization, profiling, and performance tuning on NVIDIA GPU families.
• Experience architecting multi‑architecture compute strategies spanning GPU, custom silicon, and CPU for inference and training workloads.
• Experience developing compute roadmaps or capacity‑planning strategies for large‑scale AI infrastructure customers.

• Knowledge of distributed systems design, large‑scale automation, workflow management, or database design.
• Proficiency in presenting, whiteboard discussion, and speaking with executives, IT managers, and developers.
• Experience with AWS custom silicon (Annapurna/Inferentia/Trainium) or comparable custom AI accelerator development.
• Deep familiarity with ML frameworks (PyTorch, Tensor Flow, JAX) and their execution pipelines on custom hardware.
• Knowledge of inference‑optimization techniques such as quantization, batching, token efficiency, and silicon‑model matching.
• Experience advising customers on GPU‑to‑Trainium migration paths and multi‑accelerator architectures.
• Understanding of capacity planning, right‑sizing, and cost optimization for GPU‑heavy workloads.
• Experience partnering with hardware vendors (NVIDIA, AMD) on optimization exercises.
• Competence in using managed AI compute platforms such as Sage Maker Hyper Pod or Bedrock Mantle.

Base salary: $ – $ USD annually (location: USA, CA, San Francisco). Compensation includes sign‑on payments and restricted stock units (RSUs). Additional benefits include medical, dental, vision, prescription coverage, EAP, mental health support, retirement plans, paid time off, and parental leave.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Company:
Amazon Web Services, Inc. Job : A