Senior AI Edge & GPU Infrastructure Architect

Amazon Web Services (AWS)

New York (NY)

On-site

USD 169,000 - 229,000

Full time

3 days ago

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Job summary

Amazon Web Services, Inc. is seeking a Senior Solutions Architect for the Worldwide Public Sector ISV Partner Solutions Architecture team. You will lead design and deployment of GPU‑accelerated AI infrastructure, on AWS, with a focus on open weight models and edge/air‑gapped environments.

You will collaborate with NVIDIA and ISV partners to deliver end‑to‑end AI compute solutions. You will work on multi‑node GPU clusters, model optimization, and architecture reviews within DoD, IC, and federal

Qualifications

3+ years of design, implementation, or consulting in applications and infrastructures.
8+ years of technology domain experience (e.g., systems engineering, infrastructure, GPU/accelerated computing).
Experience with containerized and distributed architectures (Kubernetes, ECS/EKS).

Responsibilities

Own the technical relationship with accelerated computing and edge AI partners adopting AWS, from initial whiteboard sessions to production at scale.
Guide partners in deploying open weight foundation models across AWS environments using NVIDIA tools and inference servers.
Architect edge and disconnected compute solutions for DDIL environments enabling AI inference on Jetson, IGX, and embedded GPUs.
Lead sovereign AI and air-gapped deployment in IL4/IL5/IL6/SCIF contexts with on‑premise or isolated AWS regions.