Senior Solutions Architect: AI Edge & GPU Compute Leader

Amazon Web Services (AWS)

Dallas (TX)

On-site

USD 154,000 - 208,000

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 act as a technical thought leader, designing GPU-accelerated AI infrastructure and deploying open foundation models across cloud core, edge, and air-gapped environments with DoD/IC stakeholders. The role involves guiding partners with NVIDIA and ISV ecosystems, optimizing models, and ensuring secure, compliant deployments on AWS services.

Qualifications

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

Responsibilities

Design and architect GPU-accelerated AI infrastructure on AWS, including multi-node training clusters with EFA networking, high-performance storage, and container orchestration for large-scale model training and inference.
Guide partners in deploying open weight foundation models across AWS environments, leveraging NVIDIA NIM microservices, Triton Inference Server, TensorRT-LLM, and vLLM for optimized inference.
Architect edge and disconnected compute solutions for DDIL environments, enabling AI inference on NVIDIA Jetson, IGX, and embedded GPU platforms integrated with AWS hybrid services (Outposts, ECS Anywhere).
Lead sovereign AI and air-gapped deployment architecture for IL4/IL5/IL6/SCIF environments where partners must run open models entirely on-premise or in isolated AWS regions without reliance on external API endpoints.