Senior Edge AI & GPU Infrastructure Architect

Amazon Web Services (AWS)

Austin (TX)

On-site

USD 154,000 - 208,000

Full time

3 days ago

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Job summary

Amazon Web Services, Inc. seeks a Senior Solutions Architect for the Worldwide Public Sector ISV Partner Solutions Architecture team.

You will lead GPU-accelerated AI infrastructure design, edge AI deployments, and open weight model support across cloud and disconnected edge environments, including sovereignty contexts. You will collaborate with NVIDIA and ISV partners to optimize models, deploy AI workloads, and guide architecture decisions that deliver mission value while navigating IL4/5/6

Qualifications

3+ years of design, implementation, or consulting in applications and infrastructures.
Experience deploying LLMs on GPUs, Neuron, TPU or other AI acceleration hardware; familiarity with PyTorch, JIT, and AOT tracing.

Responsibilities

Own the technical relationship with accelerated computing and edge AI partners adopting AWS.
Design GPU-accelerated AI infra on AWS with multi-node training clusters.
Guide partners in deploying open weight foundation models across AWS environments.
Architect edge and disconnected compute solutions for DDIL environments.
Lead sovereign AI and air-gapped deployments for IL4/5/6/SCIF contexts.
Drive model optimization and right-sizing: quantization, distillation, pruning, LoRA/QLoRA.
Conduct architecture reviews, Well-Architected assessments, and PoCs with partners.
Develop reusable technical content: reference architectures, guides, benchmarks.