Senior AI Infrastructure & Edge Compute Architect

Amazon Web Services (AWS); Arlington (VA); On-site; USD 154,000 - 208,000; Full time

Job summary

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

The role focuses on accelerated computing, edge AI, and open foundation model ecosystems, with a mandate to lead technical strategy for strategic partners deploying GPU-accelerated AI infrastructure. You will architect end-to-end solutions on AWS, including multi-node GPU training clusters and disconnected edge inference, while guiding model optimization and

Qualifications

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

Responsibilities

• Own the technical relationship with accelerated computing and edge AI partners adopting AWS.
• Design GPU-accelerated AI infrastructure including multi-node training clusters.
• Guide partners in deploying open weight foundation models across AWS environments.
• Architect edge and disconnected compute solutions for DDIL environments.

Skills

Cloud architecture

GPU/accelerated computing

Kubernetes/ECS/EKS

Tools

NVIDIA TensorRT

Jetson/IGX

EFA networking

Job description

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

The role focuses on accelerated computing, edge AI, and open foundation model ecosystems, with a mandate to lead technical strategy for strategic partners deploying GPU-accelerated AI infrastructure. You will architect end-to-end solutions on AWS, including multi-node GPU training clusters and disconnected edge inference, while guiding model optimization and