Senior AI Cloud TAM — Frontier GPU & HPC Leader

Amazon Web Services (AWS); San Francisco (CA); On-site; USD 177,000 - 239,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

AWS Frontier AI TAM team seeks an experienced technical leader to drive strategic AI/ML engagements, architecture, and optimization for enterprise workloads. You will guide multi-node GPU clusters, distributed training, and production-grade inference using AWS services.

You will partner with customers to design robust HPC-infused AI/ML solutions, ensuring performance, reliability, and cost governance at scale. Travel 10% or more as needed.

Qualifications

• Bachelor's degree in CS, engineering, math or equivalent.
• 5+ years in design/implementation/ops of distributed apps.
• 5+ years of technical engineering experience.

Responsibilities

• Lead strategic technical engagements for enterprise AI/ML workloads.
• Architect and validate production-grade AI/ML training/inference solutions.
• Support customers in HPC capabilities and MLOps pipelines.
• Act as trusted advisor for compute, networking, and storage decisions.

Skills

AI/ML

Distributed systems

Solution design

Leadership

Education

Bachelor's degree in CS/Engineering

Tools

SageMaker HyperPod

Slurm

NCCL

PCS/ParallelCluster

Job description

AWS Frontier AI TAM team seeks an experienced technical leader to drive strategic AI/ML engagements, architecture, and optimization for enterprise workloads. You will guide multi-node GPU clusters, distributed training, and production-grade inference using AWS services.

You will partner with customers to design robust HPC-infused AI/ML solutions, ensuring performance, reliability, and cost governance at scale. Travel 10% or more as needed.