Amazon
Sr. Cloud Technical Account Manager, ES - NAMER - US-Frontier AI
$177K–$239K
San Francisco, CA · Manager · Full-time · Posted Sep 4, 2026
- Experience
- 5+ years in distributed applications design, implementation, operations, or consulting; 5+ years of technical engineering experience; 7+ years of technical engineering experience. Preferred: 5+ years in AI/ML, distributed computing, or GPU-accelerated infrastructure.
- Education
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or 4+ years of technical work experience
About the job
Serves as a strategic technical advisor to enterprise AI/ML customers, helping design, optimize, and operate resilient AWS environments for large-scale model training and inference.
What you'll do
- Lead technical engagements and performance optimization for distributed AI/ML and HPC workloads.
- Guide customers in architecting and validating production training and inference solutions, including compute, storage, scheduling, and operations.
- Partner with AWS engineers and service teams to resolve issues, improve customer outcomes, and advise on technical strategy and risk.
What they ask for
- 5+ years of design/implementation/operations/consulting with distributed applications experience
- 5+ years of technical engineering experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or 4+ years of technical work experience
- 7+ years of technical engineering experience
Nice to have
- Experience in a 24x7 operational services or support environment
- 5+ years of experience in AI/ML, distributed computing, or GPU-accelerated infrastructure
Pay
176,600.00 - 239,000.00 USD annually (base salary)
Tools
AWS Parallel Computing Service (PCS), AWS ParallelCluster, P6/P6e, Trn3 UltraServers, NCCL, EFA, PyTorch FSDP, SageMaker HyperPod
AI focus
Supports frontier AI/ML customers with distributed model training and production inference, including GPU/Trainium clusters, LLMs, MLOps, and HPC-to-AI workloads.
Model-written summary · the original posting is authoritative