Amazon
Sr. Cloud Technical Account Manager, ES - NAMER - US-Frontier AI
$177K–$239K
New York, NY · Manager · Full-time · Posted Oct 15, 2026
- Experience
- 5+ years in distributed applications and technical engineering; also lists 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, or mathematics, or equivalent; alternatively, 4+ years of technical work experience.
About the job
Provides strategic technical guidance to enterprise customers building, operating, and optimizing AWS AI/ML and HPC infrastructure, especially distributed model training and inference.
What you'll do
- Lead technical reviews and optimize performance for distributed AI/ML workloads, including GPU and Trainium clusters.
- Guide customers in designing and validating production training and inference architectures, advising on reliability, cost, operations, and security.
- Coordinate with AWS engineering and service teams to resolve issues, improve customer outcomes, and advise stakeholders on AI/ML infrastructure.
What they ask for
- 5+ years of design, implementation, operations, or consulting experience with distributed applications.
- 5+ years of technical engineering experience; the posting also lists 7+ years of technical engineering experience.
- Bachelor's degree in computer science, engineering, or mathematics, or equivalent; alternatively, 4+ years of technical work experience.
Nice to have
- Experience in 24x7 operational services or support, or as a technical lead in an internal enterprise or customer-facing environment.
- 5+ years of AI/ML, distributed computing, or GPU-accelerated infrastructure experience; familiarity with HyperPod, HPC schedulers, parallel file systems, or AWS HPC services.
Pay
176,600.00 - 239,000.00 USD annually (base salary); 176,600.00 - 239,000.00 USD annually (base salary)
Tools
AWS Parallel Computing Service (PCS), AWS ParallelCluster, P6/P6e, Trn3, NCCL, EFA, PyTorch FSDP, SageMaker HyperPod
AI focus
Supports frontier AI/ML customers with distributed model training and inference, GPU/Trainium infrastructure, LLMs, MLOps, and HPC-to-AI solutions.
Model-written summary · the original posting is authoritative