Principal Technical Account Manager, ES - NAMER - US-Frontier AI

What you'll do

• Lead technical engagements and performance optimization for distributed AI/ML workloads on GPU and Trainium clusters.
• Guide customers in designing and validating production-grade training, inference, storage, scheduling, and MLOps solutions.
• Coordinate with AWS engineers and service teams to resolve issues, improve reliability and capacity, and advise customer leaders.

What they ask for

• Bachelor's degree; the posting also accepts a Bachelor's Degree in Computer Science, Math, or related discipline or 7+ years of related work experience.
• 7+ years of design/implementation/operations/consulting with distributed applications experience.
• 7+ years of technical engineering experience.

Nice to have

• 4+ years of experience in AI/ML, distributed computing, or GPU-accelerated infrastructure.
• Experience in a 24x7 operational services or support environment, or as a technical lead in an internal enterprise or external customer-facing environment.

Pay

210,200.00 - 284,300.00 USD annually (base salary)

Tools

AWS Parallel Computing Service (PCS), AWS ParallelCluster, PyTorch FSDP, DeepSpeed, SageMaker HyperPod, Amazon FSx for Lustre, AWS Step Functions, AWS Batch

AI focus

Supports frontier AI/ML customers with distributed model training and inference, GPU/Trainium infrastructure, HPC-to-AI solutions, and production AI/ML workloads.