# Principal AI/ML HPC Specialist Technical Account Manager (STAM) , AWS Enterprise Support, NAMER-Sp at Amazon

Amazon is hiring a Principal AI/ML HPC Specialist Technical Account Manager (STAM) , AWS Enterprise Support, NAMER-Sp for a remote role open to applicants in United States. It pays $183k-$247k a year and Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/04f8d9f0-ade9-43d5-81ae-fe2c99f052b2?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Remote (US, WA, Seattle).

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Remote (US, WA, Seattle)
- Salary: $183k-$247k
- Posted: July 27, 2026
- Apply: https://jobsbylevel.com/go/04f8d9f0-ade9-43d5-81ae-fe2c99f052b2?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-ai-ml-hpc-specialist-technical-account-manager-stam-aws-enterprise-support-namer-sp-at-amazon-4a8d97

## Prepare for this job

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## Description

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset. Are you ready to transform how businesses leverage artificial intelligence and machine learning at scale? Join our team and become a strategic partner in delivering Amazon AI/ML solutions that empower global enterprises to innovate, optimize, and achieve unprecedented operational excellence. Amazon Web Services (AWS) is seeking an experienced Principal AI/ML HPC Specialist to join our Technical Account Manager (TAM) team. You'll be at the forefront of solving complex AI HPC implementation challenges, guiding NAMER Research labs to enterprise customers through their most ambitious machine learning transformation journeys. By combining deep technical expertise with collaborative problem-solving, you'll help organizations unlock the full potential of artificial intelligence and machine learning technologies - from distributed model training on GPU clusters to production-grade inference at scale. AWS Support includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and AI/ML-native solutions. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Key job responsibilities • : • Deliver Strategic Technical Engagements - Lead comprehensive technical deep-dives and performance optimization for enterprise AI/ML workloads, including distributed training cluster architecture using AWS Parallel Computing Service (PCS) and AWS ParallelCluster, the latest GPU-accelerated computing (i.e., P6/P6e, G7/G7e instances), AWS Trainium-based training (Trn3 UltraServers), and multi-node NCCL communication tuning over EFA's SRD protocol. • Architect and Validate Innovative Solutions - Design and implement production-grade AI/ML training and inference solutions leveraging Slurm-based job scheduling, distributed training frameworks (PyTorch FSDP, DDP, DeepSpeed, Megatron-LM), SageMaker HyperPod for managed GPU clusters with automated health checks and node replacement, high-performance parallel storage (Amazon FSx for Lustre), and container runtimes on Deep Learning AMIs (DLAMIs) against reference architectures and HPC lens to ensure performance, reliability, and cost governance at scale. Architect solutions using P6e UltraServers for multi-trillion parameter frontier models and Trn3 with the AWS Neuron SDK for cost-optimized training and inference. • Enable Customer Success - Support customers in implementing business-critical HPC capabilities, including the development of large language model (LLM) (Llama, GPT-class models), physics-informed neural networks (PINNs) and surrogate models, MLOps pipelines, simulation-ML hybrid architectures orchestrated by AWS Step Functions and AWS Batch, distributed data processing, cluster observability, and governance controls for GPU/Trainium-intensive workloads. • Enable Business Critical Outcomes - Partner with service teams to enhance model training throughput, optimize NCCL collective communications, improve GPU/Trainium utilization across multi-node UltraClusters, and drive operational efficiency

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principal-ai-ml-hpc-specialist-technical-account-manager-stam-aws-enterprise-support-namer-sp-at-amazon-4a8d97

Source: https://jobsbylevel.com/jobs/principal-ai-ml-hpc-specialist-technical-account-manager-stam-aws-enterprise-support-namer-sp-at-amazon-4a8d97

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Level. https://jobsbylevel.com/jobs/principal-ai-ml-hpc-specialist-technical-account-manager-stam-aws-enterprise-support-namer-sp-at-amazon-4a8d97.

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