Senior AI/ML Cloud TAM — Frontier GPU HPC

Amazon Inc.; New York (NY); Vor Ort; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

AWS Applied AI Solutions (AAIS) is shaping a future where businesses innovate with Amazon AI teammates. We seek a Sr.

TAM to lead strategic technical engagements, guide customers through AI/ML training and inference challenges, and partner with engineering teams to ensure cloud environments are optimized for scale and resilience. You will collaborate with customers to design, build, and operate AWS AI/ML workloads, including GPU clusters, high-performance storage, and advanced tooling.

Aufgaben

• 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 - Supporting customers who 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 through proactive monitoring automated failure recovery (HyperPod health checks) and capacity planning (EC2 Capacity Blocks for ML). Contribute to product roadmap PFR share reference architecture performance and benchmarks with broader Technical communities Serve as Trusted Advisor and Advocate - Develop and nurture technical partnerships with enterprise stakeholders serving as the trusted advisor for AI/ML infrastructure decisions spanning compute networking (Elastic Fabric Adapter with SRD) storage orchestration and the HPC-to-AI convergence journey.

Jobbeschreibung

AWS Applied AI Solutions (AAIS) is shaping a future where businesses innovate with Amazon AI teammates. We seek a Sr.

TAM to lead strategic technical engagements, guide customers through AI/ML training and inference challenges, and partner with engineering teams to ensure cloud environments are optimized for scale and resilience. You will collaborate with customers to design, build, and operate AWS AI/ML workloads, including GPU clusters, high-performance storage, and advanced tooling.