Amazon GenAI Specialist Solutions Architect Amazon SageMaker Service 

United States, Washington, Seattle 

97276573

Key job responsibilities

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Practical experience in distributed training frameworks and inference servers. Orchestrators/schedulers (one or several of Kubernetes, EKS, Slurm), storage systems (S3, Lustre, POSIX). Experience working with GPUs or custom silicon, profiling and optimization.

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Practical experience in High Performance Computing (HPC) and/or distributed training, performance profiling and optimization.
- Experience in distributed training (PyTorch, Jax, NeMo) and/or inference (NIMS, TRT-LLM, TorchServe, Triton).Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.