Cloud AI Solutions Architect and Strategist
2 weeks ago
Description
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including public sector. This role is part of the core worldwide GenAI Training and Inference team, defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals.
You will work directly with the most important customers (across segments) in the GenAI model training and inference space, helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, model performance evaluations, develop demos and proof-of-concepts, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts.
Key Job Responsibilities
You will help develop industry-leading cloud-based solutions to grow the GenAI business. Working closely with engineering teams, you will enable new capabilities for customers to develop and deploy GenAI workloads on AWS. You will facilitate the enablement of the AWS technical community, solution architects, and sales with specific customer-centric value propositions and demos about end-to-end GenAI on AWS cloud.
About the Team
The Foundation Models team is highly specialized in computational workloads, performance evaluations, and optimization. We work with foundation model builders and large-scale training customers, dive deep into the ML stack, including hardware (GPUs, Custom Silicon), operating systems (kernel, communication libraries (NCCL, MPI)), frameworks (PyTorch, NeMO, Jax), and models (Llama, Nemotron...).
Basic Qualifications
- Bachelor's degree in computer science, engineering, mathematics, or equivalent
- Experience developing technology solutions and evangelizing 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
Preferred Qualifications
- 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)
Estimated Salary: £120,000 - £150,000 per annum
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