Principal GenAI Solutions Architect

3 weeks ago

London, Greater London, United Kingdom ENGINEERINGUK Full time

About the Role

You will be part of the core worldwide GenAI team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals. As a key technical leader, you will help develop the industry's best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS.

Key Responsibilities

Develop and implement scalable GenAI solutions to solve complex business problems for our customers.
Drive the development of the GTM plan for building and scaling GenAI on AWS.
Interact with customers directly to understand their business needs and help them define and implement GenAI solutions.
Work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.

About the Team

The Foundation Models team is highly specialized on computational workloads, performance evaluations, and optimization. We work with Foundation model builders and large-scale training customers, dive deep into the ML stack, and heavily with containers and orchestrators/schedulers.

Requirements

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.
Practical experience in distributed training frameworks and inference servers, orchestrators/schedulers, and storage systems.
Experience working with GPUs or custom silicon, profiling, and optimization.

Preferred Qualifications

Knowledge of distributed systems design and implementation or equivalent.
Knowledge of large-scale automation and workflow management or equivalent.
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.

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