Cloud Solutions Architect

1 month ago

London, Greater London, United Kingdom Amazon Full time
Principal GenAI Solutions Architect

Amazon is seeking a highly skilled Principal GenAI Solutions Architect to join our team. As a key member of our GenAI Training and Inference team, you will be responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our GenAI services and solutions across industry verticals.

Key Responsibilities:

  • Develop industry-leading cloud-based solutions to grow the GenAI business
  • Collaborate with engineering teams to enable new capabilities for customers to develop and deploy GenAI workloads on AWS
  • Facilitate the enablement of AWS technical community, solution architects, and sales with specific customer-centric value propositions and demos about end-to-end GenAI on AWS cloud
  • Drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and help them define and implement scalable GenAI solutions to solve them
  • 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 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, operating systems, communication libraries, frameworks, and models.

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)

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