Cloud AI Transformation Expert

2 weeks ago


London, Greater London, United Kingdom Amazon Full time

We are seeking an experienced Cloud AI Transformation Expert to join our team at Amazon. As a key member of our Global Services organization, you will be responsible for helping our customers drive business growth and innovation through the adoption of cloud-based AI solutions.

About the Role

This is an exciting opportunity to work with some of the world's most innovative companies and help them unlock the full potential of cloud-based AI. You will work closely with our engineering teams to develop and deploy targeted strategies to accelerate customer adoption of our services and solutions across industry verticals.

You will possess a strong technical background in cloud computing, AI, and machine learning, with a proven track record of driving technology transformations towards cloud computing. Your experience in evangelizing end-to-end technology roadmaps that guide IT transformations towards cloud computing is highly valued.

Key responsibilities include developing and implementing GTM plans for building and scaling GenAI on AWS, interacting with customers directly to understand their business problems, and helping them define and implement scalable GenAI solutions to solve them. You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.

The ideal candidate will have practical experience in distributed training frameworks and inference servers, as well as knowledge of large-scale automation and workflow management. You will be adept at communicating across technical and non-technical audiences and at C-level, including training, workshops, and publications.

A salary range of $175,000 - $250,000 per year is expected, depending on location and experience. This is a remote job opportunity with flexible working hours.

What We're Looking For:

  • 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 towards cloud computing
  • Practical experience in distributed training frameworks and inference servers
  • Knowledge of large-scale automation and workflow management or equivalent
  • Ability to communicate effectively across technical and non-technical audiences


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