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Principal Applied Scientist, Generative AI Innovation Center

Amazon

Company : Amazon

Location : Washington, DC, 20310

Posted Date : 15 October 2025

Job Type : Other

Category : Scientific Research & Development

Occupation : Scientist

Job Details

Principal Applied Scientist

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply leading generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We're looking for a Principal Applied Scientist capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

A day in the life:

  • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate leading generative AI solutions to address real-world challenges
  • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
  • Provide customer and market feedback to product and engineering teams to help define product direction

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