Senior Applied Scientist, Generative AI Innovation Center

Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply Generative AI 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 scientists engineers architects and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The GenAI Innovation Center helps AWS customers develop and scale generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses define paths to navigate technical or business challenges develop models to power real world applications 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.

Were looking for Applied Scientists capable of using GenAI and other techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems.


Key job responsibilities
As an Applied Scientist you will
Collaborate with AI/ML scientists and architects to research design develop and evaluate 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
Help customers build their solutions through approaches such as prompt engineering model selection agentic framework training or fine-tuning
Provide customer and market feedback to product and engineering teams to help define product direction


About the team
ABOUT AWS:

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AWS Global Services
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- 5 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- Experience in building machine learning models for business application

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.