Data Science Manager, Model Customization, Generative AI Innovation Center

Amazon launched the Generative AI Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization ( Starting in 2024 the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized 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 and optimize models to power their solutions 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.


The GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC youll partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of scientists deep learning architects and ML engineers to build generative AI models and pipelines and deliver state-of-the-art solutions to customers business and mission problems. Your team will be working with terabytes of text images and other types of data to address real-world problems.

The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical face of AWS within our solution providers ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers.
The ideal candidate will also have a demonstrated ability to think strategically about business product and technical issues. Finally and of critical importance the candidate will be an excellent technical team manager someone who knows how to hire develop and retain high quality technical talent.
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.


About the team
About the team
Diverse Experiences
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- 3 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- Experience directly managing scientists or machine learning engineers
- Quantitative Masters Degree or Quantitative Bachelors Degree

- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- PhD degree in quantitative field

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 $142300/year in our lowest geographic market up to $272400/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.