Sr Mgr, Applied Science, AWS Supply Chain

The AWS Supply Chain organization is looking for a Sr. Manager of Applied Science to lead science and data teams working on innovative AI-powered supply chain solutions. As part of the AWS Solutions organization we have a vision to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons real-world experience to build opinionated turnkey solutions. Where customers prefer to buy over build we become their trusted partner with solutions that are no-brainers to buy and easy to use.

Are you excited about developing state-of-the-art GenAI/Agentic AI based solutions for enterprise applications As a Sr. Manager of Applied Scientist at AWS Supply Chain you will bring AI advancements to customer facing enterprise this role you will drive the technical vision and strategy for your team while fostering a culture of innovation and scientific excellence. You will be leading a fast-paced cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems distill real requirements and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box pragmatic addition to coming up with novel solutions and prototypes you may even need to deliver these to production in customer facing products.

Key job responsibilities
Building and mentoring teams of Applied Scientists ML Engineers and Data Scientists.

Setting technical direction and research strategy aligned with business goals.

Driving innovation in Supply Chains systems using AI/ML models and AI Agents.

Collaborating with cross-functional teams to translate research into production.

Managing project portfolios and resource allocation.

PhD in Computer Science Machine Learning or related field
7 years in applied research with 3 years of people management experience
Track record of leading successful research projects and delivering business impact
Strong publication record in top-tier conferences/journals (CVPR NeurIPS ICML etc.)
Experience managing technical teams in computer vision ML or AI
Demonstrated ability to translate complex technical concepts to various audiences
Experience with research program management and setting technical strategy

Experience in designing and implementing Supply Chain systems
Demonstrated experience in AI agent architecture design including decision-making frameworks and behavioral modeling
Experience implementing reinforcement learning for autonomous agent behavior
Experience in professional software development

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 $196900/year in our lowest geographic market up to $340300/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.