Senior Applied Scientist, Agentic WorkSpaces AI

As part of the Agentic WorkSpaces organization we empower millions of professional usersspanning enterprises research institutions and government agenciesthrough AWS WorkSpaces a cloud-based desktop and application management platform. Our mission is to redefine productivity for users navigating complex legacy application environments by deploying agentic AI solutions that bridge the gap between generative AI and real-world enterprise workflows.

We combine Amazons deep operational expertise with a relentless focus on innovation to deliver AI experiences that are intuitive scalable and transformative. Where legacy systems pose unique challenges we become the trusted partner for customers seeking to automate optimize and future-proof their workflows.

The Senior Applied Scientist will lead the development of LLM-driven agentic systems tailored to AWS WorkSpaces environments. This role demands pioneering scientific approaches to solve unresolved problems at scale balancing rapid iteration with rigorous evaluation. Success hinges on your ability to design implement and validate AI solutions that empower users to work smarter in legacy-heavy ecosystems.

Key job responsibilities
* Architect agentic AI systems that leverage LLMs computer vision and computer-use techniques to interact with legacy applications within AWS WorkSpaces.
* Build evaluation frameworks to quantify agent performance reliability and user impact in real-world unstructured environments.
* Fine-tune and deploy domain-specific LLMs for workspace use cases ensuring efficiency safety and alignment with enterprise requirements.
* Collaborate cross-functionally with peer teams (e.g. troubleshooting onboarding security) to embed AI capabilities across the WorkSpaces product suitefrom strategic visioning to hands-on implementation.
* Drive operational excellence by delivering high-quality production-ready science components that meet Amazons standards for robustness reproducibility and scalability.

About the team
Agentic WorkSpaces AI is the core science team within the Agentic WorkSpaces organization dedicated to building LLM-driven agentic solutions that empower AWS WorkSpaces usersparticularly in legacy application environments where modern AI struggles. We design develop and deploy intelligent agents leveraging LLMs computer vision and computer use to automate complex workflows. Collaborating closely with peer teams across troubleshooting onboarding and other critical areas we integrate AI capabilities that enhance the entire WorkSpaces experience. Our work balances rapid innovation with rigorous evaluation and ethical alignment delivering scalable enterprise-ready solutions for millions of users worldwide.

- 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 working with cross-functional teams across business development marketing operations product development legal etc.
- Expertise in computer vision or computer-use automation (e.g. UI interaction screen understanding) to tackle unique legacy system challenges.
- Experience fine-tuning LLMs for domain-specific applications optimizing for efficiency safety and enterprise requirements.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 183800.00 - 248700.00 USD annually
USA WA Seattle - 167100.00 - 226100.00 USD annually