[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Amazon · Santa Clara, CA # Applied Scientist, AWS Agentic AI US, CA, Santa Clara Research & Science Listed on Amazon’s official careers site. Posted October 29, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10592683/applied-scientist-aws-agentic-ai) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, AWS Agentic AI ## Job description Most AI assistants today start every conversation from scratch, forgetting what they learned yesterday about developer's codebase, patterns, and the way they like to work. Amazon Web Services (AWS) is assembling an elite team of scientists and engineers to change that, and we are hiring an Applied Scientist to build the systems that let our AI development tools accumulate knowledge over time and get genuinely better the more you use them. You will help create generative AI technologies, including Kiro IDE and CLI, that are transforming how software gets built. You will take on some of the hardest open problems in machine learning: how a model keeps learning without forgetting what it already knew, how to store and retrieve the right memory at the right moment, and how to personalize the experience for each developer and team without starting over every time. Your work will reach millions of developers rather than sit in a paper, and you will own a research direction end to end rather than share a sliver of attention across many priorities. ### Key job responsibilities - Push the boundaries of continual and lifelong learning for large language models specialized in code intelligence - Design memory-augmented architectures and retrieval mechanisms that let the assistant consolidate, recall, and personalize knowledge over time - Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale - Deploy products that directly impact the daily workflows of millions of developers worldwide - Publish and present your work at premier ML and NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP) - Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems About the team Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. ### Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. ### Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. ### Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. ### Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. ## At a glance - Posted by the employer: Oct 29, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 1, 2026 - Listed for: 3 days - Location: US, CA, Santa Clara[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10592683/applied-scientist-aws-agentic-ai) ## Hiring at Amazon - Open jobs: 19,174 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Amazon ### [Applied Scientist II, AWS Quick](https://jobs.opennash.com/companies/amazon/jobs/5879fae83d0f3527f489/) US, CA, Santa Clara ### [Applied Scientist III, AWS Account Management and Governance](https://jobs.opennash.com/companies/amazon/jobs/2ec7f40f6b273b3c8189/) US, CA, Santa Clara ### [Executive Research Recruiter, Principal Engineer Recruiting Team](https://jobs.opennash.com/companies/amazon/jobs/cc946b1cfb6c75ac0cff/) US, CA, Santa Clara ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Sr Applied Data Scientist - Search and Browse (applied ML, LLMs, ML Ops)](https://jobs.opennash.com/companies/target/jobs/0923ac6213001fd36d99/) Target · Canada ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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