# Applied Scientist, AWS Agentic AI at Amazon

Amazon is hiring an Applied Scientist, AWS Agentic AI in Santa Clara, United States. It pays $172k-$222k a year and Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/548c0f6d-eeab-4f68-ae0d-d22ff0fe2884?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. US, CA, Santa Clara.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 85 out of 100)
- Location: US, CA, Santa Clara
- Salary: $172k-$222k
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/548c0f6d-eeab-4f68-ae0d-d22ff0fe2884?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=applied-scientist-aws-agentic-ai-at-amazon-9bcc84

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/applied-scientist-aws-agentic-ai-at-amazon-9bcc84

## Description

The best coding assistants have to do two hard things together: understand code as the structured, interconnected system it really is, and keep learning from every interaction so they get better over time. Most AI tools today do neither well. They flatten code into tokens and lose the structure that makes software navigable, and they start each session from scratch, forgetting what they learned yesterday about a developer's codebase, patterns, and way of working. Amazon Web Services (AWS) is assembling an elite team of scientists and engineers to change both at once, and we are hiring an Applied Scientist who will work across code understanding and continual learning as a single, connected problem. You will help create generative AI technologies, including Kiro IDE and CLI, that are transforming how software gets built. In this role you will turn the many signals around code, from static analysis and symbol graphs to build systems and language servers, into a unified representation our models can reason over, and you will make that system learn over time, so it accumulates knowledge without forgetting what it already knew, retrieves the right memory at the right moment, and personalizes the experience for each developer and team. These are not two separate jobs. A system that understands code deeply is also the one best positioned to remember and personalize how it helps, and you will own that intersection end to end. Your work will reach millions of developers rather than sit in a paper. Key job responsibilities - Build representations of code that fuse static analysis, symbol and call graphs, type information, and build system context, and that models can use at repository scale - Make those systems learn over time through memory-augmented architectures, retrieval mechanisms, and personalization that consolidate and recall knowledge across sessions - 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, NLP, and software engineering conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, ICSE, FSE) - 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. Basic qualifications - 3+ years of building models for

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