# 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/c977c1b0-ace1-44a3-94c1-dfeccded19b9?utm_medium=ai-agent).

AI Level 4, AI centrality 89 out of 100. US, CA, Santa Clara.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 89 out of 100)
- Location: US, CA, Santa Clara
- Salary: $172k-$222k
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/c977c1b0-ace1-44a3-94c1-dfeccded19b9?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=applied-scientist-aws-agentic-ai-at-amazon-3e930d

## 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-3e930d

## 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. Basic qualifications - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is an

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