# 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/87769c99-14a5-42dd-8ad9-2592de37ce8e?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/87769c99-14a5-42dd-8ad9-2592de37ce8e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=applied-scientist-aws-agentic-ai-at-amazon-a5df7c

## 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-a5df7c

## Description

Great code assistants have to understand code the way an experienced engineer does, not as a wall of text but as a living structure of symbols, calls, types, and dependencies that span an entire repository. Most AI tools today flatten all of that into tokens and lose the structure that makes real software navigable. Amazon Web Services (AWS) is assembling an elite team of scientists and engineers to fix that, and we are hiring an Applied Scientist to build the intelligence layer that lets our AI development tools reason about code through its true structure. You will help create generative AI technologies, including Kiro IDE and CLI, that are transforming how software gets built. You will design how we turn the many signals around code, from static analysis and symbol graphs to build systems and language servers, into a single unified representation our models can reason over. This is a build-oriented research role where the questions are still open: how to fuse heterogeneous code signals, how to represent a whole repository so a model can find and use the right context, and how to ground an assistant's reasoning in the structure of real software rather than text alone. Your work will reach millions of developers, and you will own this direction end to end, from framing the approach to shipping it in a product engineers rely on every day. Key job responsibilities - Design a unified representation of code that fuses static analysis, symbol and call graphs, type information, and build system context - Build the methods and models that consume that representation to power code navigation, retrieval, and reasoning at repository scale - 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 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/applied-scientist-aws-agentic-ai-at-amazon-a5df7c

Source: https://jobsbylevel.com/jobs/applied-scientist-aws-agentic-ai-at-amazon-a5df7c

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