Sr Scientist, Agentic AI, AWS Governance

Amazon is hiring a Sr Scientist, Agentic AI, AWS Governance in Seattle, United States. It pays $167k-$226k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include AI agents and fine tuning.
Level classifies it as a senior role.
Level lists 21,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

ai-agentsfine-tuning

Are you passionate about transforming complex technical challenges into elegant, automated solutions that empower customers to leverage innovative technology? Do you thrive on building highly scalable systems that process massive amounts of data and deliver actionable insights through advanced analytics, machine learning, and AI assisted learning?

Our mission: Every action - human or agent is recorded, assessed, and provably governed. Continuously and anywhere. Automatically. At any scale.

We are looking for a strong Applied Scientist for new features and services that will allow our customers to fine-tune Natural Language Inference (NLI) model, framework decomposition, and evidence auto-linking that produce every customer-visible compliance verdict.

About the team
Our team is leading AI/ML research and development in the security and governance space. We use state-of-the-art science and engineering practices to provide continuous compliance and risk analysis, and we move fast to implement solutions and refine them based on customer feedback. Our team is adding additional focus on next-generation capabilities including AI-assisted development workflows, observability/governance for AI agents, and advanced analytics. This role will allow you to drive executive alignment and technical innovation.

Basic qualifications

- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- 5+ years of building machine learning models for business application experience

Preferred qualifications

- Experience in automation or monitoring frameworks, deployment or development
- Demonstrated experience with generative AI and LLMs — fine-tuning, prompting, retrieval, or post-training.
- Experience designing evaluation frameworks for open-ended or subjective tasks where ground truth is expensive or unavailable, including synthetic data generation.
- Experience with agentic and multi-turn systems, including RL-based post-training (RLHF/RLAIF/GRPO or similar), environment simulation, or agent harness evaluation.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

How we rate this

Sr Scientist, Agentic AI, AWS Governance at Amazon rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Scientist, Agentic AI, AWS Governance is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $167k-$226k a year.
The role is based in US, WA, Seattle.
The job was posted on October 23, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsFine-tuning

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: AI agents and Fine-tuning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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