Six Figure Work

Sr Scientist, Agentic AI, AWS Governance

Amazon

Company websiteamazon.com (Amazon, opens in new tab)

Base salary $167,100  to $226,100

Employer-published annual base salary, USD. Advertised base range in Seattle, WA

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  • LocationSeattle, WA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

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

Source: Amazon · View original posting (opens in new tab)

Pay in context

This role's base floor ($167,100) is above 60% of the 46 Science & Research roles in Washington listed on this site. Their median floor is $156,998; the middle half runs from $133,960 to $174,755.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Amazon roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Amazon roles with the nearest advertised base floor
RolePublished base
Sr Scientist, Agentic AI, AWS Governance (this listing)$167,100 - $226,100
Software Development Engineer, Neuron Collectives, Annapurna Labs$165,200 - $223,600
Software Development Engineer -Control Plane, AWS Scalable Intent Driven Routing (SIDR)$165,200 - $223,600
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference$165,200 - $223,600
Software Dev Engineer II - AMZ27744.1$165,200 - $223,600
Machine Learning Engineer, FAI$165,200 - $223,600
Software Development Engineer, AI/ML, AWS Neuron, Model Inference$165,200 - $223,600

Same $100K to $400K scale as every card. All Amazon roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-23
Where this pay comes from

Location as the employer wrote it: US, WA, Seattle

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

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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