Amazon
Sr Scientist, Agentic AI, AWS Governance
$167K–$226K
Seattle, WA · Senior · Full-time · Posted Oct 23, 2026
- Experience
- PhD, or Master's degree and 6+ years of applied research experience; 5+ years building machine learning models for business applications.
- Education
- PhD, or Master's degree
About the job
Develop applied AI/ML features and services for AWS governance, including customer-tunable compliance models and automated evidence linking.
What you'll do
- Build features and services for fine-tuning Natural Language Inference models, framework decomposition, and evidence auto-linking.
- Advance AI/ML capabilities for continuous compliance, risk analysis, and governance of AI agents.
- Drive executive alignment and technical innovation.
What they ask for
- PhD, or Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- 5+ years of experience building machine learning models for business applications.
Nice to have
- Experience with automation or monitoring frameworks, deployment, or development.
- Experience with generative AI and LLMs, evaluation frameworks, or agentic and multi-turn systems.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, Natural Language Inference (NLI), RLHF, RLAIF, GRPO
AI focus
Develop and fine-tune NLI models and build AI-assisted compliance and governance capabilities, including generative AI, LLMs, and agentic systems.
Model-written summary · the original posting is authoritative