Principal AI Agent Scientist, Enterprise WorkSpaces

Amazon Inc.; Seattle (WA); Hybrid; USD 199,000 - 269,000; Full time

Benefits offered by this job

Health insurance

RSUs and equity compensation

Parental leave

Disability accommodations

Job summary

Amazon Web Services, Inc. seeks a Principal Applied Scientist to own the scientific vision across Agentic WorkSpaces. You will define how to measure, improve, and guarantee performance of AI agents and human-AI teams, setting the science agenda and charting a multi-year roadmap.

You will drive cross-team alignment and deliver measurable business impact in enterprise environments. The role advances agent safety, reliability, and scalability, with opportunities to publish, patent, and contribute

Qualifications

• PhD in Computer Science, Machine Learning, or a related field, or a Master's with equivalent applied research experience
• 10+ years of applied science experience, including 8+ years applying ML to real-world products at scale
• Experience setting research direction and technical strategy across multiple teams and organizations
• Deep expertise in modern ML, including LLMs / foundation models, evaluation methodology, and experimental design
• Track record of delivering complex, ambiguous research initiatives from concept through production in enterprise environments

Responsibilities

• Set the long-term scientific vision: Define what best-in-class agent performance, evaluation, and learning look like across Agentic WorkSpaces.
• Solve highly ambiguous, novel problems: Independently frame and deliver solutions to foundational challenges in agent perception, reasoning, evaluation, reliability, and human-AI collaboration.
• Own the evaluation and measurement foundation: Build benchmarks, datasets, and metrics that quantify agent and team accuracy, cost, productivity, and safety.
• Drive cross-organizational scientific alignment: Work across partner teams and across the Applied AI Solutions product portfolio to shape how models and agent frameworks are applied.
• Deliver measurable business impact: Ensure research translates to customer outcomes: higher task accuracy, lower cost-per-action, faster time-to-production, measurable productivity for human-AI teams, and trust for enterprise scale.
• Raise the scientific bar: Establish rigor in experimentation, evaluation, and reproducibility. Mentor and grow senior scientists and engineers.

Skills

PhD in CS/ML

Applied science experience

Research direction setting

Deep ML / LLMs / evaluation

Production research delivery

Education

PhD in Computer Science / ML or related field

Master's with equivalent applied research experience

Job description

Amazon Web Services, Inc. seeks a Principal Applied Scientist to own the scientific vision across Agentic WorkSpaces. You will define how to measure, improve, and guarantee performance of AI agents and human-AI teams, setting the science agenda and charting a multi-year roadmap.

You will drive cross-team alignment and deliver measurable business impact in enterprise environments. The role advances agent safety, reliability, and scalability, with opportunities to publish, patent, and contribute