Principal Applied Scientist, AI Agent WorkSpaces

Amazon Web Services (AWS); Seattle (WA); On-site; USD 199,000 - 269,000; Full time

Job summary

Amazon Web Services, Inc. in Seattle seeks a Principal Applied Scientist to own the scientific vision across Agentic WorkSpaces, spanning Personal, Applications, and Core surfaces.

You will define how we measure, improve, and guarantee performance of AI agents and human-AI teams. Lead a multi-year research roadmap, mentor senior scientists, and shape partnerships across teams to deliver measurable impact for enterprise workflows.

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 — for computer-using agents and human-AI teams alike.
• Identify the unsolved scientific problems, chart a multi-year research roadmap, and secure buy-in from VP-level leadership.
• 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 the benchmarks, datasets, and metrics that quantify agent and team accuracy, cost, productivity, and safety across the portfolio and diverse enterprise workflows, and that gate what we ship.
• 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, and ensure scientific decisions compose into a coherent system.
• 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 the trust that lets enterprises scale agent workflows.
• Raise the scientific bar: Establish rigor in experimentation, evaluation, and reproducibility. Mentor and grow senior scientists and engineers. Set the standard for applied science quality across the organization.
• Advance the state of the art: Contribute to the external technical community through publications, patents, and open-source contributions that position AWS as the leader in the science of secure agent-computer interaction and human-AI teamwork.

Education

PhD in Computer Science, Machine Learning, or a related field, or a Master's with equivalent applied research experience

Job description

Amazon Web Services, Inc. in Seattle seeks a Principal Applied Scientist to own the scientific vision across Agentic WorkSpaces, spanning Personal, Applications, and Core surfaces.

You will define how we measure, improve, and guarantee performance of AI agents and human-AI teams. Lead a multi-year research roadmap, mentor senior scientists, and shape partnerships across teams to deliver measurable impact for enterprise workflows.