Senior Principal Scientist, Secure Enterprise AI

Amazon; Seattle (WA); On-site; USD 240,100 - 324,800; Full time

Job summary

Amazon Development Center Seattle is seeking a Senior Principal Scientist for Secure Work Enablement to lead AI research in enterprise-grade collaboration. You will design novel architectures for secure systems and advance human-AI interaction across teams.

The role emphasizes GenAI, large-scale models, and collaboration with academic partners to mentor in-house talent. Strong publication history preferred.

Qualifications

• Graduate degree in Computer Science, Mathematics, or related field.
• Experience building complex, real-time systems involving Agentic AI, Personalization, and Reinforced Learning with successful delivery to customers.
• Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
• Computer Science fundamentals in data structures, algorithm design, and complexity analysis.
• Ability to develop machine learning platform strategy in the domain of recommender systems.
• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the-art for applied science.

Responsibilities

• Developing novel AI architectures for secure, enterprise-grade collaborative systems.
• Advancing the science of human-AI interaction in workplace environments.
• Creating new frameworks for AI agent orchestration and optimization.
• Pioneering new approaches to privacy-preserving machine learning.
• Defining long-term science vision for the business and translating it into actionable plans for applied scientists and engineers.
• Working with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables.
• Inventing new product experiences that enable teams and agents to collaborate effectively.
• Staying abreast of the latest developments in the field of GenAI and identifying opportunities to improve efficiency and productivity.
• Launching state-of-the-art LLM/GenAI models to production and collaborating with academic partners to support in-house talent with direct access to leading research and mentoring.]

Skills

Agentic AI

Personalization

Reinforcement Learning

Real-time systems

Machine learning

Education

Graduate degree in Computer Science, Mathematics, or related field

Job description

Amazon Development Center Seattle is seeking a Senior Principal Scientist for Secure Work Enablement to lead AI research in enterprise-grade collaboration. You will design novel architectures for secure systems and advance human-AI interaction across teams.

The role emphasizes GenAI, large-scale models, and collaboration with academic partners to mentor in-house talent. Strong publication history preferred.