Amazon Security is seeking a Senior Applied Scientist to lead GenAI acceleration within the Secure Third Party Tools (S3T) organization. The S3T team has bold ambitions to re-imagine security products that serve Amazon's pace of innovation at our global scale. This role will focus on leveraging large language models and agentic AI to transform third-party security risk management, automate complex vendor assessments, streamline controllership processes, and dramatically reduce assessment cycle times. You will drive builder efficiency and deliver bar-raising security engagements across Amazon.

Own and drive end-to-end technical vision for large-scoped science initiatives focused on third-party security risk management, independently defining research agendas, success metrics, and multi-quarter roadmaps with minimal oversight.

Pioneer transformative approaches to automate third-party security review processes using state-of-the-art large language models, designing intelligent systems for vendor assessment document analysis, security questionnaire automation, risk signal extraction, and compliance decision support.

Architect and lead development of advanced GenAI and agentic frameworks including multi-agent orchestration, RAG pipelines, and autonomous workflows purpose-built for third-party risk evaluation, security documentation processing, and scalable vendor assessment at enterprise scale.

Build ML-powered risk intelligence capabilities that enhance third-party threat detection, vulnerability classification, and continuous monitoring throughout the vendor lifecycle.

Serve as strategic thought partner to senior leadership and business stakeholders, translating complex AI capabilities into high-impact third-party security solutions, influencing investment priorities, and delivering measurable risk reduction and operational efficiency.

Partner with Software Engineering and Data Engineering as technical co-owner to deploy production-grade ML solutions that integrate seamlessly with existing third-party risk management workflows and scale across the organization.

Mentor and elevate scientists and engineers, establishing best practices for security-focused AI development while advancing the state of the art through applied research and publications.