Sr. Applied Scientist, Enterprise Security Products

Benefits

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About this role

Sr. Applied Scientist, Enterprise Security Products Austin, Texas, USA What happens when you combine startup speed with Amazon-scale innovation and impact? You get this team. Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices. Here, you don't just publish papers about what's possible, you ship it to production and watch it protect real customers. This role offers a rare opportunity to define the scientific direction of a greenfield security portfolio, where agentic AI, foundation models, and novel ML approaches aren't future bets, they're what we're building right now. It's a chance to shape the future of security tooling with a small, fast team that researches like a lab and deploys like Amazon. Key job responsibilities * Set the science vision: Define a multi-year science roadmap for AI-powered security products. Identify where foundation models, agentic systems, and emerging ML techniques can fundamentally change how we detect, prevent, and respond to threats protecting Amazon Business customers. * Invent and build, end to end: Design and personally develop novel ML solutions - from agentic architectures and RAG systems to anomaly detection and behavior modeling. You won't hand off prototypes; you'll partner with engineers and PMs to ship them into production. * Tackle scientifically ambiguous problems: Translate messy, open-ended security challenges into well-defined scientific problems. Own the critical novelty in our systems and provide system-wide design guidance. * Experiment with rigor and speed: Design and run offline and online experiments to validate ideas quickly. Make

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