Sr. Applied Scientist, AI & AGI Security
Core
Lead research and development of novel security validation and monitoring techniques for AI systems at scale, focusing on real-time agent monitoring, MCP server validation, AI-enabled application validation, and AI asset discovery.
Role type
Senior Applied Scientist (AI Security)
Builds
Production security solutions for AI agents, validation frameworks, and asset discovery systems
Domain
AI Security / Machine Learning (via careerplan.io/jobs/10567882-sr-applied-scientist-ai-agi-security-at-amazon)
Deliverable
production ML models
Required skills
PhD or Master's with 5+ years applied research, Java/C++/Python programming, building ML models for business applications, neural deep learning methods
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark)
Technologies
streaming inference frameworks, graph-based anomaly detection, NLP-based service classification, code/traffic analysis
Responsibilities
Design and implement scientific approaches for continuous behavioral analysis of AI agents; Develop validation frameworks for MCP servers; Invent methodologies for security testing of AI-enabled applications; Research and build techniques to automatically discover and catalog AI assets; Lead design and implementation of complex security solutions into production; Drive adoption of best practices in scientific methodology and software engineering
Seniority
Senior, hands-on IC with research leadership