Sr. Applied Scientist, AI & AGI Security

We are seeking a Senior Applied Scientist to lead research and development of novel security validation and monitoring techniques for AI systems at scale. You will own and contribute to four critical workstreams:

1. Real-Time Agent Monitoring Design and implement scientific approaches for continuous behavioral analysis of AI agents in production—detecting anomalous actions, prompt injection exploitation, and policy violations in real time.

2. MCP Server Validation Develop novel validation frameworks to assess the security posture of Model Context Protocol (MCP) servers, including input sanitization verification, tool-use authorization boundaries, and data exfiltration detection.

3. AI-Enabled Application Validation Invent and deliver scalable methodologies for security testing of AI-enabled applications, including adversarial robustness evaluation, safety guardrail bypass detection, and trust boundary verification.

4. AI Asset Discovery & Inventory Research and build scalable techniques to automatically discover, identify, and catalog all AI-enabled applications and services across the company—maintaining a comprehensive, continuously updated database of AI assets.

Key job responsibilities Invent

• Identify and frame new research challenges in AI security where problems are ill-defined and require novel scientific paradigms at the product level.
• Drive the team's scientific agenda for agent monitoring, validation research, and AI asset discovery; propose new initiatives and secure leadership buy-in.
• Publish research results at peer-reviewed internal and external venues (e.g., USENIX Security, IEEE S&P, NeurIPS, ICML security workshops) when appropriate.
• Articulate key scientific challenges of current and future AI security threats and present interventions to address them.
• Make trade-offs between short-term tactical security needs and long-term research investments.

Implement

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