Senior AI Security Engineer

We are building a unified, scalable AI security testing and benchmarking platform deeply integrated within the client’s Security ecosystem. This platform plays a critical role in evaluating AI usage monitoring at runtime to continuously validate AI agents and their embedded capabilities before adoption — ultimately reducing security, compliance, and remediation exposure across the client’s software delivery. Responsibilities Design, build, and scale automated AI security testing and benchmarking pipelines within the client’s Security ecosystem Evaluate and implement runtime AI usage monitoring to continuously assess AI agents and their embedded capabilities prior to production adoption Conduct dynamic and static testing against AI architectures (including MCP, LLMs, and RAG pipelines) to uncover vulnerabilities aligned with the OWASP Top 10 for LLMs and Web Applications Partner closely with engineering, core security teams, and stakeholders to align on security guardrails, write clear technical documentation, and report on security posture and testing metrics Requirements Solid foundation in security engineering principles, secure software development, and integrating security practices throughout the delivery lifecycle Deep grasp of application security fundamentals, secure architectures, and vulnerability management — including familiarity with web application threats and the OWASP Top 10 (Web, LLM, and MCP) Comprehensive, up-to-date understanding of AI security paradigms, architectures, and threat models, specifically concerning Model Context Protocol (MCP), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) Practical knowledge of both dynamic (DAST) and static (SAST) testing techniques to uncover and validate security flaws Nice to have Basic ability to read code across multiple languages to understand functionality and implement small patches when needed Genuine interest in exploring the intersection of AI for security and security for AI Clear technical writing and reporting skills, with the ability to bridge technical concepts for non-technical stakeholders Experience driving cross-team alignment across engineering, security, and product groups