Senior AI Security Engineer

Job description

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