AI Security Engineer Lead

AI SECURITY ENGINEER LEADTHE TEAM YOU WILL BE JOININGJoin a growing Security Architecture & Engineering organization supporting a major enterprise investment in AI and agentic technology. Serve as the senior AI Security SME within a collaborative team spanning Cybersecurity, Enterprise Architecture, AI Engineering, IT, GRC, and business stakeholders. Step into a newly created Lead-level individual contributor role with significant influence over the organization's AI security strategy and technical direction. Work within a primarily Microsoft Azure environment where AI agents are actively being deployed across the business. Help mature an early-stage AI security capability by bringing proven approaches, reference patterns, and hands-on experience to the existing team. WHAT THEY OFFER YOUOpportunity to help build and shape an enterprise AI Security capability during a critical period of AI adoption. Significant ownership over security architecture, technical standards, guardrails, and priorities surrounding agentic AI. Exposure to emerging technologies including Microsoft Foundry, AI Gateway, MCP, Agent 365, Entra Suite, and Anthropic. Clear growth opportunity within a Lead/Principal technical career path without requiring people management. WHAT YOU WILL DOLead the technical security strategy for enterprise AI agents, including how they access data, APIs, tools, the internet, and other agents. Develop reusable security architectures, reference patterns, guardrails, and controls for agentic AI environments. Secure AI workloads primarily within Microsoft Azure / Foundry, including API and AI gateway controls, MCP servers, and agent-to-agent interactions. Partner with AI developers, architects, and business stakeholders to embed security into solutions while helping prioritize the organization's AI security roadmap. Evaluate emerging threats such as prompt injection, excessive agency, data leakage, tool misuse, and unauthorized access and implement controls to mitigate them. HOW YOU WILL QUALIFYStrong cybersecurity foundation within cloud security, application/product security, security architecture, API security, or a similar engineering discipline. Proven enterprise experience securing AI agents or agentic AI workloads beyond personal projects, labs, or theoretical knowledge. Hands-on experience with Microsoft Azure AI technologies, ideally Azure AI Foundry / Microsoft Foundry, Azure OpenAI, APIM, or AI Gateway. Practical experience securing agent integrations such as MCP / Model Context Protocol, APIs, agent identities, permissions, and tool access. Strong architecture and communication skills with the ability to influence technical and business stakeholders without relying on formal authority. #LI-HW1Reference: 70527