Strong foundation in cybersecurity, particularly in cloud and application security.
Proven experience securing AI agents in enterprise environments, not just personal projects.
Hands-on expertise with Microsoft Azure AI technologies, including Azure AI Foundry and Azure OpenAI.
Practical knowledge of securing agent integrations, APIs, and permissions.
Excellent architecture and communication skills to influence stakeholders effectively.
Responsibilities
Lead the technical security strategy for enterprise AI agents and their data access.
Develop reusable security architectures and controls for AI environments.
Secure AI workloads within Microsoft Azure, focusing on API and gateway controls.
Collaborate with AI developers and business stakeholders to integrate security into solutions.
Evaluate and mitigate emerging threats like data leakage and unauthorized access.
Benefits
Opportunity to shape the AI security strategy in a growing organization.
Collaborative work environment with cross-functional teams.
Influence over the technical direction of AI security initiatives.
Engagement with cutting-edge AI technologies and security practices.
Full Job Description
AI SECURITY ENGINEER LEAD
THE TEAM YOU WILL BE JOINING
Join 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 YOU WILL DO
Lead 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 QUALIFY
Strong 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.
