Lead AI Security Engineer - Senior Manager

About the role

Location: Anywhere in Country At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are seeking an AI Security Engineer to own the security posture of EY’s Agentic AI platform end to end. Agentic AI breaks the assumptions most enterprise security programs are built on. Systems now generate and execute their own code, invoke tools and external APIs autonomously, act on behalf of human principals across long delegation chains, and can be manipulated through the same channel that carries legitimate instructions. Perimeter controls, static code review, and human-in-the-loop approval do not contain any of this on their own. This role exists to make EY’s agentic platform defensible in the most highly regulated client environments in the world, including tax, financial services, audit, and risk. It is the security engineering and assurance authority spanning the whole stack: from silicon-level attestation and Kubernetes hardening, through supply-chain integrity and sandboxed execution, to prompt-injection defense, agent authority containment, and audit-grade evidence. This is a deliberately broad mandate. It is ideal for a principal security engineer who has genuine depth in cloud-native and platform security, who has moved decisively into AI and agentic threat models, and who is equally comfortable writing a threat model, breaking a system in a red-team exercise, defining policy-as-code, and defending the resulting engineering to a client’s CISO or a regulator.

Responsibilities

• Own the platform threat model: covering agent autonomy, tool invocation, delegated authority, model and data supply chain, multi-tenancy, and every deployment target from cloud to air-gapped, and keep it current as the platform evolves through each build phase.
• Define the security engineering and control set for every platform layer: infrastructure and boot chain, Kubernetes and cluster fabric, identity and secrets, secure execution and sandboxing, gateway and egress, data and state, delivery pipeline, and telemetry.
• Set the secure-by-default contract so that platform capabilities arrive hardened, including agent templates, Helm charts, sandbox profiles, and network policy ship with