Senior AI Security Engineer - Agentic Platform Defenses

EY; Milwaukee (WI); On-site; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k)

Paid time off

Flexible vacation policy

Job summary

EY is seeking an AI Security Engineer to own the security posture of EY’s Agentic AI platform end to end. The role spans threat modeling, platform hardening, supply‑chain integrity and policy‑as‑code to defensible deployments in regulated environments.

You will lead red teaming, risk assessment, and client-facing assurance for deployments across cloud to air‑gapped targets. The successful candidate has deep cloud-native security expertise, AI threat modelling experience, and the ability to

Qualifications

• BS/MS in Computer Science, Security or related field or equivalent depth.
• 10+ years in security engineering with production ownership.
• Hands-on with cloud-native and Kubernetes security in production.

Responsibilities

• Own platform threat model across deployment targets and multi-tenancy.
• Define platform security controls per layer: infra, Kubernetes, identity, sandboxing.
• Establish secure-by-default contracts, templates and policies.
• Lead AI red teaming and adversarial testing before client audits.
• Manage supply-chain integrity, SBOM, signing and attestation.
• Provide client-facing assurance reviews and regulator-ready artifacts.

Skills

Cloud-native security

Kubernetes security

Threat modelling

Policy-as-code

Red team & adversarial testing

Security architecture

Communication with CISO/regulators

Education

Bachelor’s or Master’s degree in CS or Security

Tools

SPIFFE/SPIRE

Sigstore/Cosign

OPA/Kyverno

Kubernetes

Job description

EY is seeking an AI Security Engineer to own the security posture of EY’s Agentic AI platform end to end. The role spans threat modeling, platform hardening, supply‑chain integrity and policy‑as‑code to defensible deployments in regulated environments.

You will lead red teaming, risk assessment, and client-facing assurance for deployments across cloud to air‑gapped targets. The successful candidate has deep cloud-native security expertise, AI threat modelling experience, and the ability to