Senior AI Security Architect for Agentic Platforms

EY; Houston (TX); On-site; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking an AI Security Engineer to own EY’s Agentic AI platform security end-to-end. You will shape threat models, define platform security controls, and lead red-team style testing across cloud-to-air-gapped deployments.

The role requires deep cloud-native security knowledge, AI threat acumen, and strong policy-as-code and supply-chain security skills to defend enterprise environments and satisfy regulators.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Security, or a related field.
• 10+ years in security engineering or offensive security with hands-on ownership.
• Proven depth in cloud-native and Kubernetes security in production.

Responsibilities

• Own the platform threat model across all deployment targets from cloud to air-gapped.
• Define security controls for infrastructure, Kubernetes, identity, and data protection.
• Lead defense against agentic threat classes including prompt injection and tool abuse.
• Drive supply-chain integrity, attestation, SBOM, and patch governance.
• Lead security reviews with clients and regulators, delivering audit-grade evidence.

Skills

Cloud-native security

AI threat models

Zero-trust

Policy-as-code

Security engineering

Education

Bachelor’s or Master’s degree in CS or related field

Tools

SPIFFE/SPIRE

Vault/OpenBAo

PKI & certificate lifecycle

Job description

EY is seeking an AI Security Engineer to own EY’s Agentic AI platform security end-to-end. You will shape threat models, define platform security controls, and lead red-team style testing across cloud-to-air-gapped deployments.

The role requires deep cloud-native security knowledge, AI threat acumen, and strong policy-as-code and supply-chain security skills to defend enterprise environments and satisfy regulators.