AI Security Engineer: Trusted Execution & Identity

EY; Louisville (KY); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY seeks AI Systems Engineers to own the security and trust fabric of EY's AI-native platform, ensuring identity-bound workloads, protected secrets, trusted nodes, and attestable deployments across cloud, on-prem, edge, and air-gapped environments.

You will drive platform-wide identity models, cryptographic lifecycle, and attestation policies while collaborating with Enterprise Security, Cloud Platform, and SRE for audit readiness in regulated contexts.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Security, or related field, or equivalent experience.
• 8+ years in security engineering, identity/PKI, or trust infrastructure, with hands-on production ownership.
• Hands-on expertise with workload identity (SPIRE/SPIFFE), IAM (Keycloak/Entra ID), and secrets management (OpenBao/Vault).
• Strong grounding in PKI, X.509 certificate lifecycle (cert-manager), key management, and transit encryption.
• Experience with confidential compute and hardware attestation (TDX, SEV-SNP, SGX, NVIDIA CC) and secure boot (Intel TXT).
• Experience delivering identity and secrets across multi-tenant, multi-environment (cloud/on-prem/edge/air-gapped) platforms.
• Proven track record operating under compliance, security, or regulatory constraints with audit-grade evidence requirements.
• Ability to define clean ownership boundaries and consumption contracts with platform, data, and runtime teams.

Responsibilities

• Own workload identity and secrets management: SPIRE/ODIS, Keycloak/Entra ID (IAM), OpenBao (secrets store), cert-manager (X.509 lifecycle).
• Build confidential compute environments: TEE (TDX/SEV-SNP/SGX/TrustZone/CCA/NVIDIA CC), Intel TXT boot security, secure DPU architecture (DOCA).
• Establish the platform-wide identity model so every workload, agent, and service carries a verifiable identity.
• Own the cryptographic lifecycle: issuance, rotation, revocation, and expiry of certificates, keys, and roots.
• Enforce attestation policy: which nodes, enclaves, and workloads are trusted, and how evidence is captured for audit.
• Partner on a dotted-line basis with Enterprise Security / Cloud Platform / SRE for audit readiness in regulated contexts.

Skills

Workload identity

Secrets management

PKI & X.509

Confidential compute

Attestation

Education

Bachelor’s or Master’s in CS/Security

Job description

EY seeks AI Systems Engineers to own the security and trust fabric of EY's AI-native platform, ensuring identity-bound workloads, protected secrets, trusted nodes, and attestable deployments across cloud, on-prem, edge, and air-gapped environments.

You will drive platform-wide identity models, cryptographic lifecycle, and attestation policies while collaborating with Enterprise Security, Cloud Platform, and SRE for audit readiness in regulated contexts.