AI Security Engineer: Trusted Execution for Regulated AI

EY; Tallahassee (FL); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare and 401(k)

Paid time off

Job summary

EY is seeking AI Systems Engineers to own the security and trust fabric of EY's AI-native platform across cloud, on-prem, edge, and air-gapped environments. The role enforces identity, secrets, attestation, and cryptographic controls to enable auditable, trusted AI workloads.

You will collaborate with Enterprise Security, Cloud Platform, and SRE to ensure compliance with regulated client contexts, while supporting a hybrid, client-facing model and a broad total rewards package.

Qualifications

• Bachelor's or Master's degree in Computer Science, Security, or related technical field, or equivalent experience.
• 8+ years in security engineering, identity/PKI, or trust infrastructure, with hands-on production ownership.
• Deep, 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.
• Working experience with confidential compute and hardware attestation (TDX, SEV-SNP, SGX, NVIDIA CC, or equivalents) and secure boot (Intel TXT).
• Experience delivering identity and secrets consistently 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 across environments (SPIRE/ODIS, Keycloak/Entra ID, OpenBao, cert-manager).
• Build confidential compute environments (TEE, secure boot, secure DPU architecture) for audited, isolated workloads.
• Establish a platform-wide identity model for verifiable identities across telemetry and policy enforcement.
• Manage the cryptographic lifecycle: issuance, rotation, revocation, expiry of certificates and keys.
• Enforce attestation policy across nodes, enclaves, and workloads with audit-ready evidence.
• Partner with Enterprise Security / Cloud Platform / SRE for enterprise trust alignment and audit readiness.

Skills

Workload identity

Secrets management

PKI

Cryptography

Education

Bachelor's/Master's degree

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager

Job description

EY is seeking AI Systems Engineers to own the security and trust fabric of EY's AI-native platform across cloud, on-prem, edge, and air-gapped environments. The role enforces identity, secrets, attestation, and cryptographic controls to enable auditable, trusted AI workloads.

You will collaborate with Enterprise Security, Cloud Platform, and SRE to ensure compliance with regulated client contexts, while supporting a hybrid, client-facing model and a broad total rewards package.