Senior AI Security Engineer: Trusted Execution & Identities

Ernst & Young Oman; Toledo (OH); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off options

Job summary

EY seeks an AI Systems Engineer to own the security and trust fabric of EY's AI-native platform, spanning identity, secrets, cryptographic and attestation layers across cloud, on-prem, edge and air-gapped environments.

You will enforce trusted workloads, protect secrets, and ensure attestable deployments with audit-ready evidence, while coordinating with Enterprise Security and SRE to meet regulatory requirements.

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, PKI).
• Build confidential compute environments (TEE, secure boot, secure DPU) to keep workloads isolated and auditable.
• Establish a platform-wide identity model with verifiable identity across telemetry and policy enforcement.
• Manage the cryptographic lifecycle: issuance, rotation, revocation, expiry of certificates and keys.
• Enforce attestation policy for nodes, enclaves, and workloads with audit-ready evidence.
• Collaborate with Enterprise Security / Cloud Platform / SRE to ensure compliance and audit readiness.

Skills

Workload identity

Secrets management

PKI

Cryptographic lifecycle

Attestation

Security architecture

Cross-tenant security

Education

Bachelor's or Master's in CS/Security

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager (X.509)

TEE/Confidential compute

Job description

EY seeks an AI Systems Engineer to own the security and trust fabric of EY's AI-native platform, spanning identity, secrets, cryptographic and attestation layers across cloud, on-prem, edge and air-gapped environments.

You will enforce trusted workloads, protect secrets, and ensure attestable deployments with audit-ready evidence, while coordinating with Enterprise Security and SRE to meet regulatory requirements.