Senior AI Security & Trust Systems Engineer

EY; Toledo (OH); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Competitive pay and benefits

Total Rewards package

Job summary

EY is seeking AI Systems Engineers to own the security and trust fabric of EY’s AI-native platform. You will secure identities, secrets, and attestation across cloud, on-prem, edge, and air-gapped environments, enabling auditable, governable AI workloads.

You will partner across security, platform, and SRE teams in a hybrid work model, contributing to regulatory compliance and enterprise trust.

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 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.
• 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 platforms.
• Proven track record operating under compliance with audit-grade evidence requirements.
• Ability to define ownership boundaries and consumption contracts with platform teams.

Responsibilities

• Own workload identity and secrets management across environments (SPIRE/ODIS, IAM, secrets store).
• Build confidential compute environments with trusted hardware features to ensure isolation and audit-readiness.
• Establish a platform-wide identity model for telemetry, cost attribution, and policy enforcement.
• Manage cryptographic lifecycle: certificates, keys, roots with no manual secret sprawl.
• Enforce attestation policy for trusted nodes, enclaves, and workloads with auditable evidence.
• Collaborate with Enterprise Security/Cloud Platform/SRE for audit readiness in regulated contexts.

Skills

Workload identity

Secrets management

PKI

Cryptographic lifecycle

Confidential compute

Attestation

Multi-tenant environments

Auditability

Regulatory compliance

Education

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

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager

X.509 lifecycle

Job description

EY is seeking AI Systems Engineers to own the security and trust fabric of EY’s AI-native platform. You will secure identities, secrets, and attestation across cloud, on-prem, edge, and air-gapped environments, enabling auditable, governable AI workloads.

You will partner across security, platform, and SRE teams in a hybrid work model, contributing to regulatory compliance and enterprise trust.