AI Systems Engineer: Secure Execution & Trust Platform

EY; City of Rochester (NY); On-site; USD 107,000 - 177,000; Full time

Job summary

EY is seeking AI Systems Engineers to own the security and trust fabric of EY's AI-native platform, spanning cloud, on-prem, edge, and air-gapped environments. You will manage workload identity, secrets, PKI, attestation, and cryptographic lifecycle to enable auditable, trusted AI workloads across regulated contexts.

The role interfaces with Enterprise Security, Cloud Platform, and SRE to align with enterprise trust standards and governance, while delivering verifiable identity and secure boot

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, or equivalents) and secure boot (Intel TXT).
• Experience delivering identity and secrets across multi-tenant, multi-environment platforms.
• Proven track record under compliance/audit constraints with evidence requirements.
• Ability to define ownership boundaries with platform, data, and runtime teams.

Responsibilities

• Own workload identity and secrets management across environments.
• Build confidential compute environments to ensure isolation, attestability, and audit-readiness.
• Define platform-wide identity model for verifiable identities across telemetry and policy enforcement.
• Manage cryptographic lifecycle: issuance, rotation, revocation, expiry; prevent secret sprawl.
• Enforce attestation policy for nodes, enclaves, and workloads with audit evidence.
• Collaborate with Enterprise Security / Cloud Platform / SRE for audit readiness in regulated contexts.

Skills

Workload identity

Secrets management

PKI

Confidential compute

Hardware attestation

Audit readiness

Multi-tenant environments

Compliance & regulation

Education

Bachelor’s or Master’s degree in Computer Science, Security, or related field

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager

DOCA/TEE platforms

TDX/SEV-SNP/SGX/TrustZone

Job description

EY is seeking AI Systems Engineers to own the security and trust fabric of EY's AI-native platform, spanning cloud, on-prem, edge, and air-gapped environments. You will manage workload identity, secrets, PKI, attestation, and cryptographic lifecycle to enable auditable, trusted AI workloads across regulated contexts.

The role interfaces with Enterprise Security, Cloud Platform, and SRE to align with enterprise trust standards and governance, while delivering verifiable identity and secure boot