AI Systems Security & Trust Engineer

EY; Stamford (CT); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Generous paid time off

Job summary

EY seeks an AI Systems Engineer to own the security and trust fabric of EY's AI-native platform across cloud, on-prem, edge, and air-gapped environments. The role focuses on workload identity, secrets management, cryptographic lifecycle, and attestation to enable regulated, auditable AI workloads.

The position requires deep expertise in production-scale identity and cryptography, with experience across SPIRE, IAM, PKI, confidential compute, and secure boot.

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 multiple environments and tenants.
• Build confidential compute environments to ensure isolation, attestability, and audit-readiness.
• Establish the platform-wide identity model for verifiable, propagated identity across telemetry and policy enforcement.
• Own the cryptographic lifecycle: issuance, rotation, revocation, and expiry of certificates and keys.
• Enforce attestation policy for nodes, enclaves, and workloads with audit-ready evidence.
• Partner with Enterprise Security / Cloud Platform / SRE for enterprise trust standards and audits.

Skills

Workload identity

Secrets management

PKI

Confidential compute

Auditability

Education

Bachelor’s or Master’s in Computer Science/Security or related field

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager (X.509)

DOCA/TDX/SEV-SNP/SGX/NVIDIA CC

Job description

EY seeks an AI Systems Engineer to own the security and trust fabric of EY's AI-native platform across cloud, on-prem, edge, and air-gapped environments. The role focuses on workload identity, secrets management, cryptographic lifecycle, and attestation to enable regulated, auditable AI workloads.

The position requires deep expertise in production-scale identity and cryptography, with experience across SPIRE, IAM, PKI, confidential compute, and secure boot.