AI Systems Security & Trust Engineer

EY; Richmond (VA); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Salary and benefits

Paid time off

Medical & dental

Job summary

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

Responsibilities include workload identity and secrets management, confidential compute, and platform-wide identity modelling. You will coordinate with security and platform teams to ensure audit-ready governance and regulatory compliance.

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.
• Build confidential compute environments and secure boot capabilities to enable attestable platforms.
• Define a unified platform-wide identity model for verifiable workload identities.
• Oversee cryptographic lifecycle: issuance, rotation, revocation of certificates and keys.
• Enforce attestation policy for trusted nodes and workloads with audit-ready evidence.
• Collaborate with Enterprise Security / Cloud Platform / SRE to ensure regulatory compliance.

Skills

Workload identity

Secrets management

PKI

Cryptographic lifecycle

Confidential compute

Trusted execution environments

Hardware roots of trust

Remote attestation

Security-first mindset

Auditability

Multi-environment platforms

Education

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

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager

X.509 lifecycle

TDX / SEV-SNP / SGX / TrustZone

NVIDIA DOCA

Job description

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

Responsibilities include workload identity and secrets management, confidential compute, and platform-wide identity modelling. You will coordinate with security and platform teams to ensure audit-ready governance and regulatory compliance.