AI Systems Engineer: Secure Execution & Trust Fabric

EY; St. Louis (MO); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare and pension benefits

Generous paid time off

Job summary

EY is seeking AI Systems Engineers to own the security fabric for its AI-native platform, spanning identity, secrets, attestation and PKI across cloud, on-prem, edge, and air-gapped environments.

You will drive workload identity, cryptographic lifecycle, and attestation policies, partnering with security and platform teams to ensure auditable, compliant workloads in regulated industries.

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.
• Hands-on expertise with workload identity (SPIRE/SPIFFE), IAM (Keycloak/Entra ID), and secrets management (OpenBao/Vault).
• Strong grounding in PKI, X.509 lifecycle, 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.
• Ability to define clean ownership boundaries with platform, data, and runtime teams.

Responsibilities

• Own workload identity and secrets management across environments (SPIRE/ODIS, IAM, Secrets store).
• Build confidential compute environments to keep workloads isolated, attestable, and audit-ready.
• Establish a platform-wide identity model for verifiable identities across telemetry and policy enforcement.
• Own the cryptographic lifecycle: certificates, keys, and roots with zero manual secrets.
• Enforce attestation policy for nodes, enclaves, and workloads with boot and runtime proofs.
• Partner with Enterprise Security / Cloud Platform / SRE for audit readiness in regulated contexts.

Skills

Workload identity

Secrets management

PKI

Cryptographic lifecycle

Confidential compute

Trustworthy hardware roots

Auditability

Cross-environment security

Education

Bachelor’s or Master’s in CS/Security/related field

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao

cert-manager

DOCA/TDX/SEV-SNP

Job description

EY is seeking AI Systems Engineers to own the security fabric for its AI-native platform, spanning identity, secrets, attestation and PKI across cloud, on-prem, edge, and air-gapped environments.

You will drive workload identity, cryptographic lifecycle, and attestation policies, partnering with security and platform teams to ensure auditable, compliant workloads in regulated industries.