Secure AI Systems Engineer: Identity & Attestation

EY; Tucson (AZ); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking AI Systems Engineers to own the security and trust fabric of EY's AI-native platform across cloud, on-prem, edge and air-gapped environments. You will drive identity, secrets, PKI and attestation at production scale.

This role enables the platform's governance across diverse environments and requires audit-ready, verifiable trust with strong collaboration across Enterprise Security, Cloud Platform and SRE teams.

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: SPIRE/ODIS, Keycloak/Entra ID (IAM), OpenBao (secrets store), cert-manager (X.509 lifecycle), PKI issuers/roots, and transit encryption — propagated consistently across every environment and tenant.
• Build confidential compute environments: TEE (TDX/SEV-SNP/SGX/TrustZone/CCA/NVIDIA CC), Intel TXT boot security, and secure DPU architecture (DOCA), so environments are isolated, attestable, and audit-ready.
• Establish the platform-wide identity model so every workload, agent, and service carries a verifiable, propagated identity that flows through telemetry, cost attribution, and policy enforcement end-to-end.
• Own the cryptographic lifecycle: issuance, rotation, revocation, and expiry of certificates, keys, and roots, with zero manual, untracked secrets and no long-lived credential sprawl across tenants.
• Enforce attestation policy: which nodes, enclaves, and workloads are trusted, how trust is proven at boot and at runtime, and how attestation evidence is captured for audit.
• Partner on a dotted-line basis with Enterprise Security / Cloud Platform / SRE to ensure independent review, alignment to enterprise trust standards, and audit readiness in regulated client contexts.

Skills

workload identity

secrets management

PKI

cryptographic lifecycle

confidential compute

hardware roots of trust

attestation

auditability

Education

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

Job description

EY is seeking AI Systems Engineers to own the security and trust fabric of EY's AI-native platform across cloud, on-prem, edge and air-gapped environments. You will drive identity, secrets, PKI and attestation at production scale.

This role enables the platform's governance across diverse environments and requires audit-ready, verifiable trust with strong collaboration across Enterprise Security, Cloud Platform and SRE teams.