AI Systems Engineer - Secure Execution - Senior

EY is a globally connected professional services organization that helps clients build trust and create value through assurance, consulting, tax, strategy, transactions, data, AI, and advanced technology. The Senior AI Systems Engineer will own the security and trust fabric of EY’s AI-native platform, including workload identity, secrets management, cryptography, confidential computing, and attestation across cloud, on-premises, edge, and air-gapped environments. The role will establish enforceable, auditable trust mechanisms for regulated AI workloads and partner with Enterprise Security, Cloud Platform, and SRE 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

Requirements:

• • 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
• • Familiarity with secure DPU architectures (DOCA) and hardware root-of-trust / boot-chain designs
• • Experience integrating identity and attestation into service mesh, policy engines (OPA), and API gateways
• • Exposure to AI/ML workloads and the specific trust challenges of confidential AI inference (models/secrets inside enclaves)
• • Experience producing attestation and compliance evidence for external auditors or regulators
• • Relevant certifications (e.g., CISSP, cloud security specialties) or demonstrable equivalent depth
• • Exposure to regulated industries (financial services, tax, healthcare, risk)