AI Systems Engineer - Secure Execution - Senior

EY is a globally connected professional services organization helping clients build trust and address complex business challenges through assurance, consulting, tax, strategy, transactions, data, AI, and advanced technology. EY is seeking a Senior AI Systems Engineer to build and own the identity, secrets, cryptographic, confidential-compute, and attestation infrastructure that secures AI workloads across regulated, cloud, on-premises, edge, and air-gapped environments.

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:

• • Deep expertise in workload identity, secrets management, PKI, and cryptographic lifecycle at production scale across multiple environments
• • Strong understanding of confidential compute, trusted execution environments, hardware roots of trust, and remote attestation
• • A security-first mindset: thinking in terms of provable trust, blast radius, least privilege, and cryptographic attribution rather than perimeter or convenience
• • Ability to encode trust and compliance directly into infrastructure so that security is enforced by the platform, not by manual review
• • Comfortable operating across cloud, on-prem, edge, and air-gapped environments with consistent identity and trust mechanisms
• • Strong communicator able to explain trust, identity, and attestation tradeoffs to engineers, architects, auditors, and leadership
• • Orientation toward auditability and evidence: able to translate regulatory expectations into technical controls and demonstrable proof
• • 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)