AI Systems Engineer: Secure Execution & Trust for Regulated AI

EY; Boston (MA); Remote; USD 107,000 - 177,000; Full time

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, and attestation layers to deploy workloads in regulated environments.

You will own enforcement mechanisms ensuring identity‑bound workloads, protected secrets, trusted nodes, and attestable deployments across cloud, on‑prem, edge, and air‑gapped environments, with audit‑ready governance.

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 SPIRE/ODIS, Keycloak/Entra ID, OpenBao, cert-manager, PKI—across environments.
• Build confidential compute environments (TEE, hardware roots) and secure DPU architecture to enable attestable workloads.
• Establish the platform‑wide identity model so every workload carries a verifiable identity flowing through telemetry and policy.
• Own the cryptographic lifecycle: issuance, rotation, revocation, expiry of certificates, keys, and roots.
• Enforce attestation policy for nodes, enclaves, and workloads with evidence captured for audit.
• Partner with Enterprise Security / Cloud Platform / SRE to ensure audit readiness in regulated client contexts.

Skills

Workload identity

Secrets management

PKI

Cryptographic lifecycle

Education

Bachelor’s/Master’s CS or Security

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager

TEE/Confidential compute

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, and attestation layers to deploy workloads in regulated environments.

You will own enforcement mechanisms ensuring identity‑bound workloads, protected secrets, trusted nodes, and attestable deployments across cloud, on‑prem, edge, and air‑gapped environments, with audit‑ready governance.