Senior AI Security Systems Engineer: Trust & Attestation

EY; Chattanooga (TN); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

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. You will manage workload identity, secrets, PKI, and attestation across cloud, on‑prem, edge, and air‑gapped environments, ensuring auditable, trusted deployments of AI workloads in regulated settings.

You will collaborate with Security, Cloud Platform, and SRE teams to enforce platform‑level trust, policy, and governance, delivering provable security across diverse environments and workloads.

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 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.
• 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 requirements.
• Ability to define ownership boundaries and consumption contracts with platform, data, and runtime teams.

Responsibilities

• Own workload identity and secrets management across environments.
• Build confidential compute environments for isolated, attestable deployments.
• Establish a platform-wide identity model across telemetry, cost attribution, and policy enforcement.
• Own the cryptographic lifecycle: issuance, rotation, revocation, expiry of certs and keys.
• Enforce attestation policy for nodes, enclaves, and workloads with audit evidence.
• Partner with Enterprise Security / Cloud Platform / SRE for audit readiness in regulated client contexts.

Skills

Workload identity

Secrets management

PKI

X.509 lifecycle

Confidential compute

Attestation

Multi-tenant platforms

Education

Bachelor's or Master’s degree in CS/Security

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao

cert-manager

Job description

EY is seeking AI Systems Engineers to own the security and trust fabric of EY’s AI-native platform. You will manage workload identity, secrets, PKI, and attestation across cloud, on‑prem, edge, and air‑gapped environments, ensuring auditable, trusted deployments of AI workloads in regulated settings.

You will collaborate with Security, Cloud Platform, and SRE teams to enforce platform‑level trust, policy, and governance, delivering provable security across diverse environments and workloads.