Senior AI Security & Trust Engineer

EY

Tulsa (OK)

Remote

USD 107,000 - 177,000

Full time

14 days+

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Benefits offered by this job

Hybrid/Remote flexible work options
Total Rewards package
Medical and dental coverage
Paid time off

Job summary

EY seeks 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 design and enforce identity, secrets, attestation, and cryptographic controls to prove workloads are trusted and auditable.

Collaborate with Enterprise Security, Cloud Platform, and SRE to deliver audit-ready, compliant infrastructure for regulated client contexts while enabling secure AI deployments at scale.

Qualifications

  • Bachelor’s or Master’s degree in CS, Security, or related field.
  • 8+ years in security engineering, identity/PKI, or trust infrastructure.
  • Hands-on with workload identity (SPIRE/SPIFFE), IAM (Keycloak/Entra ID), and secrets (OpenBao/Vault).
  • Strong PKI and X.509 certificate lifecycle experience.
  • 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 across multi‑tenant environments.
  • Proven track record under compliance with audit‑grade evidence requirements.
  • Ability to define ownership boundaries with platform, data, and runtime teams.

Responsibilities

  • Own workload identity and secrets management across IAM and secrets stores.
  • Build confidential compute environments with TEEs and secure boot.
  • Establish platform-wide identity model for verifiable identity across telemetry and policy.
  • Own cryptographic lifecycle: certificates, keys, and roots rotation.
  • Enforce attestation policy for trusted nodes and workloads and capture evidence.
  • Collaborate with Enterprise Security, Cloud Platform, and SRE for audit readiness.

Skills

Workload identity
Secrets management
PKI
Cryptographic lifecycle
Confidential compute
Attestation
Auditability
Multi‑environment ops
Security strategy
Communication

Education

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

Tools

SPIRE/SPIFFE
Keycloak/Entra ID
OpenBao
cert-manager
TDX/SEV‑SNP/SGX
Intel TXT
NVIDIA DOCA
service mesh
OPA
API gateways

Job description

EY seeks 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 design and enforce identity, secrets, attestation, and cryptographic controls to prove workloads are trusted and auditable.

Collaborate with Enterprise Security, Cloud Platform, and SRE to deliver audit-ready, compliant infrastructure for regulated client contexts while enabling secure AI deployments at scale.

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