AI Systems Engineer: Secure Execution & Identity Trust

EY

Austin (TX)

Hybrid

USD 107,000 - 177,000

Full time

36 hours ago
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Benefits offered by this job

Hybrid work model
Flexible vacation policy
Competitive compensation

Job summary

EY seeks AI Systems Engineers to own the security and trust fabric for EY's AI-native platform, covering identity, secrets, cryptography, and attestation. The role enforces protection and auditability across cloud, on-prem, edge, and air-gapped environments.

The position focuses on a platform-wide identity model, cryptographic lifecycle, and attestation policy to prove workloads are trusted and compliant in regulated industries.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Security, or related field, or equivalent experience.
  • 8+ years in security engineering or trust infrastructure with hands-on production ownership.
  • Hands-on expertise with workload identity and secrets management across multi-tenant environments.

Responsibilities

  • Own workload identity and secrets management across environments (SPIRE/ODIS, Keycloak/Entra ID, OpenBao).
  • Build confidential compute environments with TEE and secure boot architectures.
  • Define platform-wide identity model for verifiable identity across telemetry and policy enforcement.
  • Manage cryptographic lifecycle: certificates, keys, and roots with zero manual secrets.
  • Enforce attestation policy for trusted nodes and workloads with audit evidence.
  • Collaborate with Enterprise Security / Cloud Platform / SRE for audit readiness in regulated contexts.

Skills

Workload identity
IAM
Secrets management
Cryptographic lifecycle
Security engineering

Education

Bachelor’s or Master’s degree

Tools

SPIRE/SPIFFE
Keycloak/Entra ID
OpenBao
cert-manager
attestation hardware

Job description

EY seeks AI Systems Engineers to own the security and trust fabric for EY's AI-native platform, covering identity, secrets, cryptography, and attestation. The role enforces protection and auditability across cloud, on-prem, edge, and air-gapped environments.

The position focuses on a platform-wide identity model, cryptographic lifecycle, and attestation policy to prove workloads are trusted and compliant in regulated industries.

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