Senior AI Security & Trust Architect

EY; Nashville (TN); Remote; USD 107,000 - 177,000; Full time

Benefits offered by this job

Total rewards package

Hybrid work model

Generous PTO

Job summary

EY is seeking AI Systems Engineers to own the security and trust fabric of EY’s AI-native platform, spanning cloud, on-prem, edge and air-gapped environments. You will own workload identity, secrets, PKI, and attestation across multi-tenant environments.

You’ll build confidential compute environments and enforce platform-wide identity models to ensure auditable, trusted workloads. Collaboration with security, cloud, and SRE teams is key in a regulated context.

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 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 multi-envs (SPIRE/ODIS, Keycloak/Entra ID, OpenBao, cert-manager).
• Build confidential compute environments (TEE, trusted boot) to make environments isolated and audit-ready.
• Establish platform-wide identity model for verifiable identity across workloads and telemetry.
• Manage cryptographic lifecycle: certificates, keys, and roots with zero manual secret sprawl.
• Enforce attestation policy for nodes/enclaves/workloads and capture evidence for audit.
• Collaborate with Enterprise Security/Cloud Platform/SRE for audit readiness in regulated contexts.

Skills

Workload identity

Secrets management

PKI

Confidential compute

Attestation

Compliance & audit

Service mesh

Policy engines

API gateways

Education

Bachelor's or Master's in CS/Security or related field

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager

X.509

DOCA/TDX/SEV-SNP

Intel TXT

Job description

EY is seeking AI Systems Engineers to own the security and trust fabric of EY’s AI-native platform, spanning cloud, on-prem, edge and air-gapped environments. You will own workload identity, secrets, PKI, and attestation across multi-tenant environments.

You’ll build confidential compute environments and enforce platform-wide identity models to ensure auditable, trusted workloads. Collaboration with security, cloud, and SRE teams is key in a regulated context.