- Rapid adoption of AI agents is creating a surge in machine identities across systems (APIs, cloud, SaaS, data stores).
- These identities require provisioning, monitoring, and governance outside traditional human identity models.
- Hiring a Senior Engineer to own non-human identity (NHI) governance end-to-end.
- High-visibility, newly created role spanning:
- Identity
- Cloud
- Enterprise Applications
- Cybersecurity
Responsibilities include:
- Leading rollout and operations of NHI governance platform
- Building workflows to enable safe AI adoption
- Establishing operational foundations for AI governance
- Focus is on engineering and operations—not policy writing.
- Direct impact on securing AI-enabled systems at scale.
- What You’ll Do
- NHI Governance Platform Rollout & Operationalization
Lead end-to-end deployment of NHI governance platform.
Integrate with:
- Cloud platforms
- Identity providers
- SaaS tools
- Internal systems
- Partner with Identity Management to:
- Define NHI discovery and classification
- Assign ownership
- Manage lifecycle processes
- Build dashboards, alerts, and reporting for real-time visibility.
- Machine Identity Governance
Establish workflows for:
- Intake
- Assessment
- Approval of machine identities and credentials
- Support lifecycle management:
- Provisioning
- Credential rotation
- Access reviews
- Decommissioning
- Manage:
- Secrets
- Service accounts
- API keys
- OAuth tokens
- Identify and remediate orphaned or ungoverned credentials.
- Cross-Functional Partnership
Act as a bridge between:
- Identity Management
- Cloud Operations
- Enterprise Applications
- Cybersecurity
- Translate security policies into automated controls.
- Enable governed adoption of AI (without slowing teams down).
- Represent organization in AI governance discussions.
- Program Development
Create and maintain:
- Runbooks
- Standards
- Documentation
- Track metrics for:
- Risk reduction
- Operational maturity
- Stay updated on:
- NHI risks
- AI security trends
- What You Bring
5+ years in:
- Infrastructure, identity, or security engineering.
Experience with:
- Secrets management tools (e.g., Vault, AWS Secrets Manager, Azure Key Vault)
- NHI or identity tooling
- Strong cloud knowledge:
- AWS, Azure, or GCP
- Familiarity with authentication protocols:
- OAuth, OIDC, SAML, API keys
- Experience operationalizing enterprise security/identity platforms
- Strong cross-functional collaboration skills
- Clear and structured communication (written and verbal)
- Nice to Have
Experience with NHI/security platforms:
- Entro Security, Astrix, Elimity, etc.
- Exposure to:
- Agentic AI frameworks
- AI authentication models
- Certifications:
- CISSP, CCSP, or cloud security certs
- Industry experience:
- Media, publishing, or data-sensitive sectors
Why This Role
- Greenfield opportunity — build from scratch
- Strong executive support and investment
- High impact across all AI initiatives
- Collaborative environment with established teams across:
- Cloud
- Identity
- Cybersecurity