Engineer, Machine Identity & Agentic AI Governance
Role details
Job location
Tech stack
Job description
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Rapid adoption of AI agents is creating a surge in machine identities across systems (APIs, cloud, SaaS, data stores).
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These identities require provisioning, monitoring, and governance outside traditional human identity models.
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Hiring a Senior Engineer to own non-human identity (NHI) governance end-to-end.
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High-visibility, newly created role spanning:
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Identity
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Cloud
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Enterprise Applications
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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
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Lead end-to-end deployment of NHI governance platform.
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Integrate with:
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Cloud platforms
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Identity providers
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SaaS tools
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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
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Establish workflows for:
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Intake
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Assessment
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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
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Act as a bridge between:
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Identity Management
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Cloud Operations
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Enterprise Applications
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Cybersecurity
Translate security policies into automated controls.
Enable governed adoption of AI (without slowing teams down).
Represent organization in AI governance discussions.
Program Development
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Create and maintain:
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Runbooks
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Standards
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Documentation
Track metrics for:
- Risk reduction
- Operational maturity
Stay updated on:
- NHI risks
- AI security trends
Requirements
- 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 Google Cloud Platform
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
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Experience with NHI/security platforms:
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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