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Sr. Engineer, Machine Identity & Agentic AI Governance

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Roles & Responsibilities

  • 5+ years in an infrastructure, identity, or security engineering role
  • Hands-on experience with secrets management platforms
  • Strong working knowledge of cloud environments
  • Familiarity with OAuth, OIDC, SAML, and API key-based authentication patterns

Requirements:

  • Lead the end-to-end deployment of NHI governance platform
  • Partner with the Identity Management team to define the operational model for NHI
  • Develop dashboards, alerting, and reporting for machine identity posture
  • Establish intake, assessment, and approval workflows for new machine identities

Job description

Title: Sr. Engineer, Machine Identity & Agentic AI Governance (Remote)
Location: Charlotte NC
Duration: 6 months

Pay Rate - $120/hr - $140/hr on W-2 (No 1099 or C2C)


As our client is hiring a Sr. Engineer to adopt AI agents at an accelerating pace, every connection those agents make to internal systems — APIs, cloud services, collaboration tools, data stores — generates a machine identity that must be provisioned, monitored, and governed. These credentials proliferate fast, operate autonomously, and fall entirely outside the governance models built for human users.

This is a newly created, high-visibility role that sits at the intersection of Identity, Cloud, Enterprise Applications, and Cybersecurity. You'll lead the rollout and operationalization of HTS's non-human identity (NHI) governance platform, build the workflows that lets lines of business move fast with appropriate guardrails, and establish the operational foundation that makes the broader AI governance program function.

Summary
This is not a policy-writing role — it's an engineering and operations role with real cross [1] functional ownership and material impact on how Hearst secures its AI-enabled future.

What You'll Do - NHI Governance Platform Rollout & Operationalization
Lead the end-to-end deployment of NHI governance platform across environment, including integration with cloud platforms, identity providers, SaaS tools, and internal systems
Partner with the Identity Management team to define and build the operational model for NHI discovery, classification, ownership assignment, and lifecycle management
Develop dashboards, alerting, and reporting that give HTS and business stakeholders real-time visibility into machine identity posture Machine Identity Governance
Establish intake, assessment, and approval workflows for new machine identities and agent credentials across lines of business
Partner with Identity on lifecycle management processes — provisioning, rotation, access reviews, and decommissioning — for secrets, service accounts, API keys, and OAuth tokens
Identify ungoverned or orphaned credentials and drive remediation in collaboration with Cloud, Identity, and Engineering teams Cross-Functional Partnership
Serve as the operational connective tissue between Identity Management, Cloud Operations, Enterprise Applications, and the Cybersecurity team
Partner with Cyber to translate policy into enforceable, automated controls
Collaborate with the AI team and lines of business to enable governed adoption of agentic AI — governance as an enabler, not a bottleneck
Represent HTS in cross-functional forums on AI governance and machine identity strategy Program Development
Build and maintain runbooks, standards, and documentation for machine identity operations
Track metrics that demonstrate risk reduction and operational maturity over time
Stay current on the evolving NHI and agentic AI threat landscape and bring relevant practices back to HTS

What You Bring
5+ years in an infrastructure, identity, or security engineering role with demonstrated ownership of complex, cross-functional initiatives
Hands-on experience with secrets management platforms (e.g., HashiCorp Vault, AWS Secrets Manager, Azure Key Vault) and/or non-human identity tooling
Strong working knowledge of cloud environments (AWS, Azure, or GCP) and how machine identities are created and used within them
Familiarity with OAuth, OIDC, SAML, and API key-based authentication patterns
Experience integrating security or identity tooling across enterprise environments — you know what it takes to go from a new platform license to an operational program
Ability to work across organizational boundaries: you're as comfortable in a technical deep-dive with engineers as you are presenting risk posture to stakeholders
Clear, structured communicator — written and verbal

Nice to Have
Experience with NHI governance or secrets security platforms (e.g., Entro Security, Astrix, Elimity, or similar)
Background in or exposure to agentic AI frameworks and how AI agents authenticate to services
Relevant certifications (CISSP, CCSP, cloud provider security certs)
Experience in media, publishing, or other data-sensitive industries

Why This Role
Greenfield ownership — you're building the program, not inheriting a backlog
Organizational support — this role was created with executive backing and dedicated tooling investment; the mandate is real
High-impact surface area — machine identity governance touches every AI initiative across Client's portfolio of media brands
Collaborative environment — you'll work closely with experienced teams across Cloud, Identity, and Cyber, with clear lanes and shared goal


The following benefits are offered for this position: medical, dental, & vision insurance, short-term disability, life and AD&D insurance, and a 401(k) retirement plan.

Everest Consultants is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state, or federal civil rights laws.#IND

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