Job Title: Sr. Engineer, Machine Identity & Agentic AI Governance
Location: Remote
Contract length: 6 months
Schedule: Fulltime, 40 hrs/week
Pay: $120/hr to $142.85/hr

Job Overview:
As the business build and 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. Hiring a Senior Engineer to own this space end-to-end. 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 let the lines of business move fast with appropriate guardrails, and establish the operational foundation that makes the broader AI governance program function. This is not a policy-writing role -- it's an engineering and operations role with real cross-functional ownership and material impact on how they secure its AI-enabled future.

Job Responsibilities:

• NHI Governance Platform Rollout & Operationalization
• Lead the end-to-end deployment of HTS's NHI governance platform across the 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

• 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

• 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

• 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 the portfolio of media brands
• Collaborative environment -- you'll work closely with experienced teams across Cloud, Identity, and Cyber, with clear lanes and shared goal