Enterprise AI Operations Lead
New
J
JobgetherIT Operations, AI
Based in United StatesFull-TimeLead
SalaryCompetitive salary range of $122,000 to $145,000.
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Job Details
- Experience
- 5+ years
- Required Skills
- Artificial IntelligenceComplianceLookerRisk Management
Requirements
- 5+ years of experience in IT operations, systems administration, technical operations, or related technology roles.
- Demonstrated experience applying governance, risk management, or compliance principles within enterprise technology environments.
- Experience administering enterprise SaaS platforms, including user management, SSO/SCIM configuration, permissions, and audit log reviews.
- Hands-on experience creating and maintaining BI dashboards and recurring operational reports using Looker or similar analytics tools.
- Familiarity with AI-powered developer tools and agentic AI platforms, including permission models, autonomous workflows, and associated risks.
- Understanding of AI retrieval concepts such as RAG, connectors, knowledge bases, source governance, and access control considerations.
- Ability to manage AI governance frameworks focused on security, compliance, data protection, and responsible adoption.
- Strong analytical skills with the ability to interpret usage data, identify trends, and recommend improvements.
- Excellent communication skills with the ability to collaborate across technical and non-technical teams.
Responsibilities
- Administer enterprise AI deployments across conversational AI platforms and coding assistants, including user provisioning, permissions, workspace configuration, and integration management.
- Configure and maintain AI tooling guardrails, including managed settings, permission controls, approved and restricted tools, and policy enforcement across developer environments.
- Govern AI connectors, extensions, integrations, and tool requests by evaluating security, compliance, and data-handling considerations through established approval processes.
- Manage internal AI knowledge sources used for retrieval, including intake processes, trust classification, source inventories, freshness monitoring, and access controls.
- Partner with Legal, Security, and Data Privacy teams to review regulated data risks and ensure responsible AI usage practices.
- Build and maintain reporting dashboards tracking AI adoption, active users, licensing utilization, spending trends, and operational performance.
- Monitor AI platform costs, token consumption, and usage patterns while identifying opportunities for optimization and efficiency improvements.
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