horizon3ai AI Administrator, Business Applications at horizon3ai responsible for administering AI tooling and platforms used across the company. Supports configuration, access, and governance of AI tools and integrations.
Responsibilities
We are seeking an AI Admin to administer and govern the AI tooling that Horizon3 employees use for their work. The Business Applications (BizApps) team is the operational backbone for organizational collaboration, system connectivity, and process automation at Horizon3. We partner with every department to provide the platforms, guardrails, and integrations that eliminate manual toil safely and efficiently. We own and administer Jira, Jira Service Management (JSM), Confluence, Rovo, Loom, Glean, and our citizen development platform, Workato. We hold ourselves to least-privilege access, data privacy, and auditable data flows in everything we build.
This is an individual contributor role reporting to the Senior Manager, Business Applications. You will work with the Senior Engineer on complex agent and automation builds, and with the IT Admins on shared platforms. The path from Admin to Senior Engineer is a defined growth route on this team.
This role will be responsible for:
Administer Glean, including data source connectors, user access, permissions, configuration, and usage monitoring
Administer Rovo, including agent availability, access, and settings within our Atlassian environment
Configure and support Projects, Skills, Gems, and agents in Claude, Gemini, and AWS Bedrock, including access groups and workspace settings related to BizApps assets and resources
Manage provisioning, deprovisioning, and licensing for AI platforms using role-based access control (RBAC)
Build and maintain lower-complexity agents, Projects, Skills, and Gems for business teams, and escalate complex builds to the Senior Engineer
Gather use case, data source, and access details from AI enablement requests and route them to the right platform and owner
Implement access controls and data handling standards for AI deployments with Security and IT Engineering, applying least-privilege access and checking connector permissions against source system permissions
Monitor AI tool usage for misuse, permission drift, and unexpected data exposure, and escalate concerns to Security and the Senior Manager
Maintain a current record of AI tools, connectors, and deployed agents, including owner, purpose, data access, and review date, to support audits
Qualification
Must be able to scopeMinimum Education and Experience3+ years of experience in ITRequired Tech Stack ExperienceAI platforms
Required
Must be able to scope, plan, and complete moderately complex projects with little direction from a manager
Must be able to write clear guidance and documentation for technical and non-technical employees
Must be able to follow data handling and security requirements when working with AI tools that access company data
Minimum Education and Experience
Bachelor’s degree in Information Systems, Computer Science, Business, or a related field, or equivalent practical experience
3+ years of experience in IT, business systems administration, or SaaS platform administration, including hands-on work with AI or enterprise search platforms
Experience supporting a distributed or remote-first workforce
Required Tech Stack Experience
AI platforms: Glean, Rovo, Claude, Gemini, and/or AWS Bedrock (experience with at least one required)
Working knowledge of Jira and Confluence
SSO and identity provider concepts as they relate to application access
Basic familiarity with APIs and connector-based integrations