AI Administrator, Business Applications
New
H
Horizon3Cybersecurity
US, RemoteFull-TimeMiddle
SalaryBase salary range: $115,000- $151,000 annually. Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.
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Job Details
- Experience
- 3+ years of experience in IT, business systems administration, or SaaS platform administration, including hands-on work with AI or enterprise search platforms
- Required Skills
- JiraConfluence
Requirements
- Have hands-on experience administering at least one enterprise AI, enterprise search, or comparable SaaS platform, including users, roles, permissions, and integrations.
- Have hands-on experience configuring Projects, Skills, Gems, agents, or similar on at least one of Claude, Gemini, Glean, Rovo, or AWS Bedrock.
- Understand RBAC, least-privilege access, and how source system permissions affect what an AI tool can retrieve or expose.
- Have experience troubleshooting connector, access, and configuration problems and escalating them with clear diagnostic detail.
- Be able to scope, plan, and complete moderately complex projects with little direction from a manager.
- Be able to write clear guidance and documentation for technical and non-technical employees.
- Be able to follow data handling and security requirements when working with AI tools that access company data.
- Have a bachelor’s degree in Information Systems, Computer Science, Business, or a related field, or equivalent practical experience.
- Have 3+ years of experience in IT, business systems administration, or SaaS platform administration, including hands-on work with AI or enterprise search platforms.
- Have working knowledge of Jira and Confluence.
- Have knowledge of SSO and identity provider concepts as they relate to application access, and basic familiarity with APIs and connector-based integrations.
- Have experience supporting a distributed or remote-first workforce.
Responsibilities
- Administer Glean data source connectors, user access, permissions, configuration, and usage monitoring.
- Administer Rovo agent availability, access, and settings within the Atlassian environment.
- Configure and support Projects, Skills, Gems, and agents in Claude, Gemini, and AWS Bedrock, including access groups and workspace settings.
- Manage AI platform provisioning, deprovisioning, and licensing using role-based access control.
- 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 appropriate platform and owner.
- Implement AI access controls and data handling standards with Security and IT Engineering, checking connector permissions against source system permissions.
- Monitor AI tool usage for misuse, permission drift, and unexpected data exposure, and escalate concerns.
- Maintain records of AI tools, connectors, and deployed agents, including owner, purpose, data access, and review date.
- Track platform releases, communicate changes, write user guidance, and report adoption, license utilization, and platform health.
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