AI Administrator, Business Applications

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the administration of Glean, managing data source connectors, user access, permissions, configuration, and monitoring usage.

• Administer Rovo, ensuring agent availability, access, and settings within the Atlassian environment are properly configured.

• Configure and provide support for Projects, Skills, Gems, and agents within Claude, Gemini, and AWS Bedrock.

• Manage access groups and workspace settings for Business Applications assets and resources efficiently.

• Handle provisioning, deprovisioning, and licensing for AI platforms utilizing RBAC methods.

• Develop and maintain lower-complexity agents, Projects, Skills, and Gems tailored for business teams.

• Collect use case, data source, and access information from AI enablement requests, directing them to the suitable platform and owner.

• Establish access controls and data handling standards in collaboration with Security and IT Engineering teams.

• Verify connector permissions against source-system permissions to ensure compliance.

• Monitor the usage of AI tools to identify misuse, permission drift, and unexpected data exposure.

• Keep detailed records of AI tools, connectors, and deployed agents, including ownership, purpose, data access, and review dates.

• Track platform releases and changes, evaluate their impact on access and data handling, and communicate updates to the team.

• Create user guidance and enablement content for sanctioned AI tools.

• Provide reports on adoption rates, license utilization, and overall platform health to the Senior Manager.

• Collaborate with the Senior Engineer on complex agent and automation projects, as well as with IT Admins regarding shared platforms.

• Define and execute moderately complex projects with minimal supervision.

• Escalate intricate builds and security issues to the Senior Engineer, Security, or Senior Manager as necessary.

• Exhibit integrity, a focus on process improvement, and a commitment to customer satisfaction.

⛳️ Requirements

• Practical experience in administering at least one enterprise AI, enterprise search, or similar SaaS platform, including user management, role assignments, permissions, and integrations.

• Hands-on experience in configuring Projects, Skills, Gems, agents, or similar components on at least one of Claude, Gemini, Glean, Rovo, or AWS Bedrock.

• Knowledge of RBAC, least-privilege access principles, and source-system permissions that affect AI retrieval or exposure.

• Experience in troubleshooting connector, access, and configuration issues, with the ability to escalate them effectively with precise diagnostic information.

• Capability to scope, plan, and execute moderately complex projects with minimal guidance.

• Proficient in writing clear guidance and documentation suitable for both technical and non-technical staff.

• Ability to adhere to data handling and security protocols when working with AI tools that access company data.

• Bachelor’s degree in Information Systems, Computer Science, Business, or a related field, or equivalent practical experience.

• Over 3 years of experience in IT, business systems administration, or SaaS platform administration, particularly with AI or enterprise search platforms.

• Familiarity with supporting a distributed or remote-first workforce.

• Experience with at least one of Glean, Rovo, Claude, Gemini, or AWS Bedrock.

• Basic working knowledge of Jira and Confluence.

• Understanding of SSO and identity provider concepts for application access.

• Basic familiarity with APIs and connector-based integrations.

• Relevant certifications such as those from AWS, Atlassian, or similar are beneficial.

• Experience in fast-growing SaaS or cybersecurity environments is a plus.

🏝️ Benefits

• Equity package in the form of stock options available for all full-time positions.

• Opportunities for career development and growth.

• A collaborative and innovative workplace culture.

• Options for remote and hybrid working models based on role and location.

• Comprehensive health, vision, and dental insurance for employees and their families.

• Flexible vacation policy to promote work-life balance.

• Generous parental leave benefits.

• A commitment to an inclusive culture and diversity, equity, and inclusion initiatives.