AI Administrator, Business Applications

🔥 38 minutes ago

🇺🇸 United States – Remote

💵 $115k - $151k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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Logo of Horizon3.ai

Horizon3.ai

51 - 200 employees

Founded 2019

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Horizon3. ai is a cybersecurity company that specializes in autonomous penetration testing through its platform, NodeZero. The company's mission is to proactively identify and address attack vectors before they can be exploited, allowing organizations to continuously assess their security posture across various environments including cloud, IoT, and on-premises systems. Founded by veterans from the US Special Operations and National Security sectors, Horizon3. ai offers a self-service SaaS solution that provides organizations with insights into their security vulnerabilities without requiring persistent or credentialed agents.

📋 Description

• Administer Glean, including data source connectors, user access, permissions, configuration, and usage monitoring • Administer Rovo, including agent availability, access, and settings within the Atlassian environment • Configure and support Projects, Skills, Gems, and agents in Claude, Gemini, and AWS Bedrock • Manage access groups and workspace settings for Business Applications assets and resources • Manage provisioning, deprovisioning, and licensing for AI platforms using RBAC • Build and maintain lower-complexity agents, Projects, Skills, and Gems for business teams • Gather use case, data source, and access details from AI enablement requests and route them to the appropriate platform and owner • Implement access controls and data handling standards with Security and IT Engineering • Check connector permissions against source-system permissions • Monitor AI tool usage for misuse, permission drift, and unexpected data exposure • Maintain records of AI tools, connectors, and deployed agents, including owner, purpose, data access, and review date • Track platform releases and changes, assess impacts on access and data handling, and communicate them to the team • Write user guidance and enablement content for approved AI tools • Report on adoption, license utilization, and platform health to the Senior Manager • Work with the Senior Engineer on complex agent and automation builds and with IT Admins on shared platforms • Scope and complete moderately complex projects with little direction • Escalate complex builds and security concerns to the Senior Engineer, Security, or Senior Manager • Demonstrate integrity, process improvement, and customer satisfaction

🎯 Requirements

• Hands-on experience administering at least one enterprise AI, enterprise search, or comparable SaaS platform, including users, roles, permissions, and integrations • Hands-on experience configuring Projects, Skills, Gems, agents, or similar on at least one of Claude, Gemini, Glean, Rovo, or AWS Bedrock • Understanding of RBAC, least-privilege access, and source-system permissions affecting AI retrieval or exposure • Experience troubleshooting connector, access, and configuration problems and escalating them with clear diagnostic detail • Ability to scope, plan, and complete moderately complex projects with little direction • Ability to write clear guidance and documentation for technical and non-technical employees • Ability to follow data handling and security requirements when working with AI tools accessing company data • 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 • Experience with at least one of Glean, Rovo, Claude, Gemini, or AWS Bedrock • Working knowledge of Jira and Confluence • Knowledge of SSO and identity provider concepts for application access • Basic familiarity with APIs and connector-based integrations • Relevant certifications such as AWS, Atlassian, or similar are advantageous • Experience in high-growth SaaS or cybersecurity companies is advantageous

🏖️ Benefits

• Equity package in the form of stock options for all full-time roles • Career development opportunities • Collaborative and innovative work environment • Remote and hybrid work models depending on role and location • Health, vision, and dental insurance for employees and their families • Flexible vacation policy • Generous parental leave • Inclusive culture and commitment to diversity, equity, and inclusion

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