Systems Administrator, Enterprise AI Platforms

Idexx•Westbrook, ID

3d•Hybrid

About The Position

IDEXX Information Technology is seeking a Systems Administrator to manage the operational foundations and integration layers of our Enterprise AI ecosystem in IT. This role is accountable for the technical health, user lifecycle, and seamless connectivity of our Enterprise AI platforms and their associated orchestration tools. You will be the primary operator of a unified AI environment, ensuring that 1000’s digital and human workers interact within a secure, governed, and high-performance framework. You will manage the "wrappers" that surround our AI agents, overseeing user onboarding, SSO identity integrity, and the complex connector architecture that bridges commercial AI systems with our core enterprise ISV systems and services. This role has an operational mandate. Success is measured by: Platform Uptime & Connector Reliability: Seamless data flow between WebChat, AI agents and ISV systems. Identity Governance: 100% compliance in automated onboarding/offboarding and entitlement management. Deployment Velocity: Efficient validation and promotion of AI agents from development handoff to production. Resolution Cycle-Time: Rapid triage and recovery of Tier 2 technical and integration failures. Operational Efficiency: Minimal friction for both technical "Pro-Code" and business "No-Code" agent builders.

Requirements

3 to 5 years of experience in ISV and Software Systems administration (e.g., Salesforce Admin, SAP Basis, ServiceNow Admin, Moveworks, or UIPath).
Bachelor’s degree in computer science, Information Technology, or experience in a related technical field is required.
Deep expertise in Identity Management (Azure AD/Entra ID) and O365 integration architecture.
Proven track record of managing enterprise-scale SaaS platforms (5,000+ seat levels).
Systems Thinking: Ability to visualize how a change in one system (e.g., SAP) impacts AI agent performance.
Technical Triage: Strong diagnostic skills across APIs, JSON payloads, and SSO handshakes.
Scripting & Automation: Proficiency in Python, PowerShell, or JavaScript (Node.js) to automate administrative tasks, manage API calls, and build lifecycle "wrappers" around the AI platforms.
Agility: Comfort working in a fast-paced "Agentic" environment where platform features evolve daily/weekly.
Collaboration: Ability to speak the language of both the "Pro-code" AI Engineer (discussing endpoints and latency) and the "No-code" Business User (discussing workflow needs).
Operational Rigor: A disciplined approach to change management, validation testing, and documentation.

Nice To Haves

Experience with Hyperscaler AI Platform vendors (Google Cloud/Vertex AI, AWS/Bedrock, or Azure AI) is highly desirable.
Prior experience implementing or managing Enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise, Gemini Enterprise, or similar LLM orchestration tools).
Relevant certifications (e.g., AWS Certified CloudOps Engineer, Google Professional Cloud Engineer, Azure Solutions Architect, or Salesforce Certified Administrator) are a significant plus.

Responsibilities

Lead the administration of our Enterprise AI platforms, managing the full user lifecycle for 1000’s of business and technical employees.
Configure and maintain SSO and Identity Management wrappers to ensure secure, role-based access to AI services.
Execute automated onboarding/offboarding workflows, ensuring AI permissions are synchronized with our O365 and corporate directory of services (changes).
Enforce enterprise-level security policies to prevent data leakage and ensure "least-privilege" access across the AI segment.
Configure, monitor, and troubleshoot enterprise connectors for key platforms such as: Salesforce (SFDC), SAP, Workday, Snowflake, Box, Atlassian and others.
Manage API secret rotation, credentialing, and authentication tokens for all ISV-embedded AI capabilities.
Monitor connector telemetry to identify and resolve latency or data-sync issues between core systems and the AI orchestration layer.
Ensure the use case models have the necessary connectivity to execute cross-functional tasks.
Partner with Enterprise AI Engineering to manage connectivity to model APIs, configurations, and endpoint deployments.
Support the deployment and validation testing of declarative AI Agents built on our Enterprise AI systems.
Maintain the technical environment for "task-agents" and multi-agent workflows, ensuring all skills and tools are correctly provisioned.
Collaborate with developers to manage "Pro-code" integration hooks and support business users in "No-code" citizen-agent creation.
Serve as the Tier 2 escalation point for our Helpdesk team, resolving complex issues related to agent failures, system irregularities, connector timeouts, and identity conflicts.
Translate ambiguous business user feedback into technical root-cause analysis for the Enterprise AI engineering team.
Maintain documentation for implementation patterns, common failure modes, and recovery procedures.