Job Summary

Join our Digital Workplace team as part of a new AI Operations function. We are hiring two dedicated specialists to jointly manage the end-to-end lifecycle of third-party AI tools (e.g. Microsoft 365 Copilot, Anthropic Claude) for the enterprise. These roles will ensure smooth integration, proactive support, license optimization, and compliance of AI services across their lifecycle from intake, operations, evaluation and procurement to daily operations through retirement.

Job Duties

- AI Tool Lifecycle Management: Oversee intake, evaluation, onboarding, and decommissioning of third-party AI solutions. Coordinate vendor engagement for new AI tool requests, renewals, and upgrades to ensure smooth adoption and contract compliance.
- License Procurement & Administration: Manage procurement of AI software licenses and subscriptions, track entitlements, and administer license allocations. Monitor usage and ensure license compliance, timely renewals, and cost-effective utilization.
- AI Agent Lifecycle & Deployment: Administer AI agent” solutions (e.g. chatbots, Copilot plugins) including creation, configuration, deployment, regular updates, and eventual retirement. Maintain efficient AI agent operations aligned with security and performance standards.
- Operational Support & Issue Resolution: Provide hands-on technical support for enterprise AI tools. Triage and resolve incidents, bugs, and user issues – for example, troubleshooting Microsoft Copilot errors or AI feature malfunctions in Microsoft 365. Manage service requests and escalate complex problems to vendors or development teams as needed.




- Utilization Monitoring & Cost Optimization: Continuously monitor AI tool usage and performance metrics. Analyze consumption patterns and costs, then implement optimizations or user guidance to maximize value and efficiency of AI services within budget.
- Reporting & Metrics: Develop dashboards and regular reports on AI tool utilization, service performance, and support metrics (e.g. incident volumes, resolution times, license utilization). Present insights to management, highlighting ROI and improvement opportunities.
- Governance & Compliance: Enforce AI usage governance policies, security standards, and risk controls. Ensure third-party AI solutions comply with enterprise data protection, privacy, and compliance requirements. Lead periodic audits and risk assessments of AI tool usage.
- Configure and support AI Agent capabilities and related administrative settings
- Evaluate new features and configuration options; assess downstream impacts of change prior to enablement
- Support testing and validation of configuration changes prior to production enablement
- Maintain repeatable intake and support processes for third-party AI solution administration requests




- Provide clear stakeholder communication regarding configuration changes, impacts, and resolution status
- Other duties as required

Qualifications, Knowledge, Skills, and Abilities

Education:

- Bachelor’s degree in information technology, Information Systems, Computer Science, or related field, preferred

Experience:

- 5–8 years of relevant experience, required (enterprise SaaS administration, licensing, and configuration ownership)
- 2+ year supporting AI solutions (Copilot/Copilot Studio and/or other enterprise AI tooling), required (can be concurrent with the above)

Software

- Experience in atleast 2 of the following, required:
- Microsoft Copilot
- Copilot Studio
- Microsoft 365 Admin Center (with emphasis on Copilot/Copilot Studio administration)

- Experience in the following, preferred:

- ServiceNow
- Claude AI (enterprise platforms and/or AI-related solutions)
- OpenAI ChatGPT Enterprise

Language(s)

- English

Other Knowledge, Skills, & Attributes

- Solid understanding of license management concepts, access controls, and administrative governance
- Ability to perform technical deep dives and translate configuration options into practical recommendation
- Licensing & Vendor Management: Experience in software license management, procurement negotiations, or dealing with third-party SaaS vendors is a plus.
- AI Tools & Platform Exposure: Prior exposure to multiple AI platforms or enterprise tools (e.g. Azure OpenAI, OpenAI APIs, Google AI) and knowledge of AI governance frameworks or ethical AI practices.

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