Role Purpose
The AI Engineer will help manage the organization's AI technology estate end-to-end — from platform administration and licensing through to usage monitoring, cost control, and governance. This is a highly technical, operationally-focused role suited to someone who enjoys managing infrastructure and data-driven reporting, ensuring the business gets maximum value and control from its AI tools while keeping usage secure, compliant, and cost-effective.
Key Responsibilities
Administer the organization's AI platforms and tools (e.g., Claude, ChatGPT Enterprise, Microsoft Copilot, or equivalent), including user provisioning, seat/license management, and access controls.
Manage the full lifecycle of AI licensing: seat allocation across teams, and right-sizing licenses (e.g., Standard vs. Premium seats) based on actual usage patterns.
Monitor and report on AI usage and spend across the organization, building dashboards and regular reports for leadership on adoption, cost, ROI, and utilization trends.
Set and manage spend limits, usage policies, and cost controls at the organizational and user level to prevent budget overruns.
Configure and maintain integrations, connectors, and admin settings (SSO, SCIM, audit logs, data retention policies) across AI platforms.
Act as the internal point of contact for AI platform troubleshooting, access issues, and vendor support escalations.
Maintain an accurate inventory (the "AI estate") of all AI tools, licenses, connectors, and integrations in use across the business, including shadow IT discovery where relevant.
Evaluate new AI tools, features, and licensing models as they become available, and make recommendations on adoption or consolidation.
Ensure AI tool usage aligns with the organization's security, data governance, and compliance requirements.
Required Skills & Experience
3+ years of experience in IT administration, systems/platform management, or a similar technical operations role.
Hands-on experience managing SaaS platform administration (user provisioning, licensing, SSO/SCIM configuration) — experience with AI platforms (Anthropic Claude, OpenAI/ChatGPT Enterprise, Microsoft Copilot, Google Gemini, etc.) strongly preferred.
Strong analytical skills, with experience building usage/cost reports and dashboards (Excel, Power BI, or similar).
Familiarity with API-based usage billing models and cost management practices.
Understanding of enterprise IT governance concepts: SSO, audit logs, data retention, access controls.
Excellent communication skills, with the ability to translate technical usage data into business-relevant insights for non-technical stakeholders.
Experience working with vendor account management/support teams for renewals, escalations, and contract queries.
A proactive, detail-oriented approach to license optimization and cost control.
Preferred / Nice to Have
Prior experience specifically administering an enterprise AI platform (e.g., Claude for Enterprise, Microsoft Copilot, OpenAI Enterprise).
Basic scripting/data skills (Python, SQL) for usage data analysis and automated reporting.
Exposure to IT asset management (ITAM) or software asset management (SAM) practices.
Relevant certifications (ITIL, cloud platform certifications, or vendor-specific admin certifications).
Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).
About Us
From the day we opened our doors, MRI Software has built flexible, game-changing real estate software that powers thriving communities and helps make the world a better place to live, work and play. Fulfilling that mission is only possible because of one thing: exceptional people. People like you!
Our people-first approach to PropTech is defining a new industry standard for client experiences that, quite frankly, can’t be duplicated. Experiences that deliver real value every day. And we know those experiences begin with our people.
We believe MRI is…