AI Engineer II

About this role

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 ...