AI Operations Lead

About the role

The AI Operations Lead owns how AI runs at QAD after go-live. You will run AI FinOps (where the money goes, whether it is worth it, and how to keep spend inside budget), build the observability that tells us when an agent is drifting, failing or getting expensive, and stand up the operational support model that colleague across the business rely on when something breaks or they need help.

What you'll do

• AI FinOps and consumption governance
• Own AI spend end to end across licences, usage-based model consumption, cloud inference and partner run costs: forecast, budget
• Run the entitlement and consumption model: persona caps, top-ups and tier upgrades
• Make unit economics visible for every live workflow (cost per transaction, per user and per outcome) and work with the architect on routing
• Most overspend is a frontier model doing routine work

What you need

• 15–27 yrs of experience
• Machine learning
• LLMs
• AWS
• PRD writing
• ITIL
• GCP
• Any graduate

Good to have

• SQL
• Python
• Office 365
• ERP
• Datadog
• Azure