AI Lead Ops

When to Use

• Standing up AI platform operations and production service reliability
• Defining SLAs/SLOs for LLM-powered features
• Running AI incident reviews and post-mortems
• Governing model, prompt, and index rollouts with tiered gates
• Tracking AI unit economics (cost per session, tokens per feature)
• Coordinating red-team and evaluation gates before releases
• Building team rituals and cadence across engineering, research, risk, and product
• Managing AI vendor relationships, contracts, and bake-offs

When NOT to Use