Lead Engineer

About the role

As a Lead AI Platform FinOps Engineer, you will own the cost and consumption management layer of the AI platform. You will partner across platform engineering, data, security, finance, and product teams to make AI usage measurable, governable, efficient, and aligned to business value. This role covers model and token cost tracking, chargebacks, budget controls, cost observability, environment efficiency, and financial governance for AI platform services.

What you'll do

• Build cost transparency across AI platform services, including model usage, token consumption, infrastructure spend, storage, retrieval, and inference operations
• Design and operate usage-based chargeback and showback models for teams, products, and business units consuming AI platform services
• Define and monitor budgets, s, thresholds, and anomaly detection for model usage, gateway consumption, and platform operating costs
• Partner with platform teams to optimize cost across model routing, failover strategies, semantic caching, autoscaling, storage tiers, and environment utilization
• Develop dashboards and reporting that connect AI platform spend to business outcomes, token efficiency, reliability, and adoption metrics

What you need

• 7–10 yrs of experience
• Any graduate

Good to have

• Machine learning
• Databricks