Senior AI Platform FinOps Engineer

·         7+ years of experience in cloud engineering, platform operations, FinOps, infrastructure cost management, or a related technical operations discipline.

·         Strong understanding of cloud cost drivers across compute, storage, network, containers, managed services, and high-scale platform environments.

·         Experience building cost dashboards, usage reports, budget controls, or chargeback models for shared platforms or engineering organizations.

·         Strong analytical skills with the ability to connect operational telemetry to financial insights and business value.

·         Experience working with AI or data platform cost patterns, including model serving, experiment environments, storage, and retrieval workloads.

·         Ability to work closely with engineering teams on practical optimization opportunities without slowing delivery.

·         Strong communication skills and the ability to translate technical usage into actionable financial recommendations.

Preferred qualifications

·         Experience with AI cost telemetry such as token usage, prompt efficiency, inference cost, model comparison, and ROI assessment.

·         Experience with enterprise AI gateways, model catalogs, or centralized AI platform controls.

·         Experience with Databricks, ML platforms, GPU-backed environments, or platform cost governance for advanced analytics and AI workloads.

·         Experience partnering with finance, procurement, security, and platform engineering teams in enterprise operating models.