FinOps AI & Optimization Practitioner
Core
Enable financial transparency, accountability, and optimization across cloud, on-premises, and AI services by aligning usage, performance, risk, and business value.
Role type
FinOps AI & Optimization Practitioner
Builds
Cost-efficient and accountable technology adoption for engineering, finance, procurement, operations, product teams, and business stakeholders
Domain
Cloud cost management, AI/ML infrastructure, IT finance
Deliverable
dashboards & analysis
Required skills
Cloud cost management, AI cost modeling (tokens/inference/GPU), budgeting & forecasting, stakeholder enablement, change management, data analytics
Preferred skills
AI cost drivers (vector DBs, SaaS licensing), FinOps/AI certifications
Technologies
Azure, Google Cloud, GPU/TPU, vector databases, SaaS AI platforms
Responsibilities
Drive cost optimization across cloud/on-prem/AI services; Establish FinOps for AI practices (visibility, allocation, forecasting); Equip and train stakeholders on FinOps practices; Ensure reliable cost management tooling and reporting; Identify and report cost opportunities/risks; Manage commitment-based savings instruments; Support budgeting, forecasting, and business case creation; Define and track KPIs for accountability and value realization
Seniority
Mid-Senior, hands-on IC