AI FinOps Engineer

Key Responsibilites

• Maintain centralized framework for Azure AI & GenAI cost tracking
• Enforce governance, tagging, and cost attribution standards
• Build dashboards, alerts, and executive reporting for budgets & anomalies
• Partner with ML/LLMOps teams to monitor training, deployment, and token usage
• Identify optimization opportunities and champion FinOps best practices

Key Requirements

• Bachelor's in Computer Science/Engineering or related field
• 1–3 years in cloud administration/operations
• Knowledge of Azure services (Cost Management, Monitor, Databricks)
• Proficiency in Python, SQL, PySpark; BI tools (Power BI, Grafana)
• Familiarity with IaC tools (Terraform, Bicep, ARM)
• Hands-on FinOps experience: budgeting, forecasting, anomaly detection
• Strong communication & problem-solving mindset