FinOps Analyst focusing on cost governance for AI solutions in a cloud environment. Joining a team dedicated to optimizing resources and financial impacts in a hybrid setup.
Responsibilities
Define and develop FinOps practices for LLMs and GenAI use in Databricks (frameworks, standards, metrics)
Ensure visibility and proper cost allocation for AI usage (tagging, showback, chargeback)
Optimize inference, training and storage costs by identifying technical drivers (model selection, data volumes, architecture)
Implement indicators that combine operational performance and financial efficiency (cost per use, cost per product, value generated)
Establish LLMOps practices to ensure responsible, controlled resource use
Support data and AI teams in their technical decisions by consistently integrating financial impact
Contribute to architecture decisions by bringing a cost, sustainability and governance perspective
Requirements
Bachelor’s degree in computer science, software engineering, AI or a related field
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