FinOps, AI and GenAI Analyst
Core
Govern and optimize costs for large language models (LLMs) and GenAI usage within a Databricks cloud environment, ensuring efficient resource use and financial traceability.
Role type
FinOps and LLMOps Analyst
Builds
Cost governance frameworks, metrics, and optimization strategies for AI workloads
Domain
Cloud computing (Databricks) + Generative AI + Financial Operations
Deliverable
production ML models | infrastructure
Required skills
FinOps principles, cloud cost optimization, financial governance mechanisms, LLM/GenAI cost drivers (tokens, embeddings, pipelines), Databricks proficiency, Python, PySpark
Preferred skills
Azure Databricks certification, architecture decision support
Technologies
Databricks, Python, PySpark
Responsibilities
Define FinOps practices for LLMs/GenAI, ensure cost visibility via tagging and allocation, optimize inference/training/storage costs, implement performance-efficiency indicators, establish LLMOps practices, support data/AI teams with financial impact analysis
Seniority
Mid-level, hands-on IC
