AI FinOps Engineer
Core
Drive cost-effective, scalable, and well-governed adoption of AI across the firm by managing spend, optimizing resources, and establishing financial discipline for AI workloads.
Role type
Senior IC AI FinOps Engineer
Builds
Cost transparency dashboards, forecasting models, governance standards, and optimization strategies for AI infrastructure.
Domain
Financial Services / Cloud Financial Operations / AI Infrastructure
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
FinOps, cloud engineering, LLM pricing mechanics, cloud cost management, Python/SQL, AI/ML workload patterns, cloud platform expertise (AWS/Azure), observability tools, data analytics
Preferred skills
Generative AI/LLM workload support, enterprise AI platforms (Databricks/Snowflake), GPU utilization economics, enterprise tagging/cost allocation, financial services experience, cloud/FinOps certifications
Technologies
AWS, Azure, Databricks, Snowflake, SageMaker, Azure ML, Python, SQL
Responsibilities
Develop and maintain cost transparency for AI/ML workloads (compute, storage, networking, training, inference); Create reporting dashboards and KPIs to track AI spend and efficiency; Analyze workload consumption patterns to recommend optimization strategies (model selection, GPU sizing, scheduling, storage lifecycle); Build forecasting and budgeting models for AI platform usage; Automate cost management processes using scripting and IaC; Partner with Finance/Procurement on vendor evaluation and contract planning.
Seniority
Senior, hands-on IC
