AI FinOps Engineer
Core
Own the token economics and cost optimization engine for Enterprise AI platforms, focusing on reducing organizational costs without degrading capability.
Role type
AI FinOps Engineer (LLM cost optimization)
Builds
Token-level cost models, optimization dashboards, and org-wide best practices for AI enablement
Domain
Enterprise AI / Large Language Model (LLM) operations / FinOps
Deliverable
production ML models | dashboards & analysis
Required skills
LLM API token-level optimization, LLM pricing mechanics (context windows, caching, batching), prompt engineering for efficiency, Python, SQL
Preferred skills
Production prompt caching, model-tier switching, Cloud FinOps background, FinOps Foundation certification, multi-provider LLM cost tradeoff analysis
Technologies
Anthropic Claude, OpenAI, Python, SQL
Responsibilities
Track and model token costs across Enterprise AI platforms; Define and document token optimization best practices; Build dashboards for usage trends and cost anomalies; Identify waste and implement model/tier changes to quantify savings
Seniority
Mid-level, hands-on IC
