Job Description

Job Purpose and Impact

  • The AI Platform FinOps Sr. Engineer enables cost visibility, financial accountability, and optimization of AI/ML workloads across Cargill’s hybrid technology landscape.

    This role combines AI platform knowledge, data engineering, and FinOps practices to establish token economics, unit cost models, and cost guardrails, enabling informed trade‑offs between cost, performance, and scale as AI adoption accelerates.

    The position plays a critical role in advancing FinOps into a Technology Economics capability across AI, cloud, and data platforms.

    • Key Accountabilities

  • AI Cost Visibility & Token Economics- Establish and operationalize cost models (token, model, agent level) and enable enterprise‑level AI cost transparency 
  • Cost Optimization & Guardrails- Identify optimization levers (model selection, token efficiency, workload sizing) and define cost guardrails for AI workloads 
  • Platform...

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