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Job Purpose and Impact

The Senior AI Platform Engineer for AI Ops in AI & Data Science designs, builds and operates the shared MLOps / LLMOps platform that powers Cargill’s data-science and GenAI products. You will own CI/CD pipelines for data ingestion, model training, evaluation and deployment; automate GPU/CPU orchestration across clouds; and embed Responsible-AI, observability and cost-optimization into every stage of the lifecycle. Success is measured by model-to-production velocity, platform uptime, and total-cost-of-ownership improvements 

Key Accountabilities

• Design & Build  

• • • Develop multi-agent workflow automation patterns using Agentic AI 

• • • Process redesign and mapping to agentic workflow patterns 

• • • Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python). 

• • • Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents 

• Platform Ops 

• • • Extend evaluation, automated testing, canary rollout, and rollback for AgentOps. 

• • • Profile inference latency, GPU/CPU utilization, and memory; deliver quarterly cost-to-serve reductions  

• Operational Excellence  

• • • Own on-call runbooks, SLOs, and incident reviews; embed observability.

• Enablement & Mentoring 
  • • Coach full-stack and data-science peers on GenAI/LLMOps patterns; create internal workshops and tech blogs.

Qualifications