Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
Job Purpose and Impact
The Senior AI Platform Engineer for AI Assistants & AI Agents keeps Cargill's enterprise AI-assistant platform (ChatGPT Enterprise, M365 Copilots, agentic-automation runtime) safe, up-to-date, and high-performing. You will own configuration management, version upgrades, license / quota governance, user-onboarding flows, and first-line SRE for the platform's core services and audit pipelines. Success is measured by zero unplanned downtime during upgrades, 99.9 % platform availability, audit-ready compliance artefacts, and positive NPS from user & builder teams.
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Key Accountabilities
- Plan, test, and execute rolling upgrades of LLM runtimes, agent-orchestration frameworks, and supporting services
- Enforce IAM, secrets-rotation, data-classification, and Responsible-AI guardrails;
- Track license usage and optimise spend.
- Instrument Service Level Indicators (SLIs) (auth latency, inference success-rate) and uphold Service Level Objectives (SLOs);
- Analyze GPU/CPU utilisation, prompt accuracy, evaluation frameworks, vector-search query latency, and agent throughput;
- Implement auto-scaling policies, caching, and cost-control dashboards.
- Develop concise how-to guides and live workshops that upskill product squads on safe prompt engineering, RAG patterns, and platform APIs.
Qualifications
- Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
Preferred Qualifications:
- Typical requirements of 6 years in management and administration of Enterprise AI SaaS applications.
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Equal Opportunity Employer, including Disability/Vet.