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Top Skills:
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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.
Key Accountabilities
Qualifications
Preferred Qualifications:
#LI-AB4
#FGB
#TheMuse
Equal Opportunity Employer, including Disability/Vet.
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.
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 administration of Enterprise AI SaaS applications.
#LI-AB4
#FGB
#TheMuse
Equal Opportunity Employer, including Disability/Vet.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
