Cargill needs to keep its enterprise AI-assistant platform (ChatGPT Enterprise, M365 Copilots, agentic-automation runtime) safe, up-to-date, and high-performing.
Requirements
- Minimum requirement of 4 years of relevant work experience.
- Typical requirements of 6 years in administration of Enterprise AI SaaS applications.
Responsibilities
- 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.
Other
- Success is measured by zero unplanned downtime during upgrades, 99.9 % platform availability, audit-ready compliance artefacts, and positive NPS from user & builder teams.
