drjobs Senior Professional, AI & Data Science- AI Platform Engineer

Senior Professional, AI & Data Science- AI Platform Engineer

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1 Vacancy
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Job Location drjobs

Minneapolis, MN - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Cargills 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 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 160000 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 Cargills 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 platforms 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);
  • Lead on-call runbook reviews and post-incident retrospectives.
  • 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.
  • Keep SOPs change-records and compliance evidence current; propose tooling or workflow changes that reduce toil and support audit readiness.

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.

#LI-AB4
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Equal Opportunity Employer including Disability/Vet.


Required Experience:

Senior IC

Employment Type

Full-Time

Company Industry

About Company

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