Manager, Platform Engineering, AI & Data Science
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 Manager for AI Platform Engineering leads the team that designs, builds, and operates Cargill’s enterprise AI-Ops platform—covering MLOps, LLMOps/GenAIOps, HPC scheduling, and optimisation services (e.g., Gurobi, RStudio Workbench). You will own the platform roadmap, allocate people and budget, drive project delivery, and embed best-in-class reliability, security, and compliance practices. Success is measured by platform uptime, model-to-production velocity, cost-to-serve trends, and team engagement.
Key Accountabilities
Platform Ownership & Road-mapping
- Define and maintain the technical roadmap for MLOps, LLMOps, HPC, and optimization tooling
- Oversee the portfolio of AI-Ops projects; align scope, schedule, and budget to business objectives.
Technical Guidance & Governance
- Champion infrastructure-as-code, GitOps, and CI/CD pipelines
Quality, Reliability & Compliance
- Set and monitor SLIs/SLOs for training, inference, and optimization services; lead post-incident reviews.
- Ensure Responsible-AI guardrails, data-privacy, and license-management policies are implemented.
Process Improvement & Automation
- Drive continuous-improvement initiatives (test-driven development, auto-scaling policies, cost dashboards).
Stakeholder & Customer Engagement
- Partner with product managers, data-science leads, and security/compliance teams to capture requirements and set priorities.
Team Management & Talent Development
- Set performance objectives, conduct regular feedback and coaching sessions, and create growth plans.
- Foster an inclusive culture that values experimentation, blameless post-mortems, and knowledge sharing
Qualifications
- Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
Preferred:
- 3+ years running production MLOps/LLMOps or HPC environments
- 2 + years managing engineers or cross-functional delivery teams
Equal Opportunity Employer, including Disability/Vet.
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우리의 위치
우리는 전 세계 70개국 이상의 국가에서 고객과 지역사회에 기여하는 것을 자랑 스럽게 생각 합니다. 전 세계 카길 직원들은 안전하고 책임감 있으며, 지속 가능한 방식으로 세상을 풍요롭게 하는데 공헌 하고 있습니다. 우리와 함께 하여 카길에서의 경력이 여러분의 더 높은 목표 달성에 어떤 도움이 되는지 알아 보십시오.