Skip to main content

Protect yourself against recruitment fraud. We are aware that unauthorized individuals may have posed as Cargill recruiters, made contact about job opportunities, and extended job offers via text message, instant message or chat rooms. To ensure a job posting is legitimate, it must be listed on the Cargill.com/Careers website. Learn how to protect yourself from recruitment fraud.

Manager, Platform Engineering, AI & Datascience

Apply Now
Job ID 308791 Date posted 07/03/2025 Location : Bengaluru, India Category  DIGITAL TECHNOLOGY AND DATA (DT&D) Job Status  Salaried Full Time

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  
    • Chair design reviews to enforce architecture standards, security controls, and cost-efficiency patterns. 
  • 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). 
    • Introduce self-service tooling that reduces manual ops toil and speeds developer onboarding. 
  • Stakeholder & Customer Engagement 
    • Partner with product managers, data-science leads, and security/compliance teams to capture requirements and set priorities. 
    • Provide transparent status updates, KPI dashboards, and quarterly roadmap demos. 
  • 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: 6 years relevant experience.

  • Typical requirement: 7–10 years total experience, with 3+ years running production MLOps/LLMOps or HPC environments and 2+ years managing engineers.

Apply Now

LinkedIn Job Matcher

Find where you fit in at Cargill. Log in to connect your LinkedIn profile and we’ll use your skills and experience to search the jobs that might be right for you.

Find Your Match

Our
stories

Learn how our purpose drives everything we do.

Learn More (Sustainable Coco)

Diversity,
Equity
& Inclusion

Our inclusive culture helps us shape the future of the world.

Learn More (Inclusion & Diversity)

Life at
Cargill

Discover how you can achieve your higher purpose with a career at Cargill. Learn More

View All of Our Available Opportunities

Thrive