Manager, Platform Engineering, AI & Datascience
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.
Job-Matcher auf LinkedIn
Finden Sie Ihren Platz bei Cargill. Melden Sie sich an, um Ihr LinkedIn-Profil zu verlinken, und wir nutzen Ihre Fähigkeiten und Erfahrungen, um die Stellen zu suchen, die für Sie geeignet sein könnten.
Nachhaltiger Kakao
Das Kakaoversprechen von Cargill dient der Sicherung einer blühenden Kakaobranche über Generationen hinweg.
Inklusion und Diversität
Unsere integrative Kultur hilft uns, die Zukunft der Welt zu gestalten.
Leben bei
Cargill
Entdecken Sie, wie Sie mit einer Karriere bei Cargill Ihr höheres Ziel erreichen.
Weitere Informationen (Leben bei Cargill)