Manager, Platform Engineering, AI & Datascience
Manager, Platform Engineering, AI & Datascience
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Job Description
Job Purpose and Impact
Leads the engineering group responsible for Cargills Agentic-Process-Automation (APA) platform and automation services. The team designs and operates shared services (orchestration runtime tool-calling API prompt-evaluation pipelines) and helps ship high-value AI Assistants / workflow agents that automate finance supply-chain R&D processes and others. Success is measured by automation value delivered (hours saved $ impact) developer adoption of platform services system reliability and team engagement.
Key Accountabilities
- Road-mapping & Portfolio: Own unified roadmap for core APA services and domain automations; prioritize by ROI risk and reuse
- Architecture & Development: Guide scalable orchestration runtimes SDKs CLI tools and plug-in marketplaces for citizen developers
- Delivery & Optimization: Run discovery sprints with business owners launch Minimum Viable Agents iterate via A/B tests and time-motion studies
- Governance & Compliance: Chair design reviews; set SLOs; enforce audit logging data-residency and Responsible-AI policies
- Enablement & Engagement: Provide templates pipelines and workshops; maintain KPI dashboards and serve as escalation point
- Team Leadership: Coach engineers set objectives and foster a culture of experimentation and knowledge sharing
Qualifications
Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
7 10 years total including 1 years delivering production AI-assistant / agentic-automation solutionsand 2 years managing engineers or cross-functional delivery teams.
Required Experience:
Manager
Employment Type
Full-Time
