Title:  Manager, Platform Engineering, AI & Datascience

Job Purpose and Impact

Leads the engineering group responsible for Cargill’s 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