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
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 solutions and 2 + years managing engineers or cross-functional delivery teams.
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