Lead the engineering group for the APA platform, focusing on automation services, team leadership, architecture, delivery optimization, and governance.
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
Qualifications
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.
Top Skills
AI
APIs
Automation Services
Data Science
Sdks
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