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Reimagining what's possible for food and agriculture
The Role
Lead the design, build, and support of AI Assistants and automation solutions, ensuring reliable and efficient AI workflows while collaborating across teams.
Summary Generated by Built In
Job Purpose and Impact
The Software Engineering Professional will lead the design, build, and ongoing support of AI Assistants, AI Agents, and automation solutions-leveraging ChatGPT‑based copilots, Copilot-Studio-Onboarding--Building,-Testing,-and-Deploying-AI-Agents-for-Maximum-Value-at-Cargill agents, and Power Automate workflows-while adhering to AI CoE platform standards and guardrails. Deliverables typically span API and integration services, retrieval and vector-search pipelines, LLMOps/AgentOps operational tooling, and intuitive front-end experiences for both office users and plant operators.This role will work primarily within our Food EMEA Digital Technology and Data team and assist with solutions for our technology stack servicing our Food EMEA team and Customers. In this role, you'll have a strong partnership with the business Product Owner with an emphasis on translating product requirements into secure, efficient, and observable services or agents, manage the lifecycle from experiment to production; and continually improve reliability, latency, and cost. You will work as part of a product team to ensure the digital products outputs of the team maximize value and drive efficiency, consistency, and digitally connected experiences for commercial teams and customers. Expect to collaborate outside of the product team with other product managers, AI Center of excellence, cloud engineers, and security teams across the digital and technology and data ecosystem.
Key Accountabilities
Qualifications
The Software Engineering Professional will lead the design, build, and ongoing support of AI Assistants, AI Agents, and automation solutions-leveraging ChatGPT‑based copilots, Copilot-Studio-Onboarding--Building,-Testing,-and-Deploying-AI-Agents-for-Maximum-Value-at-Cargill agents, and Power Automate workflows-while adhering to AI CoE platform standards and guardrails. Deliverables typically span API and integration services, retrieval and vector-search pipelines, LLMOps/AgentOps operational tooling, and intuitive front-end experiences for both office users and plant operators.This role will work primarily within our Food EMEA Digital Technology and Data team and assist with solutions for our technology stack servicing our Food EMEA team and Customers. In this role, you'll have a strong partnership with the business Product Owner with an emphasis on translating product requirements into secure, efficient, and observable services or agents, manage the lifecycle from experiment to production; and continually improve reliability, latency, and cost. You will work as part of a product team to ensure the digital products outputs of the team maximize value and drive efficiency, consistency, and digitally connected experiences for commercial teams and customers. Expect to collaborate outside of the product team with other product managers, AI Center of excellence, cloud engineers, and security teams across the digital and technology and data ecosystem.
Key Accountabilities
- Develop multi-agent workflow automation patterns using Agentic AI
- Process redesign and mapping to agentic workflow patterns
- Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).
- Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents
- Profile inference latency, GPU/CPU utilization, and memory
- Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions
- Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents
- Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.
- Own on-call runbooks, SLOs, and incident reviews; embed observability
- Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.
- Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.
- Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.
- Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.
- Experience with digital technologies in the commercial & sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)
Qualifications
- Minimum requirement of 2 years of building production software or data platforms.
- Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.
Skills Required
- Minimum requirement of 2 years of building production software or data platforms
- Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Retirement Support — Feedback suggests the 401(k) with immediate eligibility, a clear company match paid quarterly in company stock, and employer-funded retirement components (e.g., ESOP/ERA) offer strong long-term savings value. Vesting timelines are defined, supporting predictable planning.
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Leave & Time Off Breadth — Feedback suggests PTO scales from 15 to 30 days with service and follows a clear June 1–May 31 plan year. Standard holidays and floating days further expand time away options.
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Parental & Family Support — Feedback suggests up to 6 weeks paid bonding leave and 4 weeks for family care, adoption/surrogacy reimbursement up to $10,000, and resources like Bright Horizons and Milk Stork provide meaningful support for families. Eligibility on a 12‑month cadence with FMLA‑style requirements increases practical usability.
Cargill Insights
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
