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The Role
The Senior Software Engineer will lead the design and support of AI Assistants and automation solutions, develop scalable micro-services, and manage product requirements, focusing on reliability and efficiency.
Summary Generated by Built In
Job Purpose and Impact
The Software Engineering Senior Professional will lead the design, build, and ongoing support of complex AI Assistants, AI Agents, and automation solutions-leveraging ChatGPT‑based copilots, Copilot Studio agents, and Power Automate workflows-while adhering to Food EMEA AI CoE platform standards and guardrails. Deliverables typically span API and integration services, retrieval and vector‑search pipelines, enterprise‑scale LLMOps/AgentOps operational tooling, and intuitive front‑end experiences for both office users and plant operators.
This role will work primarily within the Food EMEA Digital Technology and Data team, owning and shaping solutions across the Food EMEA technology stack that serve Food EMEA teams and customers. In this role, you'll act as a technical leader and trusted partner to the business Product Owner, with a strong emphasis on translating complex product requirements into secure, scalable, observable, and cost‑efficient services or agents; managing the lifecycle from experiment to production; and proactively driving improvements in reliability, latency, and cost.
Key Accountabilities
Qualifications
The Software Engineering Senior Professional will lead the design, build, and ongoing support of complex AI Assistants, AI Agents, and automation solutions-leveraging ChatGPT‑based copilots, Copilot Studio agents, and Power Automate workflows-while adhering to Food EMEA AI CoE platform standards and guardrails. Deliverables typically span API and integration services, retrieval and vector‑search pipelines, enterprise‑scale LLMOps/AgentOps operational tooling, and intuitive front‑end experiences for both office users and plant operators.
This role will work primarily within the Food EMEA Digital Technology and Data team, owning and shaping solutions across the Food EMEA technology stack that serve Food EMEA teams and customers. In this role, you'll act as a technical leader and trusted partner to the business Product Owner, with a strong emphasis on translating complex product requirements into secure, scalable, observable, and cost‑efficient services or agents; managing the lifecycle from experiment to production; and proactively driving improvements in reliability, latency, and cost.
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 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
- Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.
Skills Required
- Minimum 4 years of relevant work experience.
- Experience with cloud-native AI/ML or GenAI systems.
- Experience with Python in developing scalable micro-services.
- Experience with digital technologies in commercial management capabilities.
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 — Cargill offers immediate 401(k) eligibility with a defined employer match, alongside additional vehicles such as an ESOP and company-supported tools for savings. Feedback suggests these features make long-term retirement readiness a strong part of the total package.
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Leave & Time Off Breadth — Paid time off scales meaningfully with tenure on a clear annual cycle, and paid family leave covers both bonding with a new child and caregiving needs. Feedback suggests the combined PTO and leave programs compare favorably with common large-employer offerings.
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Parental & Family Support — Adoption and surrogacy reimbursement, Bright Horizons childcare solutions, and Milk Stork complement the paid family leave program. These resources indicate a family-forward design that supports key life events and caregiving logistics.
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
