DESCRIPTION

Seasoned professional
individual contributor. Works independently with limited supervision on end‑to‑end
software delivery for production‑grade AI assistants, GenAI applications, and
other solutions. Problems faced are difficult (i.e. require significant effort)
and often complex (i.e. involve multiple layers and components to solve). May
coach and review the work of other professionals and influences others within
the job area regarding policies, practices, and procedures, through explanation
of facts, policies, and practices.

JOB
SUMMARY

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.

ESSENTIAL
FUNCTIONS

·
Design
& Build/Development & Support

o
Develop multi-agent workflow automation
patterns using Agentic AI

o
Process redesign and mapping to agentic
workflow patterns

o
Architect scalable micro-services that wrap
LLM/RAG/Agent workflows (Python).

o
Implement robust prompt-engineering patterns,
retrieval pipelines, and caching for AI Assistants and AI Agents

o
Profile inference latency, GPU/CPU
utilization, and memory

o
Writes and maintains highly complex unit
tests and integration tests, and performs debugging to maintain the quality and
performance of the software/AI solutions

o
Lead bug-fix, security-patch, and
performance-tuning sprints for live AI Assistants and AI Agents

o
Leads the establishment and maintenance of
comprehensive documentation for agents, applications, deployment processes and
system configurations.

·
Operational
Excellence

o
Own on-call runbooks, SLOs, and incident
reviews; embed observability

o
Leads and mentors technical support and
troubleshooting for highly complex issues with deployed applications to ensure
minimal downtime and fast resolution.

·
Collaboration &
Leadership

o
Leads cross functional team of engineers to
gather requirements and deliver solutions that meet business needs.

o
Experience working within product and agile
delivery frameworks including backlog management and cross-functionality
delivery and full E2E engineering.

o
Experience with enterprise architecture, data
governance, or security standards in the context of digital solution
delivery as part of E2E engineering and solution architecture.

·
Capability
& Technology Stack Exposure

• 
  Experience with digital
  technologies in the commercial & sales management capability (e.g.
  Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar
  platforms)

MINIMUM
& TYPICAL YEARS OF WORK EXPERIENCE

·
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.

CARGILL
CORE COMPETENCIES - SUMMARY DESCRIPTIONS

·
Lead Change - Level 2 -
Develops resiliency to positively navigate change, work within uncertainty, and
support others through the process.

·
Demonstrate Digital Technology
& Data Fluency - Level 2 - Understands the importance of information
security, embracing and integrating new technologies to contribute to team
performance as well as working on how to use data to aid in decision making.

·
Build Financial & Business
Acumen - Level 2 - Looks to increase financial and business understanding to
draw accurate insights and use information as a strategic tool.

·
Develop Self and Others - Level
2 - Seeks out feedback, coaching and assignments that lead to personal growth,
aligns career goals with business, and holds self accountable.

·
Partner with Impact - Level 2 -
Develops skills to be a strong partner by understanding the business and the
customer, how to anticipate needs and identify benefits and risks of solutions.