Senior Software Engineer - Artificial Intelligence

Senior Software Engineer-AI

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

 

• 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.

Experience Level

Senior Level