AI Enablement Engineer

A LITTLE INFORMATION ABOUT US

Foods Connected is an award winning cloud based software platform that helps retailers and food companies across the world manage their supply chain, quality control and trading and planning management. Our software solutions are currently utilised by 10 of the largest food retailers in the world. As a team, we provide tools that help our customers manage their processes in a fast and efficient way and provide real‑time visibility and reporting on what is happening in their business.

At Foods Connected, we recognise that our employees are our most important asset and we value creating a great working environment to ensure our team enjoy coming into the office every day working together and solving problems for our customers. Whether we are in the middle of a fast and intense development sprint, on a Teams call discussing our project statuses or enjoying a game of ping‑pong or pool in the office, it is important to us that our employees are happy and delivering the best possible result for our customers.

We’re always keen to welcome talented individuals to join our expanding team. So if you’re driven, with a passion for developing simple software solutions, creating great user experiences, designing scalable solutions for real business challenges and ensuring customer happiness then we’re looking for you!

IS THIS SOMETHING THAT INTERESTS YOU?

We're building an AI Enablement capability to drive meaningful, responsible AI adoption across Foods Connected, and the AI Enablement Engineer is the technical engine that makes it work in practice. This role sits at the intersection of internal operations, business enablement, and hands‑on AI engineering.

You will be the person who translates business problems into working solutions, designing and building the integrations, automations, AI agents, and AI‑assisted workflows that make a real difference to how our people work. You'll work closely alongside the AI Enablement Manager/Specialist and the Head of AI Enablement, providing the technical capability to take ideas from discovery through to delivery. Your primary focus is internal operational impact, though you'll naturally work alongside Engineering and product teams where integrations or technical decisions intersect.

This is an individual contributor role, but far from an isolated one. You'll spend meaningful time with business teams and department heads, understanding their problems, translating what's technically feasible, and building things that actually get used. This includes designing and orchestrating multi‑step AI agents that automate complex workflows end‑to‑end, not just point integrations. You'll bring strong engineering instincts and the kind of hands‑on experience with LLMs, agent frameworks, automation, and integration architectures that lets you move quickly and confidently, while always keeping security, governance, and IT oversight front of mind.

• Design, build, and maintain AI‑powered tools, automations, agent orchestration, and integrations that address real business problems identified through the AI enablement pipeline.
• Translate requirements from the AI Enablement Manager/Specialist and department stakeholders into working technical solutions, scoping feasibility, selecting the right approach, and building to a standard that can be maintained and iterated upon.
• Assess whether a business problem is best addressed through a custom build, configuration of an existing platform, or adoption of a third‑party tool — and make a clear, reasoned recommendation before committing to a delivery approach.
• Build and maintain LLM‑based workflows and AI‑assisted tools using the Foods Connected tooling ecosystem, including Claude, n8n, and connected enterprise platforms (Hub Spot, Gong, Kantata, and others).
• Implement integration patterns between internal systems, AI services, and APIs — applying appropriate authorisation methods and data handling practices at every step.
• Build with security and IT governance in mind from the outset: all integrations must be visible, documented, and aligned with IT oversight — not shadow…