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. RESPONSIBILITIES: Technical Solution Design and Build 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 (HubSpot, 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 infrastructure Business Collaboration and Discovery Support Work directly with business teams and department heads to understand operational problems, assess what is technically feasible , and explain clearly what can and cannot be done Support the AI Enablement Manager/Specialist in discovery sessions and workshops, providing the technical perspective needed to turn ideas into actionable requirements Communicate technical concepts and constraints in plain language — comfortable talking to colleagues who have no engineering background and adjusting accordingly Contribute to the qualification of inbound AI opportunities from a technical standpoint — assessing integration complexity, data requirements, security implications, and effort Implementation, Rollout, and Iteration Lead the technical delivery of approved AI initiatives, from initial build through to rollout, user onboarding, and post-implementation iteration Work alongside Change and Transformation colleagues during rollouts, ensuring that what is built can be understood, used, and supported Build with observability in mind — instrument solutions so that adoption, usage, and errors can be tracked, and support the monitoring and reporting requirements of the AI Enablement function Gather and act on feedback from users post-launch, iterating on implementations to improve effectiveness and adoption Document technical designs, integration architectures, and operational runbooks to ensure continuity and enable handover where needed Security, Governance, and IT Alignment Work closely with IT and Security stakeholders to ensure all AI solutions are implemented within sanctioned infrastructure and comply with internal security standards Apply a security-first mindset to all integration work — handling authentication, data access, API security, and user permissions with appropriate care Contribute to the AI Governance Committee process from a technical standpoint where relevant — flagging risks, assessing vendor security posture, and supporting technical due diligence on new tools Maintain documentation of all AI integrations and automations in Confluence, ensuring the organisation has visibility of what is deployed and how it is governed Knowledge Sharing and Capability Building Support the delivery of internal AI training and knowledge exchange sessions by providing technical depth and practical demonstrations Help build the technical AI literacy of colleagues across the organisation, able to show people how tools work, not just tell them Contribute to internal documentation, prompt libraries, and knowledge bases that make it easier for the wider team to work effectively with AI tools Bring ideas from the broader AI ecosystem, identifying relevant developments, tools, and patterns that could benefit Foods Connected's internal operations EXPERIENCE AND QUALIFICATIONS: To perform this job successfully, the AI Enablement Engineer should have experience with: Qualifications Bachelor's degree or equivalent experience in Computer Science, Software Engineering, Information Systems, or a related field Demonstrable hands-on experience building with LLMs and modern AI tooling — this should be recent, practical experience, not theoretical familiarity A background that includes working directly with business users, support functions, or customer-facing teams, not purely isolated technical work Experience building integrations between enterprise systems and APIs, with sound working knowledge of authentication architectures and data flow Proven ability to take a problem from ambiguous brief to working solution in collaboration with non-technical stakeholders Technical Skills Hands-on experience with LLM APIs and concepts — including prompt engineering, RAG, function calling, agent frameworks, and tool use. Claude (Anthropic) experience is specifically valued Working knowledge of MCP (Model Context Protocol) and equivalent integration frameworks — comfortable connecting AI capabilities to enterprise systems in a governed way Experience with workflow automation and orchestration platforms — n8n experience is directly relevant; equivalent platforms (Zapier, Make, etc.) are acceptable where the underlying concepts are solid Understanding of web API patterns, authentication methods (OAuth, API keys, JWT), and the security considerations involved in connecting systems Strong enough engineering fundamentals to build reliable, maintainable solutions in Python or JavaScript/TypeScript — not required to be an expert in both, but solid in at least one Ability to read and reason about integration architectures, data schemas, and system interactions across a diverse enterprise tooling landscape BENEFITS: Competitive Base Salary Generous Holiday Package - 25 Days + 10 Public Holidays Private Medical, Dental & Vision Employee Wellness Program and Classes Flexible model of hybrid working