About the Role

We're looking for an AI Solution Lead to act as the strategic-technical bridge between our Optimization function and Engineering. This is a Individual Contributor role — not hands-on engineering — focused on ensuring what gets built is the right thing, designed the right way, with the foundations to scale.

You'll help the Optimization function transition from rule-based automation to AI-native, agentic execution, reporting directly to the Head of Optimization while also providing technical mentorship to fellow Individual Contributors.

What You'll Do

Solution Architecture & Technical Design (70%)

• Translate validated business requirements into scalable solution architectures — data flows, integration patterns, AI model selection, exception paths, and monitoring.
• Justify design decisions against an Eliminate → Anticipate → Agent → Assist hierarchy.
• Own the architecture sign-off gate before any solution enters the engineering backlog .

Technical Feasibility & Build-vs-Buy (10%)

• Assess the technical feasibility, complexity, and platform fit for new initiatives, evaluating build vs. configure vs. buy options.
• Identify opportunities for reuse across approximately 110 active solutions and maintain the Solution Catalogue.

AI Governance & Standards (10%)

• Own technical standards: design patterns, AI tool governance tiers, AI registry entries, and quality frameworks for "production-ready" AI.
• Develop reusable frameworks, reference architectures, and decision trees for the wider organisation.

Cross-Functional Enablement (10%)

• Translate architecture into business language—and business requirements into technical architecture—while facilitating architecture reviews and design workshops.
• Champion AI-native thinking by promoting principles such as Eliminate before Automate and Anticipate before Build, while mentoring colleagues and helping raise technical capability across the organisation.

What We're Looking For

• BSc in Computer Science, Engineering, Information Systems, or related (MSc in Architecture/AI/Systems Design is considered a plus)
• TOGAF or an equivalent enterprise architecture certification. Familiarity with Lean and Six Sigma methodologies is desirable. AIGP certification is encouraged. 
• Strong familiarity with:

• Python
• REST APIs and webhooks
• Jira, Confluence, and Miro
• AI platforms such as Claude Enterprise, Gemini, Vertex AI, and OpenAI
• Agentic frameworks such as LangChain, Make, and n8n
• RPA and workflow automation platforms
• GitLab or GitHub
• Docker fundamentals

How You'll Operate

You will operate with a high degree of autonomy, making architectural decisions within agreed roadmaps and engineering standards, while having the authority to depart from established patterns when justified by a strong technical case.

Novel situations will be the norm. As the organisation transitions towards agentic AI, success will depend less on precedent and more on first-principles thinking, sound technical judgement, and pragmatic decision-making.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support
• #LI-Hybrid
• #LI-ap1