AI Solution Lead

About the role

As the AI Solution Lead at Kaizen Gaming, you will play a crucial role in bridging Optimization and Engineering, focusing on scalable solution architectures and AI-native execution. Your work will involve translating business requirements into technical designs while ensuring adherence to AI governance standards.

You will collaborate across teams to facilitate architecture reviews and design workshops, promoting AI-native thinking within the organization. Your expertise will help drive innovation in a company recognized as one of the best workplaces in Europe, supporting a diverse team dedicated to enhancing customer experiences.

Skills that matter here

• Python: This role requires strong Python skills for developing scalable AI solutions.
• REST APIs: Familiarity with REST APIs is essential for integrating various systems.
• AI platforms: Experience with AI platforms like Claude Enterprise and OpenAI is crucial for solution design.
• RPA: You will utilize RPA and workflow automation to enhance operational efficiency.
• Jira: Jira will be used for project management and tracking progress.
• Docker: Understanding Docker fundamentals is important for deployment and containerization.

Who this role suits

• A candidate with a strong technical background in computer science or engineering.
• Someone who thrives in a collaborative environment and enjoys mentoring others.
• An individual who is proactive in problem-solving and embraces new technologies.
• A professional familiar with enterprise architecture frameworks and methodologies.

From the employer

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

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