AI Solution Lead
The company is looking for an AI Solution Lead to act as the strategic-technical bridge between the Optimization function and Engineering. This is a Principal 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.
The role will help the Optimization function transition from rule-based automation to AI-native, agentic execution. The AI Solution Lead will report directly to the Head of Optimization while also providing technical mentorship to fellow Individual Contributors.
- 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.
- 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.
- 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.
- 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.
- BSc in Computer Science, Engineering, Information Systems, or related (MSc in Architecture/AI/Systems Design is considered a plus) (required).
- TOGAF or an equivalent enterprise architecture certification (required).
- Familiarity with Lean and Six Sigma methodologies is desirable (preferred).
- AIGP certification is encouraged (nice-to-have).
- Strong familiarity with Python (required).
- Strong familiarity with REST APIs and webhooks (required).
- Strong familiarity with Jira, Confluence, and Miro (required).
- Strong familiarity with AI platforms such as Claude Enterprise, Gemini, Vertex AI, and OpenAI (required).
- Strong familiarity with Agentic frameworks such as LangChain, Make, and n8n (required).
- Strong familiarity with RPA and workflow automation platforms (required).
- Strong familiarity with GitLab or GitHub (required).
- Strong familiarity with Docker fundamentals (required).
- A buddy will support you with your onboarding (required).
- Competitive pay & bonus scheme (required).
- Developmental 360° feedback framework (required).
- Family Support (required).
- Hybrid way of working (required).
- Monthly meal allowance (required).
- Nice rigs - 2.5K monitor, latest i7, tons of RAM, fast SSD (required).
- Private health insurance for you & your family (required).
- Unlimited access to Udemy & continuous training (required).
Kaizen Gaming is one of Europe's fastest-growing GameTech companies, operating the Betano and Stoiximan sports-betting and online-casino brands. Founded in 2013 and headquartered in Athens, Greece, with a major operational hub in Malta, it serves more than 13 million customers across 19 markets in Europe, the Americas and Africa. The company builds its own technology, combining sportsbook, live betting and casino products. Its flagship Betano brand has grown internationally through sponsorships including UEFA competitions and major football clubs.