AI Solution Lead
Kaizen Gaming
| Company | Kaizen Gaming |
| Category | Data & Analytics |
| Location | Thessaloniki |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 27 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
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
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