
AI Architect (iGaming)
Primary stack
Nice to have's
Job description
About the Position
AI Architect (iGaming)
We are seeking an experienced AI Architect with a strong background in iGaming and game development to lead the adoption of AI across multiple game studios within our client's group. This role is a Talent Network engagement (freelance contract), not a full-time position, with a preference for candidates available closer to full-time.
Location
Poland; Albania; Armenia; Bulgaria; Cyprus; Czech Republic; Estonia; Georgia; Greece; Hungary; Latvia; Lithuania; Macedonia; Romania; Serbia; Slovakia; Slovenia; Spain; Ukraine
Employment Type
Full time
Location Type
Remote
Department
AI Engineering
About the Project
The client is a group of iGaming companies, including multiple game studios and providers. Neurons Lab has been engaged to accelerate AI adoption across the entire group. We have completed the assessment phase and delivered a working prototype for AI-assisted game production. We are now entering a paid pilot with the first studios.
This engagement is prototype-first: the client's C-level and product owners expect working code and live demos, not slides. The core technical direction is agentic AI applied to real game production, including game math engines, game logic (backend), and game client code, with a shared, transferable AI layer that benefits every studio in the group.
Objective
- Act as the embedded technical lead for AI on the account: design, build, and demo production-grade agentic AI solutions for game development.
- Deliver fast, visible results that benefit the group of companies as a whole (shared AI layer across studios), not only a single studio.
- Transfer knowledge continuously to the client's teams and to Neurons Lab engineers.
Responsibilities
Technical Architecture & Hands-on Implementation
- Build working prototypes and pilots on the client's real game stack - mathematical engine, game backend, and client - so product owners can test game ideas at scale on real math, not simplified mocks.
- Design and implement custom agentic setups ("harness + loop + graph") that are transferable between AI systems (e.g., Claude Code / Codex / Cursor and similar), beyond what off-the-shelf tools provide.
- Own the technical architecture: model selection, deployment patterns, infrastructure, cost estimation (including token economics), and monitoring.
- Prepare and run technical demos; always keep a fallback (recorded demo, whitelisted environment) so a live session never fails.
- Produce follow-up technical packs after client sessions: flows, component schemas, deployment views, cost estimates.
Working with Client Stakeholders
- Present technical solutions with a concrete focus on the actual system being built - avoid abstract industry examples and generic "challenges software teams face" talking points.
- Engage confidently with senior, technically strong client-side stakeholders (CTO-level scrutiny is the norm on this account); articulate clearly why our approach is better than the tools the client already knows.
- Respect role boundaries: product feature decisions belong to the product/delivery lead, and commercial topics (what we sell, engagement model) belong to the account team - the architect's voice is decisive on technical excellence, architecture, and implementation.
- Accept decisions once they are made and move forward - collaborative, low-ego working style with quick debriefs and fast iteration.
Team & Knowledge
- Lead and unblock AI engineers on the project where present; create tasks, review output, share feedback.
- Run knowledge transfer sessions so the team is never a single point of failure.
- Support proposal preparation with technical input (estimates, architecture options) when asked by the account team.
Requirements
- iGaming / game-development domain expertise - mandatory. Hands-on familiarity with slot/casino game production: game math engines (RTP, volatility, balancing), game logic and backend, game client. This is the primary reason the role is open - generic AI expertise without gaming domain knowledge is not sufficient for this client.
- 7+ years hands-on AI/ML development, including strong recent agentic AI practice: building harnesses, loops, multi-agent systems, and AI developer-tooling on top of Claude / Codex / Cursor-class systems.
- Prototype-first delivery record. Can show (not tell) existing work: working skills, tools, agents, and loops that operate strictly on code and math. Candidates will be asked to demo real artifacts during the interview.
- Consulting / client-facing seniority. Experience as a technical lead in front of demanding enterprise or product-company stakeholders; confident and proactive (not defensive) under challenge from strong internal engineering teams.
Nice to Have
- Experience delivering to a group/holding structure or multi-brand organization (shared platform serving several business units).
- Game art/graphics pipeline understanding (not required to work on it, but useful for context).
- Cloud hyperscaler experience (AWS / Azure / GCP - all equally valid).
We Offer
- Opportunity to work with a leading group of iGaming companies.
- Collaborative and innovative work environment.
- Competitive freelance contract terms.
About the Company
Neurons Lab is a leading AI and software development company, dedicated to accelerating innovation in the iGaming sector. We are committed to delivering cutting-edge AI solutions that drive growth and efficiency for our clients.
© Neurons Lab. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Neurons Lab delivers AI transformation services to guide enterprises into the new era of AI. Our approach covers the complete AI spectrum, combining leadership alignment with technology integration to deliver measurable outcomes.As an AWS Advanced Partner and GenAI competency holder, we have successfully delivered tailored AI solutions to over 100 clients, including Fortune 500 companies and governmental organizations.
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