AI Architect (iGaming)

Description

**About the project** ***(description, duration, stage)*** ---------------------------------------------------------- The client is a group of iGaming companies (multiple game studios and providers, incl. slot\-game studios) whose shareholders engaged Neurons Lab to accelerate AI adoption across the whole group — not just one studio. We have completed the assessment phase (interviews and workshops across studios), delivered a working prototype for AI\-assisted game production, and are now entering a paid pilot with the first studios. The 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 — game math engines, game logic (backend), and game client code — and a shared, transferable AI layer that benefits every studio in the group. This is a **Talent Network engagement** (freelance contract), not a full\-time position. Allocation is 0\.5\+ FTE, with strong preference for a candidate available closer to full\-time — ideally one person covers both architecture and hands\-on engineering. **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 **Areas of Responsibility** --------------------------- ### **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 (Claude Code / Codex / Cursor and similar), beyond what off\-the\-shelf tools provide * Own the technical architecture: model selection, deployment patterns, infrastructure, cost estimation (incl. 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 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 **Experience** -------------- * **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**, incl. **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)