AI Architect (iGaming)

Neurons Lab LTD.; Northern (KY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Freelance contract

0.5+ FTE allocation

Prototype‑first work environment

Job summary

Neurons Lab LTD. seeks an embedded technical lead for AI on an ambitious iGaming project. Work across real game stack—math engines, backend, and client—delivering production-grade agentic AI solutions and live demos to a group of studios.

The role focuses on designing transferable AI layers, hands-on architecture, and knowledge transfer to client teams, with a prototype-first delivery mindset and strong client-facing experience.

Qualifications

• iGaming / game‑development domain expertise mandatory.
• 7+ years hands‑on AI/ML development with agentic AI practice.
• Prototype‑first delivery record with tangible artifacts.
• Consulting / client‑facing seniority in front of enterprise stakeholders.

Responsibilities

• Act as embedded technical lead for AI on the account: design, build, demo production‑grade agentic AI solutions for game development.
• Deliver fast, visible results that benefit the group of companies with a shared AI layer.
• Transfer knowledge to client teams and Neurons Lab engineers.
• Lead and unblock AI engineers; run knowledge transfer sessions.
• Support proposal preparation with technical input (estimates, architecture options).
• Present technical solutions to senior client stakeholders with concrete focus on the actual system built.

Skills

iGaming domain

AI/ML development

prototype-first delivery

technical leadership

client-facing

Tools

Claude / Codex / Cursor

Custom agentic setups

real game stack integration

Job 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

1. 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.




2. 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.




3. 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.




4. 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)