AI Architect (iGaming)

Neurons-Lab

España

Presencial

EUR 120.000 - 170.000

A tiempo parcial

Hace 10 días

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Descripción de la vacante

Neurons Lab is seeking an embedded technical lead for AI on a paid pilot within a group of iGaming studios. You will design, implement, and demo production-grade agentic AI solutions on a real game stack (math engine, backend, client) and own the technical architecture.

This prototype-first engagement emphasizes fast, visible results across the group, knowledge transfer to client teams, and strong client-facing seniority in a consulting posture.

Formación

  • iGaming / game-development domain expertise is mandatory.
  • 7+ years hands-on AI/ML development with agentic AI practice.
  • Prototype-first delivery with working code and live demos.
  • Consulting / client-facing seniority with enterprise stakeholders.

Responsabilidades

  • Act as embedded technical lead for AI on the account; design, build, and demo production-grade agentic AI solutions for game development.
  • Deliver fast, visible results across studios with a shared AI layer.
  • Transfer knowledge to client teams and Neurons Lab engineers.

Conocimientos

iGaming / game-development domain exp
AI/ML development
agentic AI
Prototype-first delivery
Consulting / client-facing

Herramientas

Claude / Codex / Cursor

Descripción del empleo

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)

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