TL;DR
Lead AI adoption in engineering organizations across a major iGaming client.
- •Make AI adoption across the group's eight engineering organizations continuous and rhythmic.
- •Cascade each CTO's vision into their teams as working discipline, and move practices that already work in one company into the other seven.
- •Key Responsibilities Inside each company: turn the CTO's vision into team-level discipline: specs, rules, review standards, reusable skills, onboarding of the next circle of engineers Run the diffusion loop between companies: detect what already works in one team, validate direction and risks, package it into a reusable artifact, transfer it to the rest, measure against objective criteria Operate the rhythm: bi-weekly validation calls with active teams, a monthly cross-company demo meet, a per-company status board, and a monthly steering sync with the group CTO Requirements Hands-on daily fluency with agentic coding stacks: including MCP servers, skills, sub-agents, and spec-driven development on real repositories AI architecture: LLM gateways/proxies, cost and error attribution, local-LLM trade-offs, in-region deployment patterns Engineering-leadership credibility at tech-lead / AI-architect / head-of-engineering level
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