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Request your profilesRequest your profilesAlmost every company is experimenting with generative AI by now. Few have assigned anyone the job of turning individual tools into a measured productivity gain. An AI Transformation Lead fills exactly that gap: not model training, not pure AI engineering, but adoption, enablement, and governance at company level across architecture, software engineering, QA, DevOps, project management, and customer support. Without this role filled, companies stay stuck in the pilot phase — with scattered tools instead of a measurable effect.
Not another AI tool to buy, but the person who makes tools actually work — not an ML engineering or data science hire, but a cross-functional leadership role for business and tech, and not another pilot project without an owner, but standards, training, and governance that reach daily work.
Assesses where generative AI is already used across the company and where the potential lies and turns that into a prioritized roadmap.
Moves prompts and AI features out of the experimentation stage into production software with stable interfaces instead of copy-paste workflows.
Builds training and enablement programs and guides the culture shift, so engineering, support, and business teams actually use AI tools in daily work.
Sets guardrails for quality, security, and traceability from model selection to data protection.
Coordinates architecture, engineering, QA, DevOps, project management, and customer support toward one shared goal.
Assesses vendors and tools by proven value for specific processes, not by hype.
Translates between the C-suite, business units, and technical teams and makes progress measurable.
Makes the productivity gain from AI initiatives visible with clear KPIs not a gut feeling.
17 years as a Solution Architect and fractional CTO, currently AI Transformation Lead at an international iGaming platform. Focus areas: LLMOps, multi-agent orchestration, RAG. Available in 10 days.
Built AI enablement programs for up to 300 engineers, a physicist with a doctorate. Focus areas: RAG, knowledge graphs, LangChain/LangGraph. Available in 1 month.
15 years of experience, currently running over 70 production automation workflows. Focus areas: workflow automation (n8n), multi-model LLM routing. Available in 1 week.
Since 2025, building an enterprise AI department at a subsidiary of a telecommunications group. Focus areas: enterprise AI strategy, AI governance, change management. Available in 1 month.
Schedule a call30 minutes to align on requirements and team context — before you talk to the candidates.
You speak directly with the candidates who fit — in parallel or one after another, whichever suits your process.
Depending on the candidate and model (permanent hire, Dedicated Team, or Remote Workforce), ready to start as soon as one week after sign-off.
Answers to the most common questions about the role and the hiring process.
An AI Transformation Lead doesn't train models — they own adoption, enablement, and governance across every function, from architecture to customer support.
