Director of AI Engineering - Berlin (x/m/f)

We are looking for a Director of Engineering to join the AI Practice Efficiency team. Your mission will be to define and deliver how AI transforms the daily work of healthcare professionals — across intelligent scheduling, automated document processing, smart task management, and AI-assisted patient communication. You will lead teams building AI-powered features across two horizons: augmenting existing practice workflows with intelligent capabilities, and pioneering net-new AI-native products that unlock entirely new value for practitioners and their patients. Working in the tech team at Doctolib means building innovative products and features that improve the daily lives of care teams and patients across Europe. What you'll do: Your responsibilities include but are not limited to: Lead and scale 1 engineering team owning the AI Practice Efficiency scope: manage teams delivering AI features across practice workflows — intelligent scheduling, automated document processing, smart task management, and AI-assisted patient communication. Champion delivers excellence by unblocking teams, setting high execution standards, and accelerating the pace of experimentation and production release, with an initial focus on the Phone assistant, currently one of Doctolib's most strategic product bets that we need to grow. Define and execute the AI product-engineering strategy: in close partnership with Product, Data Science, and Design, set the technical direction for AI Practice Efficiency — deciding when to build vs. buy, how to evaluate and select foundation models, when to fine-tune, and how to architect for safety, explainability, and regulatory compliance. Balance ambitious AI innovation with pragmatic, high-quality execution. Own responsible AI delivery in a regulated context: ensure AI features are built with appropriate safeguards for a healthcare environment, covering evaluation frameworks, human-in-the-loop design, data privacy (GDPR/HDS), explainability, and bias mitigation. Serve as the engineering voice ensuring our AI products meet the trust bar that healthcare professionals and patients require. Work together with the VP of Engineering of the Domain to set the AI strategy for the domain. Drive cross-domain AI adoption and platform thinking: collaborate with other engineering streams and the broader AI platform teams to ensure shared AI infrastructure, tooling, and evaluation frameworks both benefit from — and contribute to — your teams' work. Champion AI-augmented engineering practices within your own teams as a forcing function for productivity and quality. Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: Have at least 12+ years of engineering experience, with significant time leading managers and senior ICs in fast-paced, high-growth technology environments — and a proven ability to run multiple teams across complex, interdependent scopes without losing clarity on outcomes Have a track record of shipping AI or ML-powered features to real users at scale, with full lifecycle ownership: from problem framing and data requirements through model evaluation, integration, monitoring, and iteration Stay close to the craft: you use AI tools directly, can build working prototypes to pressure-test ideas, and are hands-on with LLM integration, RAG architectures, fine-tuning tradeoffs, evaluation frameworks, and inference constraints — you see prototyping as a leadership tool Bring sharp product instinct for where AI creates genuine clinical value, combined with a clear framework for navigating responsible AI delivery in a regulated, high-trust healthcare context (GDPR/HDS, explainability, human oversight) Are an exceptional people leader: you deliberately adapt your leadership approach based on context, actively mentor other managers, and build environments where engineers grow and AI…