Product Tech Lead - AI Solutions - high-level architectural ownership (h/f)

Are you an experienced Product Tech Lead with strong AI, data platform, and cloud architecture expertise? emagine has an opportunity for you to design, architect, and drive the delivery of a strategic AI‑powered internal product, supporting a global sales organisation with data‑driven insights and intelligent tools. The Role You will act as Product Tech Lead within a startup-style AI initiative, owning the end‑to‑end technical vision and delivery of a scalable, enterprise-grade AI solution. Working closely with product, architecture, and business stakeholders, you’ll balance hands-on technical leadership with high-level architectural ownership. Skills & Experience • 10+ years’ experience in software engineering and solution architecture, including several years in a technical leadership role • Proven track record designing and delivering scalable AI and data platforms in enterprise environments • Strong hands-on expertise in Python, plus exposure to additional languages (e.g. C#, Java, Scala) • Deep experience with cloud-based data and AI ecosystems (data platforms, data lakes, analytics layers, AI services) • Strong knowledge of data architecture, data modeling, and data governance • Experience designing batch and real-time data pipelines for large-scale structured and unstructured data • Solid understanding of microservices, APIs, and integration patterns • Practical experience with DevOps / MLOps / LLMOps and CI/CD pipelines • Comfortable working in Agile / Scrum environments and leading senior technical teams • Fluent English required; French is a plus Key Tasks & Deliverables • Define and own the end-to-end technical and data architecture, ensuring scalability, performance, security, and future-proof design • Lead and mentor a cross-functional team (software, data, AI engineers, data scientists) • Drive the delivery of AI-powered and data-intensive features, including LLM-based use cases • Design and oversee data pipelines, data products, and model lifecycle management in a cloud environment • Own the data layer, including modeling, data quality, governance, and compliance • Ensure seamless integration with enterprise systems (e.g., ERP / CRM platforms) • Oversee DevOps, MLOps, and LLMOps pipelines, enabling reliable production deployments   Why This Role? You’ll be joining a high-impact, growth-focused initiative with real business visibility, where technical decisions matter and innovation is encouraged. The environment is collaborative, international, and empowering, ideal for autonomous self-starters who enjoy shaping platforms rather than just building features. You will work remotely but should be based in Europe     Apply with your latest CV or reach out to Brendan to find out more.