At Rituals, we are at an exciting moment in our AI journey. As Tech Lead – GenAI Delivery, you will help turn the potential of generative AI into products people can use every day across our business. Based in our Central Head Office in Amsterdam, you will take ownership of the delivery of high-impact GenAI applications, including our customGPT ecosystem, internal knowledge assistants, and domain-specific use cases.  This role sits at the intersection of strategy and execution, where you translate ideas into production-grade software that is scalable, secure, and valuable in practice. You will work closely with Product Owners, business sponsors, AI Engineers, Data Science teams, Staff Engineers, and our wider AI Network across Legal, Security, and Principal Architecture. With a strong hands-on approach, you will help shape the way we design, build, and improve GenAI products across Rituals.  
Your focus is on delivery: creating solutions that work well, are used widely, and continue to improve over time. In doing so, you will also help strengthen our engineering standards, mentoring culture, and responsible AI practices as we grow. 
In this role, you will: Lead the technical design, build, and continuous improvement of GenAI products, including the customGPT ecosystem and internal knowledge assistants. Define and evolve the reference architecture for scalable, secure, and cost-effective GenAI solutions, including RAG and semantic search systems. Drive technical decisions on knowledge bases, ingestion strategies, chunking, vector databases, orchestration frameworks, and context management. Establish and scale strong LLMOps practices, including standards for quality, prompt engineering, documentation, monitoring, evaluation, and automated testing. Mentor AI Engineers and guide external engineering partners to ensure alignment on architecture, delivery quality, and engineering standards. Partner closely with Product Owners, business sponsors, and cross-functional stakeholders to manage priorities, communicate risks, and implement responsible AI guardrails. 
