AI Knowledge Engineer

Right now, we are looking for someone to own the design, content quality, and AI readiness of our group's internal knowledge base from a blank page. Your mission? Make sure both humans and AI agents find the right answer fast, and that teams across the group know how to build and run AI workflows on top of what we know. This is a founder-style role. You start solo, prove the value, and lay the foundation for an AI Knowledge function that grows into a dedicated team over time. If you like owning a domain end to end and turning tribal knowledge into something a machine and a busy colleague can both trust, this role is tailored to you. WHAT WILL BE YOUR AGENDA? - Stand up the group knowledge base as the single source of truth across the FTMO Group. Decide what belongs in it, how it is structured, and who owns each domain. - Design and maintain the information architecture (taxonomy, metadata, tagging, content models) so both employees and AI agents (RAG pipelines, internal copilots, MCP-based workflows) retrieve high-quality answers. - Run the content curation pipeline end to end with departmental SMEs: intake, drafting, review, freshness audits, deprecation. Set the editorial standard and hold the line. - Define what "AI-ready content" means in practice (chunking, structure, source attribution, freshness signals) and turn it into rules contributors can actually follow. - Wire the KB into the group's AI tooling stack together with the AI Lead and IT: internal RAG, Claude, AI agents, MCP connectors, and agentic search. - Build a network of knowledge champions inside each department, and train teams to query the KB effectively with AI and contribute back high-quality content. - Scope and build the team. Assess where one person stops being enough, write the business case, define the roles, hire, and grow into leading them while still doing hands-on work. - Track KB health (coverage, freshness, retrieval quality, agent answer accuracy, adoption, time saved) and govern access, sensitivity, and compliance together with Legal, Security, and Compliance. WHAT WILL YOU BRING TO THE TABLE? - You have built and run a knowledge base, intranet, documentation function, or large content surface end to end: structure, content, governance, measurement. - At least one program where AI tools (RAG, copilots, agents) sit on top of structured content. - You use AI tools every day and can teach others. Practical fluency, hands-on with at least two of: ChatGPT, Claude, Microsoft 365 Copilot, Notion AI, Glean, Guru. - A working understanding of how RAG, embeddings, agentic workflows, and Model Context Protocol (MCP) behave in practice. - You design taxonomy, ontology, metadata, and content models that hold up under both human and machine consumption, and you have opinions about chunking, source attribution, and what AI-ready content actually looks like. - 5 to 7+ years in knowledge management, information architecture, technical writing, internal communications, content design, support operations, or L&D. - A founder mindset. Comfortable with a blank page, you scope, prototype, and ship value before asking for budget or headcount. - English at C1 or higher. Czech welcome. WHAT WOULD BE NICE TO HAVE? - Prior direct lead experience (1 to 3 reports). - Experience in fintech, financial services, or another regulated industry. - A background in library or information science, taxonomy design, or content operations at scale, plus facilitation or training experience across multiple departments or sites. WHY JOIN THE FTMO TEAM? - We are a Czech fintech that, since 2015, has grown from an idea into a global project. 🚀 - 300+ amazing teammates. We’re a great team who learn from each other every day.🤜🤛 - How do we work? We focus on meaningful work and open communication, while only adopting processes that make our lives easier. - Prague, Národní třída. Enjoy our modern offices at the Quadrio shopping center, offering beautiful views and excellent accessibility.…