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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Knowledge Architect / Knowledge Architect - **Company:** TMC - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Confluence, Microsoft Azure, Data Governance, Elasticsearch, Graph Database, Knowledge Management, Meta-Data Management, Neo4j, Search Technologies, Microsoft SharePoint, Enterprise Search, Document Classification - **Published:** May 22, 2026 - **Apply:** https://es.indeed.com/viewjob?jk=af4fc3b509e612ec ## About the Role Do you have experience in SharePoint?, Are you motivated to participate in a banking project where you structure corporate knowledge and design ontologies to leverage information through generative AI?, * Experience in Knowledge Management, Information Architecture, Semantic AI, or related disciplines. * Experience designing ontologies, taxonomies, and document classification models. * Ability to structure large volumes of information and unstructured documentation. * Knowledge of metadata management and knowledge governance. * Analytical, conceptual, and highly structured profile. * Ability to understand complex business domains and translate them into semantic models. * Experience collaborating with business and technology stakeholders. Valuable skills: * Knowledge Graphs * Semantic Search * Enterprise Search * RAG architectures * NLP applied to knowledge * Content Intelligence * Data Governance * Information Governance * Semantic Layer Design Valuable tools: * Neo4j * Protégé * PoolParty * GraphDB * ElasticSearch * Azure AI Search * Vector Databases * LangChain * SharePoint * Confluence What we are specifically looking for: * A rigorous and organized individual. * High capacity for abstraction and systemic thinking. * Focus on quality and consistency of information. * Ability to structure complex knowledge in a clear and reusable manner. * Strong communication skills and alignment with stakeholders. * An interest in the intersection of knowledge management and Artificial Intelligence. ## Description We are looking for a specialist in knowledge management and semantic architecture to lead the structuring and organization of corporate information with a focus on its utilization through Artificial Intelligence solutions. The position is oriented toward the creation of metaknowledge, document curation, and semantic modeling of corporate information. The ideal profile will combine the skills of conceptual analysis, structuring knowledge domains, and defining ontologies, enabling the transformation of dispersed information into organized, reusable knowledge ready for generative AI systems and RAG environments. Mission of the role: This role will be responsible for analyzing the organization's knowledge base, structuring the ontology of various domains, and defining models for document classification and semantic relationships, ensuring the accurate ingestion and utilization of information by AI systems. The individual will act as a bridge between business, knowledge, and technology, ensuring coherence, governance, and quality in the organization of corporate knowledge. Main responsibilities: * Analyze and understand the existing corporate knowledge base. * Design and structure ontologies, taxonomies, and semantic models of information. * Define relationships between knowledge domains and metadata structures. * Create procedures and criteria for document curation and knowledge management. * Prepare and structure documentation for accurate ingestion and utilization by generative AI solutions and RAG architectures. * Ensure coherence, quality, and governance of corporate knowledge. * Identify redundancies, inconsistencies, and information gaps. * Collaborate with business, data, and technology teams to align the knowledge structure with organizational needs. * Participate in enterprise search, semantic search, and knowledge retrieval initiatives. * Contribute to the creation of scalable reusable knowledge models. ## Related Videos - [New AI-Centric SDLC: Rethinking Software Development with Knowledge Graphs](https://www.wearedevelopers.com/videos/1417-new-ai-centric-sdlc-rethinking-software-development-with-knowledge-graphs) - [Add Location-based Searching to Site with ElasticSearch](https://www.wearedevelopers.com/videos/77-add-location-based-searching-to-site-with-elasticsearch) - [42 x 2 Canvases Later: Two Years, Two Minds, Many Lessons](https://www.wearedevelopers.com/videos/1458-42-x-2-canvases-later-two-years-two-minds-many-lessons) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Knowledge graph based chatbot](https://www.wearedevelopers.com/videos/754-knowledge-graph-based-chatbot) - [The Future of Knowledge Retention: AI-Driven HR Transformation](https://www.wearedevelopers.com/videos/100047-the-future-of-knowledge-retention-ai-driven-hr-transformation) ## Related Articles - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Spanish Business Culture and Etiquette](https://www.wearedevelopers.com/magazine/353-spanish-business-culture-and-etiquette) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)