Jobs → Customer Support → Lead Knowledge Architect

About the Role We are looking for a Lead Knowledge Architect to build enterprise ontologies, unify financial data vocabularies, and improve AI accuracy through GraphRAG, semantic grounding, and intelligent knowledge retrieval. Key Responsibilities • Design and own enterprise ontologies and knowledge graphs for financial instruments, issuers, portfolios, transactions, and reference data • Establish standardized business vocabularies, semantic layers, and governed business glossaries across departments • Architect and optimize graph databases and query layers for large-scale financial data • Improve LLM accuracy through GraphRAG, hybrid retrieval, semantic grounding, and entity resolution • Build knowledge extraction pipelines from structured financial systems and unstructured documents • Implement data lineage, quality controls, and auditability across knowledge platforms • Collaborate with investment, risk, finance, and compliance stakeholders to resolve semantic differences • Lead SME workshops, guide technical teams, and communicate architecture decisions to senior stakeholders Requirements • 8+ years of data architecture experience, including 4+ years designing and managing production knowledge graphs or semantic platforms • Strong hands-on expertise in ontologies, taxonomies, RDF/OWL modeling, SHACL, SPARQL, Cypher, and Gremlin • Experience with graph databases such as Neo4j, Amazon Neptune, TigerGraph, or RDF stores • Strong investment and financial services domain knowledge, including financial instruments, portfolios, trading, risk, fund accounting, and reference data • Practical experience with RAG/GraphRAG, LLM grounding, embeddings, vector search, entity resolution, and retrieval evaluation • Proficiency in Python, SQL, and modern data platforms such as Spark, Databricks, and Snowflake • Familiarity with FIBO, ISO 20022, LEI/ISIN, and data governance tools such as Collibra, Alation, or Atlan