AI Knowledge Enginner

AI Knowledge Engineer Hybrid- Remote/London 6 months + Inside IR35 SC Clearance (or eligible) Our customer, a central government organization, are building an enterprise-grade AI platform to enable secure, scalable and production-ready use of Generative AI and ML across the programme. The successful candidate will be responsible for: Building and populating knowledge graphs programmatically from structured and unstructured sources (not UI-based curation) Graph databases/query (eg Neo4j/Cypher or RDF/SPARQL) Python data engineering for ingestion/ETL at volume Vector embeddings and chunking strategy Nice to have: LangGraph or equivalent orchestration experience AWS-native AI stack (Bedrock, OpenSearch); other cloud stacks considered if transferable Regulated/government environment experience The Knowledge Engineer builds and operates the pipelines that populate and maintain the CDS knowledge graph at volume, turning the Knowledge Modeller''s schema and platform-team retrieval design into a working, governed data asset. Key Responsibilities: Build ingestion pipelines to populate the knowledge graph programmatically from structured and unstructured sources Implement and maintain graph population workflows (entity/relationship extraction, loading, validation against the defined schema) Own chunking and embedding strategy for content feeding retrieval Monitor and maintain data quality, freshness and lineage within the knowledge graph Support ..... full job details .....