Knowledge Graph Engineer

๐Ÿข Madiff ยท all Madiff jobs
๐Ÿ“ United States
๐Ÿ“… Posted 2026-07-19 ยท via Himalayas
๐Ÿท Knowledge-Graph-Engineering,Data-Engineering,Semantic-Web,AI-Engineering,Senior-Knowledge-Graph-Engineer,Knowledge-Graphs-Engineer,Software-Engineer
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This is a remote position.
We are looking for an experienced Knowledge Graph Engineer to design and maintain the semantic intelligence layer behind an enterprise-grade Copilot. The role focuses on structuring domain knowledge so the Copilot retrieves information with precision, context, and full business understanding. Work spans ontology design, graph-based retrieval, semantic modelling, and enterprise data integration.
Responsibilities
- Design ontologies and semantic models for complex domains (e.g., banking, advisory)

- Build ETL pipelines from Microsoft Fabric into graph structures such as Neo4j or GraphRAG

- Define nodes, relationships, metadata rules, and reasoning layers for precise retrieval

- Optimise graph performance, indexing, and query execution at scale

- Implement data quality controls to ensure accuracy and consistency of semantic structures

- Collaborate with business experts to refine concepts and maintain domain correctness

- Integrate the knowledge graph with Copilot retrieval flows and agent reasoning logic

- Maintain an evolving semantic map aligned with real organisational processes

Requirements

- Strong experience with semantic modelling, ontology design, and knowledge representation

- Hands-on experience with graph databases and graph-based retrieval methods

- Solid engineering background across ETL development and data transformation

- Ability to convert complex business logic into formalised graph structures

- Strong communication skills and confidence working with domain experts

- Technical experience with:

- Neo4j, GraphRAG, RDF-based graph systems

- Microsoft Fabric, Spark, and modern ETL tooling

-
Python or TypeScript for ingestion and transformation

- Vector-enabled retrieval frameworks and hybrid search strategies

- Azure-based data services and enterprise integration patterns

- Relevant certifications such as:

- Microsoft Azure Data Engineer (or equivalent)

- Foundation in knowledge engineering or semantic modelling

Nice to have
- Advanced graph database training or certifications

- Additional cloud certifications related to Azure data or AI services

- Accreditation in ontology design or semantic web technologies

Benefits

- Solid, competitive salary

- Work in multinational environment on international projects

- Comprehensive healthcare

- Long-term B2B contract with stable project pipeline

- Fully remote model

Originally posted on Himalayas

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