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Data Governance / Knowledge Graph Engineer
AI CORE
Responsibilities
- Clean, standardize, align, and integrate multi-source heterogeneous data; establish a comprehensive data governance framework.
- Develop domain-specific knowledge graphs, including entity-relation modeling and graph storage architecture design.
- Integrate governed data and knowledge graphs with Agent systems to enable precise retrieval and reasoning capabilities.
- Continuously monitor and improve data quality while expanding graph coverage and accuracy.
Requirements
- Bachelor’s degree or above in Computer Science, Data Science, Mathematics, or related fields.
- Proven expertise in the full knowledge graph lifecycle, including entity linking, relation extraction, graph storage, and query optimization.
- Strong understanding of data governance methodologies (metadata management, data quality assurance, data standardization).
- Proficient in graph databases (e.g., Neo4j) and query languages such as SPARQL / Cypher.
- Familiarity with RAG architectures and experience applying knowledge graphs within Retrieval-Augmented Generation (RAG) + Agent scenarios.
- Prior hands-on experience deploying knowledge graph solutions in production environments is highly preferred.
About the company
AICore Data Intelligence Cube – Your Enterprise’s Dedicated Private AI Brain An out-of-the-box, hardware-software integrated enterprise-grade vertical LLM solution. By deeply embedding proprietary cutting-edge technologies like multimodal AI and federated learning directly into physical servers, we deliver a secure, zero-friction intelligent hub that keeps data within your infrastructure, simplifies deployment, and evolves alongside your business needs.
- Industry
- AI Applications & LLMs
- Founded
- 2026-01-01