Principal Engineer, Knowledge Graph

## Principal Engineer, Knowledge Graph* Lead the enterprise knowledge graph development and operationalization, including data modeling, ontology and taxonomy development, semantic modeling, and integration with machine learning and business platforms.* Design and manage complex graph data models and ontologies using W3C standards (RDF, OWL, SKOS, SHACL) to support data standardization, discovery, and analytics.* Develop and implement graph-based machine learning models (e.g., GNNs, link prediction, GraphRAG) to support key business capabilities such as personalized learning, intelligent search, and recommendation systems.* Drive the use of NEO4J for graph data storage, querying (Cypher), and integration into enterprise pipelines.* Collaborate with AI/ML engineers to fine-tune LLMs and integrate graph data into intelligent agents and semantic search systems.* Provide architectural leadership for semantic pipelines and Databricks integration, supporting both batch and real-time graph analytics.* Champion the adoption of graph-based AI/ML, especially in online higher education use cases.* Translate evolving business needs into a prioritized roadmap for knowledge graph implementation and continuous improvement.* Stay abreast of developments in graph database, graph AI/ML, semantic web, agent-based systems, and enterprise AI platforms.**Education & Experience Requirements****:*** 6+ years of experience in ontology development, semantics, or graph modeling, including W3C standards (RDF, OWL, SKOS, SHACL).* 5+ years of hands-on experience designing and implementing knowledge graphs using NEO4J, including Cypher queries and graph modeling, and graph database design and operations best practices.* Proven experience implementing graph-based machine learning models (e.g., GNNs, GraphRAG).* Experience working with Databricks and Spark-based data workflows.* Demonstrated ability to lead enterprise-level data integration initiatives and semantic modeling projects.* Strong programming skills in Python, including ML libraries (e.g., PyTorch, TensorFlow) and graph libraries (e.g., DGL, NetworkX, NEO4J Python driver).* Excellent stakeholder communication and team leadership skills.* Experience supporting online platforms, ideally in online education or digital business ecosystems.**Preferred Requirements****:*** Experience integrating knowledge graphs with LLMs, prompt engineering, and AI agents (e.g., LangGraph, CrewAI).* Familiarity with graph query optimization, entity resolution, and knowledge extraction from structured and unstructured data.* Experience with graph data cataloging tools (e.g., Stardog, PoolParty, TopQuadrant).The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC’s Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at - **Tuition Remission:** Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. **NOTE: For part-time employees (at least 50 percent of the time), tuition remission benefits are prorated.** #J-18808-Ljbffr