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University of Maryland Global Campus · 3 months ago

Principal Engineer, Knowledge Graph

(North America) Adelphi, MD

Full-time

Hybrid

Senior Level, Lead/Staff

$158K/yr - $173K/yr

6+ years exp

The University of Maryland Global Campus is seeking a strategic and technically proficient Principal Engineer, Knowledge Graph to lead the design, development, and implementation of enterprise-grade knowledge graph solutions. This role involves driving semantic data modeling, graph-based AI/ML solutions, and collaborating across teams to embed graph intelligence into enterprise systems.

EdTechEducationHigher EducationUniversities

H1B Sponsor Likely

Responsibilities

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

Qualification

Graph modelingNeo4jOntology developmentGraph-based machine learningDatabricksPythonW3C standardsStakeholder communicationTeam leadership

Required

Master's Degree in Information science, Library and Information Science, Data Science, Ontology, Computer Science, Engineering or a related field

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

Ph.D. Degree in Information science, Library and Information Science, Data Science, Ontology, Computer Science, Engineering or a related field

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)

Benefits

Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 15 paid holidays (16 during general election years). For part-time employees, time off rates will be prorated based on the number of hours worked.

Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date.

Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance. Part-time employees working less than 0.5 FTE are not eligible for LTD.

Flexible Spending Accounts: Available for medical and dependent care expenses.

Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).

Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds.

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.

Company

University of Maryland Global Campus

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The University of Maryland Global Campus is a public university focused on online education and headquartered in Adelphi, Maryland.

Founded in 1947

Hyattsville, Maryland, USA

1001-5000 employees

https://www.umgc.edu/index.cfm

H1B Sponsorship

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2025 (1)