Architect - Ontologist / Knowledge Modeler

Hiring: Lead Knowledge Graph Engineer Location: Remote Job Type: Contract Job Overview We are seeking an experienced Lead Knowledge Graph Engineer to evaluate, optimize, and scale enterprise semantic data infrastructure. The ideal candidate will have deep expertise in Knowledge Graphs, Semantic Web technologies, ontology design, and GraphRAG architectures. This role will play a key part in bridging complex biomedical data with next-generation AI and Generative AI solutions. Key Responsibilities

Job Title: Senior Semantic Web Engineer Location: RemoteExperience: 5+ Years Job Description: Seeking a Senior Semantic Web Engineer with expertise in Semantic Web and Knowledge Graph technologies. Strong experience with Amazon Neptune (preferred), Neo4j, GraphDB, RDF, OWL, SPARQL, Python, SQL, AWS, ETL, and Data Modeling is required. Experience with Protg, Metaphactory, SHACL, AI/LLMs, CI/CD, Git, Jenkins, and Terraform is a plus. Healthcare ontology experience (SNOMED-CT, LOINC, RxNorm, ICD-10

Experience: 10+ years Visa: USC//L2/TN/E2 (No H1&OPT) Job type: w2 contract Position Semantic Data Modeler is responsible for designing, developing, and managing semantic data models, ontologies, taxonomies, and knowledge graph solutions to support healthcare data intelligence using graph databases, AI, and cloud platforms. Responsibilities: Serve as a subject matter expert in semantic data modelling on the graph data team, contributing to initiatives that integrate AI, LLMs, and advanced graph

Bachelors or Masters degree in Computer Science, Information Technology, or a related STEM field5+ years of hands-on experience in semantic web or knowledge graph engineering, including leading complex projects.Proven experience with graph databases or triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB. (Amazon Neptune preferred)Strong proficiency in Python; familiarity with other languages (e.g., Java, C#, JavaScript, Clojure) is a plus.Practical experience with RDF, OWL, SPARQL,