Senior Consultant – Semantic Data & AI Engineering

📋 Description

• Design and build knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data
• Translate business concepts, data models, policies, documents, and subject-matter expertise into
• Develop data pipelines that acquire, transform, map, validate, enrich, and load information from
• Integrate knowledge graphs with generative AI, retrieval-augmented generation, GraphRAG, semantic
• Support NLP and document-intelligence use cases, including entity extraction, entity linking
• Combine graph data, metadata, vector search, business rules, and model outputs to improve AI

🎯 Requirements

• Four to six years of experience in data engineering, software engineering, artificial intelligence
• Two or more years of hands-on experience with knowledge graphs, semantic technologies, graph
• Working knowledge of semantic standards such as RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, or
• Experience with at least one graph platform such as Stardog, Neo4j, GraphDB, Amazon Neptune, Anzo
• Proficiency in Python, Java, or another enterprise programming language.
• Experience developing data pipelines, transformations, APIs, automated tests, or production

🎁 Benefits

• Medical, Dental and Vision.
• 401k match.
• Maternity and paternity leave and dependent care.
• Tuition reimbursement and wellness reimbursement.
• Working Advantage (discounted marketplace), HSA, FSA, and commuter benefits.