Active Top-Secret clearance with capability to obtain SCI/CI Poly if needed.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
Minimum 10 years of relevant professional experience.
Expertise in semantic web standards such as OWL, RDF, and SHACL.
Proven experience with enterprise graph databases like GraphDB and Neo4j.
Responsibilities
Design and implement enterprise knowledge graphs and ontological models.
Create semantic schemas for cross-system interoperability and metadata management.
Integrate semantic frameworks with AI pipelines and graph databases.
Establish data governance and validation workflows to ensure data quality.
Translate complex business domains into structured semantic models.
Benefits
Company-subsidized medical premiums for employees and families.
Dental and vision coverage.
401k retirement savings plan with up to 4% match.
Health Savings Account (HSA), FSA, and DCFSA options.
Company-paid short/long-term disability and life insurance.
Generous paid time off and all 11 federal holidays.
Legal and identity protection services.
Bonuses for certifications and reimbursement.
Employee perks including UberOne and discounts on services.
Full Job Description
PID: 26-22-10-017
Summary
E-INFOSOL LLC is seeking a motivated and results-driven Ontology Architect & Knowledge Modeling Specialist to join our growing team in Chantilly, VA.
Key Responsibilities
Responsible for the semantic architecture, design, and implementation of enterprise knowledge graphs and ontological models that transform unstructured data into interconnected, machine-readable intelligence. The specialist engineers domain-specific ontologies, taxonomies, and controlled vocabularies using modern semantic web standards-such as OWL, RDF, and SHACL-to capture complex data relationships and business logic.
Operate at the foundational layer of information management, the architect designs semantic schemas that enable cross-system interoperability, advanced inference, and robust metadata management across diverse data repositories.
Collaborate closely with data scientists, software engineers, and AI architects, the specialist integrates semantic frameworks with enterprise graph databases (GraphDB, Neo4j) and modern AI pipelines, including Retrieval-Augmented Generation (RAG) and vector search structures.
Establish strict data governance, validation workflows, and data harmonization pipelines to eliminate information silos and enforce data quality.
Translate complex, real-world business domains into highly structured semantic models providing the cognitive framework necessary for advanced entity resolution, semantic search, and context-aware artificial intelligence capabilities.
Required Qualifications
Active Top-Secret clearance with capability to obtain SCI/CI Poly if needed to meet contract requirements.
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience).
Minimum 10 years of relevant professional experience.
Benefits
Medical - company subsidized premiums for employees, including family and dependent options.
