ResponsibilitiesPeraton Labs is seeking a knowledge graph engineer to extend and maintain the knowledge graph that underpins a generative AI-powered analytical platform. This role models entities and their relationships, enabling cross-portfolio queries, entity linking, and relationship-based analytics that connect elements into a navigable knowledge structure.
Key Responsibilities
- Design and implement ontologies for various entities
- Extend the knowledge graph with entity types and relationship models
- Build entity extraction and linking pipelines that populate the knowledge graph from both structured and unstructured sources
- Enable cross-portfolio queries
- Develop SPARQL query templates and APIs for common analytical patterns
- Implement knowledge graph quality assurance: consistency checks, completeness monitoring, and conflict resolution
- Design the knowledge graph update pipeline for incremental data ingestion
- Collaborate with NLP Engineers on entity resolution and with Data Fusion Engineers on relationship validation
Qualifications
Required Qualifications
- Minimum of 8+ years of experience with a Bachelor's degree, 6+ years with a Master's degree, or 3+ years with a PhD in Computer Science, Information Science, or related field
- 3+ years of experience with knowledge representation, ontology engineering, or graph databases
- Proficiency with RDF, OWL, SPARQL, and semantic web technologies
- Experience with graph databases (Oxigraph, Blazegraph, Neo4j, or similar)
- Strong Python proficiency; experience with RDF libraries (rdflib, or similar)
- Understanding of ontology design patterns and best practices
- Experience with entity resolution and knowledge base population
- Familiarity with linked data principles and standards
- US Citizenship with the ability to obtain/maintain a Secret clearance
Preferred Qualifications
- Experience with defense or government ontologies (DoD Architecture Framework, NIEM)
- Experience with knowledge graph embedding and graph neural networks
- Knowledge of provenance tracking and data lineage in knowledge graphs
Target Salary Range$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
