Knowledge Base Engineer

Peraton•Annapolis Junction, MD

About The Position

Peraton Labs is seeking a knowledge base engineer who specializes in designing and managing version-controlled knowledge bases with ontologies, mission briefings, and configurations that scope a generative AI-powered analytical platform's capabilities to specific programs or domains. This role develops automated knowledge base generation capabilities and refines ontology structures based on usage patterns and user feedback.

Requirements

Minimum of 5+ years of experience with a Bachelor's degree, 3+ years with a Master's or a PhD in Computer Science, Information Science, or related field
Hands-on experience in knowledge management, information architecture, or ontology engineering
Strong Python proficiency
Experience with knowledge base design and management
Understanding of RAG (retrieval-augmented generation) architectures and their optimization
Familiarity with version control systems and configuration management
Experience with document classification and taxonomy design
Strong analytical and organizational skills
US Citizenship with the ability to obtain/maintain a Secret clearance

Nice To Haves

Familiarity with semantic web technologies (RDF, OWL, SPARQL)
Experience with vector search optimization and embedding model selection
Knowledge of information governance and access control patterns

Responsibilities

Design knowledge base templates for different programs
Develop automated knowledge base generation from program data
Refine ontology structures based on analytical usage patterns and user feedback
Build knowledge base lifecycle management: creation, versioning, merging, archival
Implement knowledge base quality metrics and optimization recommendations
Develop cross-knowledge base search and comparison capabilities for portfolio-level analysis
Create onboarding workflows that guide knowledge base setup
Collaborate with Knowledge Graph Engineers on knowledge base-to-knowledge graph integration