Knowledge Base Engineer

2026-166804

CAtegory:

Information Technology

Clearance:

Secret

Location:

Annapolis Junction
,
Maryland

Telecommute:

No remote/telework allowed
About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

About The Role

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.

 

Key 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
Qualifications

Required Qualifications

  • 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

 

Preferred Qualifications

  • 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
Details

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.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at&nbsp;<a href="https://www.careers.peraton.com/benefits?" target="_blank" rel="noopener">https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.&nbsp;By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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