Knowledge Engineer

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.   Job Description We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring structure to complex defense acquisition data. Working alongside data engineers and data scientists, domain experts, and product teams, you'll create semantic models that provide structured knowledge to AI systems and enable effective search, classification, and analysis across Govini's Ark platform. This role requires systematic analytical thinking, strong communication skills, and a passion for combining theoretical rigor with practical implementation. The ideal candidate brings hands-on experience in taxonomy and ontology development, along with the ability to guide teams in adopting semantic technologies. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Build and maintain ontologies, taxonomies, and controlled vocabularies for defense acquisition domains Map unstructured data to structured semantic models that integrate with Ark's data infrastructure Establish metadata standards and modeling guidelines in collaboration with data engineering and data science teams Partner with product and domain experts to translate business requirements into semantic solutions Document semantic models and provide guidance to support team adoption and effective use Help drive organization-wide understanding and adoption of semantic technologies and best practices. Track adoption and measure impact, continuously refining models, tools, and practices Qualifications U.S. Citizenship is required Required Skills:  Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field 3+ years of experience developing ontologies, taxonomies, or knowledge graphs Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g., Neo4j, RDF stores) Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL) Proven ability to collaborate with technical and non-technical stakeholders to translate requirements into semantic models Desired Skills:  Understanding of how AI/ML and generative AI systems leverage structured knowledge and ontologies Active U.S. securi