Santa Helper Jobs in Springfield, VA (NOW HIRING)

Ontology Engineer Mid
Herndon, VA,
$180,000-$200,000 depending on experience and qualifications
TS/SCI clearance with CI polygraph
8+ years of relevant professional experience for Mid
Bachelor's degree in Software Engineering or related discipline.
Current / active TS/SCI clearance with CI polygraph
Background investigation required, including a minimum of a criminal and credit
check as well as at least three professional references.
Client is seeking a Ontology Engineer to is seeking an Ontology Lead to join our team. In this position you will design, develop, and maintain domain-specific ontologies and knowledge models in support of Object Based Intelligence (OBI) mission requirements.
The Lead Ontologist serves as the technical authority for the design, development, and maintenance of
domain-specific ontologies and knowledge models that support Object-Based Intelligence (OBI) mission
requirements. This position applies semantic technologies and knowledge representation methodologies
to enable data interoperability, advanced analytics, and knowledge integration across diverse data
sources and object-management systems. Leveraging Semantic Web standards, including RDF, OWL, and
SPARQL, the Lead Ontologist develops scalable knowledge frameworks that enhance data discoverability,
support AI/ML applications, and facilitate effective knowledge transfer to Government stakeholders.
As an Ontology Engineer at , you will be a vital part of our team, contributing to the design
and implementation of advanced software solutions. You will work under the guidance of senior
engineers to develop your skills and gain hands-on experience in various aspects of software
development. This team is building innovative software using mathematical solutions to support users in
the defense and intelligence communities. These positions are ideal for both entry level candidates and experienced individuals in the software engineering field, they offer a chance to grow and explore
different technologies within a dynamic AI-driven environment.
Principal Responsibilities:
In coordination with domain experts, design, develop, and maintain domain-specific ontologies,
taxonomies, and knowledge graphs that support Object-Based Intelligence mission objectives.
Apply Semantic Web standards and technologies, including RDF, OWL, SHACL, and SPARQL, to
model, represent, and query complex data relationships.
Establish and maintain semantic data integration frameworks that enable interoperability across
internal and external object-management systems.
Collaborate with analysts, data scientists, engineers, and Government stakeholders to capture
requirements and translate mission needs into formal knowledge models.
Develop and maintain ontology governance processes, standards, documentation, and version
control practices to ensure consistency and scalability.
Support AI/ML initiatives by providing structured knowledge representations that enhance model
explainability, interpretability, and contextual reasoning.
Conduct ontology validation, testing, and quality assurance activities to ensure accuracy,
completeness, and alignment with mission requirements.
Provide technical leadership, mentoring, and knowledge transfer activities to Government
personnel and project team members on ontology development methodologies and semantic
technologies.
Minimum Requirements:
12 years of experience and an advanced degree or 15+ years of experience with a bachelor's
degree.
Demonstrated experience designing and implementing ontologies, taxonomies, or knowledge
graphs in operational or research environments.
Experience applying Semantic Web technologies, including RDF, OWL, and SPARQL.
Knowledge of ontology engineering methodologies, data modeling principles, and semantic
interoperability frameworks.
Ability to communicate complex technical concepts effectively to both technical and non-technical
stakeholders.
An Excellent Candidate for this position will meet most of the following experience requirements:
Experience developing and maintaining enterprise knowledge graphs and integrating
heterogeneous data sources.
Familiarity with AI/ML workflows and the use of ontologies to improve model explainability,
reasoning, and decision support.
Experience providing technical leadership, mentoring, and formal knowledge transfer to
Government personnel or large multidisciplinary teams.
Certified Data Management Professional (CDMP) or equivalent data architecture certification.
Certified Knowledge Manager (CKM) or comparable knowledge management credential.
Formal training or certification in Semantic Web technologies, knowledge graphs, ontology
engineering, RDF, OWL, or SPARQL.
General personal traits we know will connect well with the team:
Superior communication skills
A positive, willing attitude
An ability to think on your feet and solve problems quickly
Adaptability to learn new methodologies and technologies
Comfortable working in an agile team environment
Technology and methodology agnostic, but accepts using tools needed for the requirement
Enjoys coaching and teaching