CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.
We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.
If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.
Ontology Engineer Senior
Herndon, VA
$200,000-$220,000 depending on experience and qualifications
TS/SCI clearance with CI polygraph
Full-Time, W-2 Employment
12+ years of relevant professional experience for Senior
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 , 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
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