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Knowledge Graph Jobs in Virginia (NOW HIRING)

Full Stack Developer

Arlington, VA · On-site

$140 - $190/hr

Support the integration of the knowledge graph database and enterprise analytics tools, AI reasoning chains, and mission data. * Develop scalable microservices and containerized applications.

Semantic Modeler

Arlington, VA · On-site

$120K - $135K/yr

Willingness and ability to develop new skills, especially ontology and knowledge graph development Preferred Skills and Experience: * Knowledge of best practices and approaches for search analytics

Semantic Modeler

Arlington, VA · On-site

$120K - $135K/yr

Willingness and ability to develop new skills, especially ontology and knowledge graph development Preferred Skills and Experience: * Knowledge of best practices and approaches for search analytics

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

Responsibilities : • Contribute to building AI-native frameworks that combine physics-based modeling, machine-learning methods, knowledge-graph and ontology-based scientific data infrastructures ...

Senior Software Engineer

Herndon, VA · On-site

$140 - $180/hr

... knowledge graph capabilities. The Senior Software Engineer serves as a key contributor to the design, development, and sustainment of mission-critical software solutions that enable semantic data ...

Showing results 41-60

Knowledge Graph information

What is a knowledge graph?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What are some typical daily responsibilities of a knowledge graph engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are the key skills and qualifications needed to thrive in the knowledge graph position, and why are they important?

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

What are the most commonly searched types of Knowledge Graph jobs in Virginia?

The most popular types of Knowledge Graph jobs in Virginia are:

Infographic showing various Knowledge Graph job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Full Stack Software Engineer with Security Clearance

Redhorse Corporation

Arlington, VA • On-site

$160K - $190K/yr

Other

Posted 25 days ago


Job description

About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. Join the Team Building the Future of AI for National Security Now is an exciting time to join Redhorse Corporation. We are redefining how the U.S. Government transforms data into operational advantage through artificial intelligence, graph analytics, and mission-driven software engineering. Our teams work alongside the Department of Defense to build secure, scalable capabilities that enable analysts and decision-makers to move faster, reason better, and operate with greater confidence. Our approach combines human-centered design, modern software engineering, graph technologies, artificial intelligence, and agile delivery to solve some of the nation’s most challenging problems. About the Role We’re looking for an exceptional Full Stack Software Engineer to support one of the Department of Defense’s most innovative AI transformation efforts. Our team functions and collaborates across multiple workstreams including engineering, mission operations, and executive leadership, ensuring highly technical projects deliver measurable outcomes. Working directly with other engineers, architects, data scientists, analysts, and mission users, the Full Stack Developer will deliver agentic AI and knowledge graph features culminating in an enterprise-level analytics platform. Responsible for designing, developing, and deploying secure, scalable applications that integrate agentic artificial intelligence, large language models (LLMs), knowledge graphs, and traditional enterprise software within Department of Defense (DoD) environments. This role combines modern full stack software development with AI engineering to create intelligent decision-support systems capable of autonomous reasoning, information discovery, workflow automation, and mission planning. This position is ideal for someone who thrives delivering mission-focused work into production, enjoys bringing structure to complexity, and understands that successful AI projects require disciplined execution as much as technical excellence. Key Responsibilities * Design and implement autonomous AI agents capable of planning, reasoning, and executing multi-step workflows. * Develop orchestration pipelines using modern agent frameworks. * Integrate Large Language Models (government-approved) into enterprise applications. * Develop architectures and/or ingestion pipelines that will use structured and unstructured data. * Optimize AI workflows for security, performance, explainability, and reliability. * Develop APIs supporting AI-enabled applications. * Support the integration of the knowledge graph database and enterprise analytics tools, AI reasoning chains, and mission data. * Develop scalable microservices and containerized applications. * Integrate entity resolution tooling into the platform. * Support the design, configuration, and maintenance of knowledge graphs representing mission data. * Develop semantic search and context-aware information retrieval solutions. * Participate in CI/CD pipeline development and automated testing. * Implement secure coding practices consistent with DoD cybersecurity requirements. * Perform vulnerability remediation and support Authority to Operate (ATO) activities. Experience/Clearance * Active Top Secret clearance with SCI eligibility (TS/SCI required). * Bachelor’s degree in Engineering, Computer Science, Information Systems, Artificial Intelligence, Data Science, or related technical discipline. * 5+ experience as a full stack developer with upward trajectory. Experience supporting government or defense programs preferred. * Experience delivering enterprise software to government production environments, including hands on AI/ML initiatives, and complex systems integration efforts. * Experience on Agile, cross-functional engineering teams delivering modern cloud-based solutions. * Understanding of secure software development practices, RMF (Risk Management Framework,) relevant NIST publications. * Strong analytical, debugging, and systems thinking skills with the ability to communicate complex technical concepts to technical and non-technical stakeholders. * Experience translating mission requirements into AI-enabled software solutions. * Passion for emerging AI technologies and continuous learning. * Ability to work independently and collaboratively in multidisciplinary teams. * Commitment to delivering secure, reliable, and mission-focused software solutions. $160,000 - $190,000 a year The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable. Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at  Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.