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Knowledge Graph Jobs in Virginia (NOW HIRING)

Data Architect IV

Chantilly, VA · On-site

$65.25 - $84/hr

  • Medical

  • Life

  • Retirement

  • PTO

Deep expertise in W3C semantic web standards (RDF, OWL, SPARQL), knowledge graph design, ontology engineering, and data lineage pipeline development, with proven ability to build graph-based semantic ...

Applied AI Scientist

Arlington, VA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Applied AI Scientist

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Applied AI Scientist

Ashburn, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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

You will focus on capabilities that automate analysis, reduce cognitive load, and power Babel Street's future Knowledge Graph. A defining aspect of this role is ensuring all AI capabilities are ...

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

Metadata / Data Cataloging Senior Analyst

Mclean, VA · On-site

$86K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... knowledge-graph relationships, and catalog curation practices). This role also leads hands-on evaluation and selection of catalog solutions (AoA) and supports pilots that prove capabilities such as ...

Metadata / Data Cataloging Senior Analyst

Arlington, VA · On-site

$98K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... knowledge-graph relationships, and catalog curation practices). This role also leads hands-on evaluation and selection of catalog solutions (AoA) and supports pilots that prove capabilities such as ...

Metadata / Data Cataloging Senior Analyst

Mclean, VA · On-site

$86K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... knowledge-graph relationships, and catalog curation practices). This role also leads hands-on evaluation and selection of catalog solutions (AoA) and supports pilots that prove capabilities such as ...

Metadata / Data Cataloging Senior Analyst

Arlington, VA · On-site

$98K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... knowledge-graph relationships, and catalog curation practices). This role also leads hands-on evaluation and selection of catalog solutions (AoA) and supports pilots that prove capabilities such as ...

Metadata / Data Cataloging Senior Analyst

Mclean, VA

$87K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... knowledge-graph relationships, and catalog curation practices). This role also leads hands-on evaluation and selection of catalog solutions (AoA) and supports pilots that prove capabilities such as ...

Showing results 41-60

Knowledge Graph information

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 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 most commonly searched types of Knowledge Graph jobs in Virginia?

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

What are popular job titles related to Knowledge Graph jobs in Virginia?

For Knowledge Graph jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Knowledge Graph jobs in Virginia look for?

The top searched job categories for 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, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Data Architect IV

Noblis

Chantilly, VA • On-site

$65.25 - $84/hr

Full-time

Medical, Life, Retirement, PTO

Posted 16 days ago


Job description

Responsibilities
Noblis is seeking a Data Architect IV to support our customer in Chantilly VA.
The Data Architect IV Designs and governs a unified, enterprise-scale data and intelligence layer that integrates traditional infrastructure with graph-based semantic modeling to power advanced AI reasoning and relationship-driven analytics. Bridges data engineering and semantic technologies to build contextually rich data ecosystems optimized for autonomous, agentic workflows and hybrid retrieval (GraphRAG) architectures. Utilizes deep expertise in distributed data systems, streaming architectures, vector integrations, and W3C semantic web standards (RDF, OWL, SPARQL) to design the knowledge graphs, ontologies, and data lineage pipelines necessary to feed continuously evolving context to LLMs. Collaborates closely with AI/ML engineering teams to establish robust data governance, metadata management, and secure semantic reuse frameworks to ensure the scalable, high-performance delivery of graph assets across the enterprise.
Key Responsibilities
  • Designs and governs a unified, enterprise-scale data and intelligence layer that integrates traditional data infrastructure with graph-based semantic modeling, building contextually rich data ecosystems optimized for advanced AI reasoning and relationship-driven analytics.
  • Designs knowledge graphs, ontologies, and data lineage pipelines using W3C semantic web standards (RDF, OWL, SPARQL) to feed continuously evolving context to LLMs, ensuring semantic richness and interoperability across enterprise data assets.
  • Architects hybrid retrieval (GraphRAG) systems that combine graph-based semantic querying with vector search and traditional retrieval methods to power autonomous, agentic workflows and multi-step reasoning capabilities.
  • Designs and implements distributed data systems, streaming architectures, and vector integrations that support high-throughput, low-latency data delivery for real-time AI inference and analytics pipelines.
  • Establishes robust data governance, metadata management, and secure semantic reuse frameworks to ensure data quality, lineage traceability, and compliance across the enterprise data ecosystem.
  • Collaborates closely with AI/ML engineering teams to translate model requirements into scalable data architectures, ensuring graph assets and semantic layers are optimized for LLM consumption, agentic workflows, and production-grade AI systems.
  • Ensures the scalable, high-performance delivery of graph assets across the enterprise by integrating semantic technologies with cloud platforms, vector databases, and orchestration frameworks to support evolving mission requirements.

Required Qualifications
  • US Citizenship is required.
  • Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and ability to obtain a Counterintelligence (CI) Polygraph.
  • Bachelor's degree iwith 10+ years of experience.
  • Eexperience in data architecture, data engineering, or distributed systems design, with demonstrated expertise designing enterprise-scale data platforms and intelligence layers.
  • Deep expertise in W3C semantic web standards (RDF, OWL, SPARQL), knowledge graph design, ontology engineering, and data lineage pipeline development, with proven ability to build graph-based semantic models that power AI reasoning.
  • Proven experience designing and implementing distributed data systems, streaming architectures, and vector integrations that support high-throughput, low-latency data delivery for AI/ML workloads.
  • Demonstrated experience architecting hybrid retrieval systems (GraphRAG) that combine graph-based semantic querying with vector search to power agentic workflows and LLM-driven reasoning.
  • Proven track record establishing robust data governance, metadata management, and secure semantic reuse frameworks at enterprise scale.
  • Deep technical expertise deploying data architectures across cloud platforms (AWS, Azure, or GCP), including vector databases, graph databases, and orchestration frameworks.

Desired Qualifications
  • Active TS/SCI with CI Polygraph
  • Master's degree or PhD in Computer Science, Data Science, Information Science, or a related field; PhD preferred.
  • Experience integrating semantic data layers and knowledge graphs directly with LLM-based systems, including prompt augmentation, context injection, and agentic workflow orchestration.
  • Expertise in graph database platforms (such as Neo4j, Amazon Neptune, TigerGraph, or equivalent) and experience deploying graph assets at enterprise scale.
  • Experience with MLOps, DataOps, or platform engineering practices for managing data pipelines and model serving infrastructure.
  • Intelligence Community Experience: Experience supporting federal, defense, intelligence, or national security missions with enterprise data architecture and semantic technologies.

#UpcomingJobOpportunity
Overview
Overview
Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation's toughest challenges, delivering advanced solutions to our customers' most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.
We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org
Why Work at Noblis
At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission-driven professionals who care deeply about doing work that enriches lives and makes our nation safer.
Noblis has earned numerous workplace awards for our culture, our commitment to employee well-being, and our dedication to meaningful, impactful work. We also maintain a drug-free workplace.
Remote/hybrid status is subject to change based on Noblis and/or government requirements.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
EEO is the Law | E-Verify | Right to Work
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
Posted Salary Range
USD $146,200.00 - USD $228,400.00 /Yr.