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Manager Knowledge Graph Jobs in Washington (NOW HIRING)

Marriott

Senior Director, AI Data

Bethesda, MD · On-site

Reporting to the Managing Vice President, Data Services, this role will lead the design and ... Connected Knowledge Graph * Move beyond rows-and-tables thinking toward a relationship-first ...

Enterprise Knowledge

Semantic Modeler

Arlington, VA · On-site

$120K - $135K/yr

Familiarity with best practices in knowledge management * Proven experience analyzing, evaluating ... Willingness and ability to develop new skills, especially ontology and knowledge graph development ...

Enterprise Knowledge

Semantic Modeler

Arlington, VA · On-site

$120K - $135K/yr

Familiarity with best practices in knowledge management * Proven experience analyzing, evaluating ... Willingness and ability to develop new skills, especially ontology and knowledge graph development ...

Geico

Staff Engineer - Applied AI

Bethesda, MD

... and knowledge graph integration. * Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts. * Experience mentoring engineers and ...

GEICO

Staff Engineer - Applied AI

Bethesda, MD · On-site

... and knowledge graph integration. * Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts. * Experience mentoring engineers and ...

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Manager Knowledge Graph information

What is the difference between Manager Knowledge Graph vs Data Analyst?

AspectManager Knowledge GraphData Analyst
Required CredentialsBachelor's degree in Computer Science, Data Science, or related field; knowledge of graph databasesBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or data-driven companiesOffice setting, analyzing data sets, creating reports
Industry UsageUsed in AI, semantic web, knowledge management projectsUsed across finance, marketing, healthcare for data insights

The Manager Knowledge Graph focuses on designing and managing knowledge graph systems, requiring expertise in graph databases and data modeling. Data Analysts primarily interpret data to generate insights, using statistical tools. While both roles work with data, the Manager Knowledge Graph is more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

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

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

What cities in Washington are hiring for Manager Knowledge Graph jobs?

Cities in Washington with the most Manager Knowledge Graph job openings:

Manager Knowledge Graph jobs near you

Full Stack Software Engineer

Arlington, VA

Redhorse Corporation
Manufacturing • 201 - 500 employees
Learn more about Redhorse Corporationexternal

$160K - $190K/yr

Full-time

Re-posted 2 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 [email protected]
 
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.
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