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Knowledge Engineering Jobs in Washington (NOW HIRING)

Hands-on experience in knowledge management, information architecture, or ontology engineering * Strong Python proficiency * Experience with knowledge base design and management * Understanding of ...

... knowledge engineering practices and mission-aligned content development. • Performs other duties as assigned. • Current Secret security clearance with the ability to obtain and maintain a Top ...

... engineers, warfighters, and mission partners can locate and act on critical program information at the speed of operations . This role is central to ECS's commitment to centralized knowledge ...

... Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to ... Barbaricum is seeking a Knowledge Manager to support TRADOC G2 operations at Fort Eustis, VA ...

Knowledge Manager

Bethesda, MD · On-site

$95K - $115K/yr

As our Knowledge Manager you would provide access and knowledge management for a variety of managed ... We deliver groundbreaking research with advanced software and systems engineering that provides an ...

As our Knowledge Manager you would provide access and knowledge management for a variety of managed ... We deliver groundbreaking research with advanced software and systems engineering that provides an ...

Knowledge Manager The Opportunity: The right interface can make a site easy to use, encourage early ... We're looking for you, a web developer who will use equal parts skill and vision to create an ...

Founded in 2007 by an Engineer-by-trade, Fusion Technology dedicates our valuable resources to ... A minimum of eight (8) years of knowledge/content management and administrative experience in at ...

Founded in 2007 by an Engineer-by-trade, Fusion Technology dedicates our valuable resources to ... A minimum of eight (8) years of knowledge/content management and administrative experience in at ...

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Knowledge Engineering information

What does a knowledge engineer do?

A knowledge engineer designs, develops, and maintains systems that capture and organize knowledge for artificial intelligence and expert systems. They analyze information, create ontologies, and use tools like knowledge bases and reasoning algorithms to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming are essential for this role.

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

How does a Knowledge Engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

What engineers make $500,000?

Senior-level knowledge engineers with extensive experience, advanced skills in data modeling, natural language processing, and machine learning can earn salaries approaching or exceeding $500,000, especially in high-demand industries or companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What engineers make $300,000 a year?

Senior-level engineers in fields such as software engineering, data engineering, and specialized roles like machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. These roles often require strong technical expertise, certifications, and sometimes leadership responsibilities.

How much does a knowledge engineer make?

A knowledge engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI, machine learning, or data management can earn higher salaries. Many positions also require proficiency with tools like ontologies, semantic web technologies, and knowledge bases.

What are the key skills and qualifications needed to thrive as a Knowledge Engineer, and why are they important?

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.
What are popular job titles related to Knowledge Engineering jobs in Washington? For Knowledge Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in Washington look for? The top searched job categories for Knowledge Engineering jobs in Washington are:
What cities in Washington are hiring for Knowledge Engineering jobs? Cities in Washington with the most Knowledge Engineering job openings:
Infographic showing various Knowledge Engineering job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, and 17% Part Time. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.
Knowledge Management Engineer with Security Clearance

Knowledge Management Engineer with Security Clearance

ECS

Falls Church, VA

Other

Posted 21 days ago


Job description

Job Description Everforth ECS is seeking a Knowledge Management Engineer to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax. Please Note: This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational warfighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts. The Knowledge Management Engineer builds and governs enterprise knowledge management capabilities that equip WDP mission stakeholders with fast, accurate, and intuitive access to the information needed to operate effectively across classified and unclassified environments. This role directly supports WDP's customer experience objectives by delivering AI-assisted content tools, structured self-service resources, and disciplined content governance that reduce Tier-1 ticket volume and accelerate operational readiness across the DoW enterprise. • Builds and maintains enterprise knowledge management capabilities supporting mission stakeholders across multi-enclave environments used for defense analytics programs such as War Data Platform (WDP) Core Integration, Joint All-Domain Decision Support, and headquarters-level operational planning systems.
• Develops structured knowledge repositories using SharePoint, Confluence, and ServiceNow Knowledge Base modules, applying controlled vocabulary design, content classification, metadata tagging, and lifecycle governance to organize standard operating procedures, instructional guides, frequently asked questions, and troubleshooting materials.
• Implements artificial intelligence-assisted content generation and recommendation tools to surface relevant guidance, accelerate issue resolution, and reduce Tier-1 ticket volume.
• Configures self-service portals, graphical interfaces, and automated search experiences to improve user navigation, reduce cognitive load, and align with customer experience design objectives.
• Coordinates with onboarding teams, access management personnel, platform engineers, cybersecurity specialists, and data operations teams to validate content accuracy, incorporate new workflows, and reflect evolving system behaviors.
• Conducts analytics on knowledge base utilization, search failure rates, article helpfulness scores, and self-service resolution percentages to identify gaps, develop new material, and improve content quality.
• Supports operational continuity by producing release notes, change summaries, quick reference guides, and mission updates following major system upgrades or capability deployments.
• Participates in customer engagement sessions, training events, and user community forums to gather feedback and integrate field insights into knowledge artifacts.
• Delivers increased operational readiness, faster information retrieval, and higher service desk efficiency through disciplined knowledge engineering practices and mission-aligned content development.
• Performs other duties as assigned. Required Skills • Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance.
• 3 or more years of experience designing, building, and managing enterprise knowledge management systems in a federal government or classified environment, including hands-on development of structured content repositories, self-service portals, and knowledge governance frameworks using platforms such as SharePoint, Confluence, or ServiceNow Knowledge Base.
• Demonstrated experience applying AI-assisted tools, automated search configurations, or retrieval-augmented generation (RAG) techniques to improve knowledge discoverability, content recommendation, and self-service resolution rates within a mission-facing or enterprise IT support environment.
• Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management). Desired Skills • Active Top Secret (TS) security clearance.
• Familiarity with DoW or federal government knowledge management standards, including experience maintaining centralized knowledge repositories in compliance with content lifecycle governance requirements such as archiving, version control, and access-controlled distribution across multi-enclave environments.
• Experience measuring and reporting on knowledge base performance indicators such as search failure rates, article helpfulness scores, and self-service deflection percentages, with demonstrated ability to translate analytics into targeted content improvements.
• Working knowledge of AI/ML content generation tools, large language model (LLM) integrations, or Retrieval-Augmented Generation (RAG) architectures as applied to enterprise knowledge platforms, including familiarity with prompt engineering, domain-specific knowledge grounding, and dynamic policy update capabilities that reduce the need for static user retraining.
• Experience supporting knowledge management functions within an IT service management or help desk environment, including coordination with Tier-1 and Tier-2 support teams to develop troubleshooting content, reduce repeat ticket volume, and align knowledge artifacts with evolving platform capabilities. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven