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Knowledge Engineering Jobs in Washington (NOW HIRING)

Barbaricum

Knowledge Manager

Washington, DC

... 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 ...

AnaVation

Knowledge Manager

Bethesda, MD

$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 ...

AnaVation

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 ...

Fusion Technology

Knowledge Manager

Washington, DC · On-site

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 ...

Booz Allen Hamilton

Knowledge Manager

Washington, DC

$55K - $126K/yr

Knowledge Manager The Opportunity: When an organization has multiple moving parts in its processes ... You'll analyze discussions with leadership and developers that will help refine your client ...

Booz Allen Hamilton, Inc.

Knowledge Manager

Arlington, VA · On-site

$77K - $176K/yr

... purpose programming languages for data analysis * Experience working with Mavin Smart Systems ... Knowledge of text mining or machine learning techniques * Ability to develop dashboards * Top ...

Booz Allen Hamilton

Knowledge Manager

Washington, DC

$55K - $126K/yr

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 ...

AnaVation

Knowledge Manager

Bethesda, MD

$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 ...

Fusion Technology

Knowledge Manager

Washington, DC · On-site

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 engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses and stock options that contribute to total compensation.

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 200,000 a year?

Senior knowledge engineers, especially those with expertise in artificial intelligence, machine learning, and data science, can earn $200,000 or more annually. High salaries are often associated with extensive experience, advanced certifications, and working in industries like technology, finance, or consulting, typically in roles involving complex problem-solving and specialized tools.

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 require proficiency with knowledge representation, ontologies, and tools like Protégé or OWL.

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:
Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in Washington as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Knowledge Engineer

Crown Point Technologies, LLC

Columbia, MD • On-site

Full-time

Posted 15 days ago

Job description

Job Summary:
Crown Point Technologies, LLC is an Economically Disadvantaged Women-Owned Small Business dedicated to providing critical full-stack software development and data engineering solutions. They are seeking a Knowledge Engineer to support the development of enterprise data and knowledge solutions in a fast-paced pharmaceutical environment, focusing on structuring complex data into clear, usable models that support analytics and decision-making.
Responsibilities:
• Design and maintain ontologies and knowledge models
• Use semantic technologies (RDF, OWL, SPARQL) to structure and query data
• Work with stakeholders to understand data needs and translate them into models
• Build and test knowledge graph prototypes
• Collaborate with engineers and data scientists to integrate solutions into applications and pipelines
• Support data consistency, documentation, and best practices
• Manage multiple priorities in a fast-paced environment
Qualifications:
Required:
• Applicants must be authorized to work in the United States without sponsorship now or in the future.
• Bachelor’s or Master’s degree in a relevant field (Computer Science, Data, etc.)
• 3–7 years of experience with semantic technologies or knowledge modeling
• Experience with ontology tools (e.g., Protégé) or graph databases (e.g., Graph Studio, Neo4j, Stardog)
• Strong communication and problem-solving skills
Preferred:
• Experience in pharma, life sciences, or regulated environments is a plus
• Familiarity with Python is a plus
Company:
Crown Point Technologies, LLC is an Economically Disadvantaged Women-Owned Small Business (EDWOSB) dedicated to providing critical full-stack software development and data engineering solutions and services to both Government and commercial clients. Founded in 2021, the company is headquartered in Columbia, Maryland (MD), US, , with a team of 11-50 employees. The company is currently Early Stage.

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