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Knowledge Engineer Jobs in Washington (NOW HIRING)

Barbaricum

Knowledge Manager

Washington, DC · On-site

... 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 ...

Fusion Technology LLC

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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How much do knowledge engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for knowledge engineer in Washington is $53.92, according to ZipRecruiter salary data. Most workers in this role earn between $44.38 and $65.34 per hour, depending on experience, location, and employer.

What is a knowledge engineer?

A knowledge engineer works with data and computer systems with the goal of making the technology imitate human thought processes to solve problems that typically require expertise. Working in a sector of artificial intelligence within the information technology field, a knowledge engineer looks at everyday processes and determines what course of thought a human takes to make a decision or begin an activity. They then create computer systems reliant on this extensive data to guide a machine to simulate human cognition and problem-solving. The data validation process is a vital aspect of a knowledge engineer’s job. They must gather an accurate understanding of the tasks at hand and ensure that the data meets specific standards.

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 solid background in computer science, logic, and knowledge representation, often supported by a relevant degree. Familiarity with semantic web technologies, ontology development tools (like Protégé), and knowledge management systems is typically required. Analytical thinking, attention to detail, and strong communication skills help you effectively translate complex information into structured, usable formats. These capabilities ensure that knowledge systems are accurate, interoperable, and valuable for organizational decision-making.

What are some common challenges knowledge engineers face when collaborating with subject matter experts (SMEs)?

Knowledge Engineers often work closely with subject matter experts to extract and formalize complex domain knowledge into structured formats for systems like knowledge bases or AI applications. One common challenge is bridging the communication gap, as SMEs may use specialized jargon or have implicit knowledge that's difficult to articulate. Ensuring accuracy while translating this expertise into machine-readable forms requires patience, active listening, and iterative feedback. Building strong relationships and developing effective questioning techniques are essential for overcoming these challenges and delivering high-quality knowledge models.

What is the difference between Knowledge Engineer vs Data Scientist?

AspectKnowledge EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of ontologies and knowledge basesBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentTypically in AI development teams, focusing on knowledge systems and expert systemsOften in analytics teams, working with large datasets and predictive modeling
Employer & Industry UsageUsed in AI, robotics, and enterprise knowledge managementCommon in tech, finance, healthcare, and marketing sectors

While both roles involve working with data and information, Knowledge Engineers focus on structuring and encoding knowledge for AI systems, whereas Data Scientists analyze data to extract insights and build predictive models. Their skills and tools differ, but both are essential in data-driven industries.

How much do knowledge engineers make?

Knowledge engineers typically earn a median annual salary between $80,000 and $120,000, depending on experience, education, and industry. Senior roles or those with specialized skills in artificial intelligence and data management can earn higher salaries, often exceeding $150,000. Compensation may also include benefits such as bonuses and stock options.
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Knowledge Engineer jobs near you
Infographic showing various Knowledge Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 14% Part Time, 2% Temporary, and 6% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $112,157 per year, or $53.9 per hour.

Knowledge Engineer / KBA Developer

Washington, DC • On-site

Empower AI
IT Services • 1 - 5K employees
Learn more about Empower AIexternal

$111K/yr

Other

Posted 16 days ago

Job description

Overview

Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions. Our proven Empower AI Platform® provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive. For more information, visit www.Empower.ai.

Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company’s commitment to hiring and supporting active-duty and veteran employees.

Responsibilities

We have an exciting opportunity at the Department of State! The Knowledge Engineer / KBA Developer develops, maintains, and enhances KM resources that support the customer’s mission to provide IT services to DoS users enterprise wide.

Responsibilities:

  • In this role, you will execute the Knowledge Management Plan (KMP) and manage program documentation and capture operational knowledge.
  • This includes: SOPs for contractor staff performing contract duties, internal quality control procedures and checklists, contractor training materials and onboarding documentation, contract deliverable templates and submission procedures, escalation procedures and contact lists, lessons learned and continuous improvement documentation.
  • The KBA Developer leads the development and maintenance of Knowledge Base Articles (KBAs) for common IT issues, troubleshooting procedures, and how-to guides.
  • Additionally, you will align SOPs with Information Technology Infrastructure Library (ITIL) framework and DoS standards. Update SOPs to reflect modernization initiatives and emerging technologies.
  • Create role-specific SOPs and Tactics, Techniques, and Procedures (TTPs) for support functions.
  • The role will also ensure we document systems, applications, and databases across all tiers.
  • Maintain logical and physical IT infrastructure diagrams. Document system architecture and data flows.
  • Maintain security policies and compliance documentation. Maintain technical requirements and user guides.
  • The KBA Developer will develop user guides and quick reference materials for common IT tasks.
  • Create orientation materials for new users of KM tools and IT services.
  • You will ensure contractor program documentation in Government‑approved repositories is complete, accurate and within all SLA standards.
Qualifications

EDUCATION AND EXPERIENCE

The following are the education and experience required for this position:

  • 6+ years
  • Bachelor's in IT or related field
  • AWS Certified DevOps Engineer or Azure DevOps Engineer Expert
  • Secret Security Clearance

PREFERRED REQUIREMENTS:

  • ITIL 4 Foundation Certification(s)

PHYSICAL REQUIREMENTS:

This position requires the ability to perform the below essential functions:

  • Sitting for long periods
  • Standing for long periods
  • Ambulate throughout an office
  • Ambulate between several buildings
  • Stoop, kneel, crouch, or crawl as required
  • Repeatedly lift and carry weight up to 40 pounds
  • Travel by land or air transportation 10 % .
About Empower AI

All hiring and promotion decisions at Empower AI are based on merit to bring the best talent available to contribute to our firm’s overall success. It is the policy of Empower AI not to discriminate against any applicant for employment, or employee because of age, color, sex, disability, national origin, race, religion, or veteran status. Empower AI is a VEVRAA Federal Contractor.

Pay Band Min

USD $72,160.00/Yr.

Pay Band Max

USD $111,700.00/Yr.

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