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Knowledge Engineer Jobs in Washington (NOW HIRING)

Morfologica

Knowledge Management

Reston, VA

$43K - $50K/yr

Morfologica, Inc. is seeking several Knowledge Management Experts who are willing to support established teams of software engineers at various Federal Facilities throughout Northern Virginia.

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Knowledge Engineer information

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$25

$53

$83

How much do knowledge engineer jobs pay per hour?

As of Jul 1, 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 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 engineers make $500,000?

Senior engineers in fields such as software engineering, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and stock options. High compensation is often associated with leadership positions, working at large tech companies, or in high-demand industries requiring expertise in cloud computing, AI, or cybersecurity.

What are Knowledge Engineers?

Knowledge Engineers are professionals who design, develop, and maintain systems that simulate human knowledge and reasoning. They work at the intersection of computer science, artificial intelligence, and domain expertise to gather and structure information so that machines can use it to solve complex problems. Their responsibilities often include creating knowledge bases, developing ontologies, and implementing rules or logic to enable decision-making in expert systems or AI applications. Knowledge Engineers play a crucial role in enabling organizations to leverage AI for problem solving and automation.

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 domain data, create ontologies, and implement rules using tools like knowledge bases and reasoning engines to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming are essential for this role.

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.

Is AI replacing ECE jobs?

Knowledge engineers develop and manage AI systems, and while AI automation can impact certain tasks, it generally complements ECE (Electrical and Computer Engineering) roles rather than replacing them entirely. ECE professionals with skills in machine learning, programming, and hardware design continue to be essential for developing and maintaining AI technologies.

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.

How much does a knowledge engineer make?

The average salary for a knowledge engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI and machine learning can earn higher salaries, often exceeding $150,000.

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.

More about Knowledge Engineer jobs
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Knowledge Engineer jobs near you
Infographic showing various Knowledge Engineer job openings in Washington as of June 2026, with employment types broken down into 2% As Needed, 56% Full Time, 38% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $112,157 per year, or $53.9 per hour.

Knowledge Manager (Requirements Engineer) - Sr

Nalley Consulting

Fort George G Meade, MD • On-site

$61.50 - $79.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Key responsibilities

  • Aligns processes and technology to enable information sharing for analytic production.

  • Compiles reports on performance and usage metrics and future requirements for knowledge management capabilities.

  • Disseminates intelligence products across separate networks and portals.

Job description

Join the Nalley Consulting team as a Senior-level Knowledge Manager (Requirements Engineer) at Fort Meade, MD.
Knowledge Manager (Requirements Engineer)
LCAT: Senior
Location: Fort Meade, MD. -- OPS
Office: J29
Required clearance: TS/SCI; only candidates with current CI polys taken within the past seven years will be considered per client requirements.
Required experience: 10+ years
Required education: Bachelor's degree or master's degree
Responsibilities
Assists aligning processes and technology to enable information sharing by analysts and organizations for analytic production.
Uses centralized and peripheral databases, content management, records management systems and shapes workflow and processes.
Compiles reports on performance and usage metrics and future requirements for existing knowledge management capabilities including, but not limited to, search, discovery, storage and retrieval of data and formal production and taskings.
Disseminates intelligence products across separate networks and portals.
Applies requirement management methodologies and best practices to assist in developing or reengineering processes in order to better align them with organization mission needs and priorities.
Acts as the conduit between a variety of J2 customers and the IT/KM Requirements Analyst to ensure KM requirements are incorporated into the overall requirement management cycle.
Other duties
  • Identifies organization customers and suppliers.
  • Identifies key processes and documenting as needed.
  • Designing, document and assess new processes and all related DoD and Intelligence Community policies.
  • Plan for new processes to include related changes in technology.

ABOUT NALLEY CONSULTING
Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states.
Nalley Consulting fringe benefits include:
  • Excellent medical, dental, and vision benefits
  • PTO
  • 11 paid federal holidays
  • Tuition assistance
  • Paid military-reserve leave
  • Paid parental leave for birth or adoption
  • 401k matching up to 5 percent of the base salary
  • Flex time
  • Company-paid short-term disability, long-term disability, and life insurance.

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