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Knowledge Engineering Jobs in Washington, DC (NOW HIRING)

... • RAG & Knowledge Engineering: Implement advanced Retrieval-Augmented Generation (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and ...

Ten or more years of experience in knowledge engineering, enterprise data, analytics, applied-AI platforms, data architecture, or related disciplines. * At least five years of experience owning end ...

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Knowledge Engineering information

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$14

$35

$65

How much do knowledge engineering jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for knowledge engineering in Washington, DC is $35.73, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $43.03 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a knowledge engineer?

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.

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 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 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. Knowledge engineers often work with AI, machine learning, and data management tools, and advanced skills can lead to higher compensation.

How to become a knowledge engineer?

To become a knowledge engineer, typically a bachelor's degree in computer science, information systems, or a related field is required, along with skills in knowledge representation, logic, and programming languages such as Python or Java. Experience with artificial intelligence, machine learning, and knowledge management tools is also valuable, and some roles may prefer candidates with advanced degrees or certifications in relevant areas.

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 are popular job titles related to Knowledge Engineering jobs in Washington, DC?

For Knowledge Engineering jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Knowledge Engineering jobs in Washington, DC look for?

The top searched job categories for Knowledge Engineering jobs in Washington, DC are:

Infographic showing various Knowledge Engineering job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $74,326 per year, or $35.7 per hour.

Knowledge Manager (Requirements Engineer) - Senior

Leidos

Fort George G Meade, MD • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

80th of 500 rated business services


Job description

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

If this sounds like the kind of environment where you can thrive, keep reading!

The Opportunity

Are you ready to shape the future of global security? The Leidos Intelligence Sector is seeking a skilled Knowledge Manager (Requirements Engineer) - Senior, to support the USCYBERCOM J2 mission, to assist in aligning organizational processes and technology in support of information sharing and analytic production across analyst teams and departments. The Knowledge Manager will leverage centralized and peripheral databases, content management, and records management systems to shape efficient workflows and business processes. This role is critical to compiling reports on usage metrics, performance, and future requirements for knowledge management capabilities-including search, discovery, storage, retrieval, and formal production-and ensuring the effective dissemination of intelligence products across separate networks and portals.

Join a team where your "greatest work" isn't just a slogan-it's our daily standard.

Contract Status: Proposal Phase/Contingent Upon Award.

Security Clearance: Active DoD TS/SCI with Polygraph required. We are not able to sponsor the clearance requirement.

What you'll be doing:

  • Assist in aligning processes and technologies to enable optimal information sharing for analytic production, ensuring that analysts and organizations can efficiently access and leverage relevant data.

  • Use centralized and peripheral databases, content management systems, and records management systems to help design, implement, and enhance workflow processes.

  • Compile reports on system performance and usage metrics, and assess future requirements for knowledge management (KM) capabilities, with a focus on search, discovery, storage, retrieval of data, and task tracking for formal production.

  • Disseminate intelligence products across multiple, distinct networks and secure portals, ensuring timely access for all authorized stakeholders.

  • Apply requirements management methodologies and best practices to support the development or reengineering of processes, aligning them with organizational mission needs and strategic priorities.

  • Serve as a conduit between a wide range of J2 customers-including end users, leadership, and stakeholders-and IT/KM Requirements Analysts, ensuring that user needs and KM requirements are properly captured and integrated into all phases of the requirements management cycle.

  • Identify key organizational customers and suppliers; document and map business-critical processes as needed; design, document, and assess new business processes to ensure compliance with all Department of Defense (DoD) and Intelligence Community (IC) policies.

  • Plan for and implement new processes, including technology and organizational changes, to further the goals and priorities of the knowledge management program.

  • Produce Operating Instructions (OIs) and provide documentation for command-wide programs and initiatives as assigned by the Government, ensuring standardization and clarity in knowledge management practices.

  • Maintain awareness of industry best practices, regulatory requirements, and emerging technologies to continuously enhance the effectiveness and efficiency of knowledge management initiatives.

Needed Experience, Skills, and Education:

  • Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.

  • Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor's degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree. Additional years of experience may be considered in lieu of degree.

Clearance Needed:

  • Active DoD TS/SCI with Polygraph required. We are not able to sponsor the clearance requirement.

Preferred Experience, Skills, and Education:

  • Deep familiarity with USCYBERCOM organizational structure and mission.

  • Prior experience supporting Joint operations across multiple warfighting domains.

  • Experience implementing knowledge-capture processes for lessons learned, TTPs, and best-practice libraries.

  • Knowledge of data-lifecycle management and cross-domain information-sharing solutions.

  • Possession of excellent written and oral communication skills.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:January 26, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $116,350.00 - $210,325.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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