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Knowledge Engineering Jobs in Washington (NOW HIRING)

LV8D Solutions

Ground Systems Engineer

Chantilly, VA · On-site

Capture, document, and transfer critical program knowledge, engineering best practices, lessons learned, and operational insights to support long-term program sustainability. * Assist leadership in ...

SAIC

Ground Systems Engineer

Chantilly, VA · On-site

$160K - $200K/yr

Capture, document, and transfer critical program knowledge, engineering best practices, lessons learned, and operational insights to support long-term program sustainability. * Assist leadership in ...

LV8D Solutions

Ground Systems Engineer

Chantilly, VA · On-site

Capture, document, and transfer critical program knowledge, engineering best practices, lessons learned, and operational insights to support long-term program sustainability. * Assist leadership in ...

Unisity LLC

Agile Developer L3 - Knowledge

Annapolis, MD · On-site

$200K - $210K/yr

The Microservices Developer will be responsible for: * Writing java spring boot based micro service ... Government contract rates; education; relevant prior work experience, knowledge, skills, and ...

Unisity LLC

Agile Developer L3 - Knowledge

Annapolis, MD · On-site

$200K - $210K/yr

The Microservices Developer will be responsible for: * Writing java spring boot based micro service ... Government contract rates; education; relevant prior work experience, knowledge, skills, and ...

Morfologica

Knowledge Management

Reston, VA · On-site

$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 Engineering information

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?

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 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.

Ground Systems Engineer

Science Applications International Corporation

Chantilly, VA • On-site

Full-time

Re-posted 10 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services

Job description

SAIC is looking for a Ground Systems Engineer with Space Domain Operations experience in Chantilly, VA to support a very dynamic and innovative space program office in Chantilly, VA.  The Senior Ground Systems Engineer serves as a key technical contributor responsible for the development, integration, testing, sustainment, and modernization of mission-critical ground systems supporting space operations. This position provides engineering expertise across the system lifecycle and serves as a trusted advisor for ground software, system architectures, integration activities, and operational processes.

The successful candidate will support complex ground system initiatives, collaborate with cross-functional engineering and operations teams, and help ensure the long-term sustainability of critical mission capabilities. This role requires a strong understanding of ground-based space operations, systems engineering principles, software integration, and operational mission support. The engineer will also play a significant role in preserving institutional knowledge and supporting branch-level planning and execution activities.

Key Responsibilities:

  • Lead and support the development, integration, testing, deployment, and sustainment of mission-critical ground systems supporting space operations.
  • Provide technical expertise for ground software, operational workflows, system architectures, and mission support processes.
  • Plan and execute system integration activities involving software, networks, databases, and operational systems to ensure interoperability and mission readiness.
  • Support system verification, validation, performance assessment, troubleshooting, and anomaly resolution efforts.
  • Evaluate existing architectures and engineering processes and recommend improvements that enhance reliability, maintainability, security, and operational effectiveness.
  • Collaborate with government stakeholders, mission operators, software developers, systems engineers, and mission partners to define requirements and implement technical solutions. 
  • Develop, review, and maintain technical documentation, interface specifications, operational procedures, system configurations, and engineering artifacts.
  • Capture, document, and transfer critical program knowledge, engineering best practices, lessons learned, and operational insights to support long-term program sustainability. 
  • Assist leadership in prioritizing engineering efforts and aligning technical activities with mission objectives and program goals.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
  • Bachelor's degree in Systems Engineering, Software Engineering, Computer Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, or a related technical discipline.
  • 9+ years of experience supporting ground systems engineering, software integration, systems development, testing, or mission operations within the defense, intelligence, aerospace, or space domains.
  • Demonstrated experience supporting complex system integration and test activities within operational environments.
  • Strong understanding of systems engineering principles, software development lifecycles, configuration management, and verification and validation processes.
  • Experience supporting operational ground systems, mission planning systems, command and control systems, or space mission operations.
  • Ability to analyze complex technical issues and develop effective engineering solutions.
  • Experience developing and maintaining technical documentation and engineering artifacts.
  • Strong communication and collaboration skills with the ability to engage technical and non-technical stakeholders.
  • Active TS/SCI clearance with polygraph; eligibility for required program access.

Desired:

  • Familiarity with ground control systems, satellite operations, mission management systems, and command-and-control architectures.

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