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Knowledge Engineer Jobs in Washington (NOW HIRING)

KBR

Knowledge Manager III

Arlington, VA · On-site

KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. * Collaborative Environment: Be part of a dynamic team that ...

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$25

$53

$83

How much do knowledge engineer jobs pay per hour?

As of Jul 24, 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.

Which 5 jobs will survive AI?

Knowledge engineers design and refine AI systems by creating data models and algorithms, making their roles less susceptible to automation. Jobs that require complex problem-solving, emotional intelligence, creativity, and specialized expertise—such as healthcare professionals, educators, software developers, researchers, and skilled tradespeople—are more likely to endure AI advancements. Continuous learning and adapting to new tools are essential for these roles to remain relevant.

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 information, create knowledge bases, and use tools like ontologies and rule-based systems 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.

What engineers make $200,000 a year?

Senior software engineers, data engineers, and certain specialized roles such as machine learning engineers often earn $200,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation can also include bonuses, stock options, and other benefits, depending on the company and location.

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 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.

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Knowledge Engineer jobs near you
Infographic showing various Knowledge Engineer job openings in Washington as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $112,157 per year, or $53.9 per hour.

Cleared AI/ML Software Engineer - Expert

Sunfire Solutions

Fairfax, VA • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
Sunfire Solutions is a company focused on providing full-stack web-based solutions for government and commercial clients. They are seeking a Cleared AI/ML Software Engineer with extensive experience to work on big-data analysis solutions, mentor junior team members, and tackle technical challenges.
Responsibilities:
• This is primarily an engineering role, so expect to spend the majority of your time coding, analyzing data, and providing technical solutions with a team of engineers.
• Writing clean, professional code, and encouraging others to do the same
• Designing technical solutions given broadly scoped requirements
• Identifying appropriate technologies / stacks to use to meet clients needs
• Streamlining technical processes when necessary for automation / devops
• Troubleshooting and debugging technical issues
• Sharing technical knowledge with other developers
Qualifications:
Required:
• 10+ years of demonstrated software engineering experience
• 5+ years of AI/ML, or Data Science R&D experience
• Extensive knowledge programming in Python, Java, Javascript, C++, or Rust
• Experience with Machine Learning tools (PyTorch, TensorFlow, Scikit-learn)
• Significant experience with database systems (SQL, NoSQL)
• Knowledge of OO design patterns and software architectural patterns
• Experience with web-based communication elements (REST, GraphQL)
• Familiarity with linux operating systems
• Familiarity with AWS services and cloud deployments
• Active US Government Security Clearance (TS/SCI with active poly)
• Excellent communication, organizational, and leadership skills
• Willingness to take on challenges and learn new things
• Desire to be at the forefront of your field
• Ability to work individually or in groups
• BS/BA in Computer Science, related field, or equivalent experience
Company:
At Sunfire Solutions, we believe that brilliant engineering tailored to specific mission requirements is the key to solving the most complex challenges. Founded in 2017, the company is headquartered in Fairfax, VA, US, , with a team of 2-10 employees. The company is currently Early Stage.

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