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Knowledge Engineer Jobs (NOW HIRING)

Air

Knowledge Engineer

Pittsburgh, PA · On-site

We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring ...

Govini

Knowledge Engineer

Pittsburgh, PA · On-site

We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring ...

Everlaw

GTM Knowledge Engineer

New York, NY · On-site

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue Operations, and Information Systems within the Go-to-Market Center of Excellence. In this highly ...

Everlaw

GTM Knowledge Engineer

New York, NY · On-site +1

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue Operations, and Information Systems within the Go-to-Market Center of Excellence. In this highly ...

Everlaw

GTM Knowledge Engineer

Oakland, CA · On-site +1

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue Operations, and Information Systems within the Go-to-Market Center of Excellence. In this highly ...

Everlaw

GTM Knowledge Engineer

Oakland, CA · On-site

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue Operations, and Information Systems within the Go-to-Market Center of Excellence. In this highly ...

Peraton

Knowledge Base Engineer

Annapolis Junction, MD · On-site

$104K - $166K/yr

Responsibilities Peraton Labs is seeking a knowledge base engineer who specializes in designing and managing version-controlled knowledge bases with ontologies, mission briefings, and configurations ...

Peraton

Knowledge Base Engineer

Basking Ridge, NJ · On-site

$104K - $166K/yr

Responsibilities Peraton Labs is seeking a knowledge base engineer who specializes in designing and managing version-controlled knowledge bases with ontologies, mission briefings, and configurations ...

Peraton

Knowledge Management Engineer (KME)

Apo, AE

$80K - $128K/yr

The Knowledge Management Engineer (KME) supports U.S. European Command's (EUCOM) Knowledge Management team in delivering innovative, user-centered solutions that improve decision-making, enhance ...

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Knowledge Engineer information

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How much do knowledge engineer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for knowledge engineer in the United States is $47.61, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $57.69 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.

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Knowledge Engineer jobs near you
Infographic showing various Knowledge Engineer job openings in the United States as of June 2026, with employment types broken down into 36% Full Time, 57% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,026 per year, or $47.6 per hour.
Knowledge Engineer

Knowledge Engineer

Air

Pittsburgh, PA • On-site

Full-time

Posted 22 hours ago

Job description

Company Description
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description

We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring structure to complex defense acquisition data. Working alongside data engineers and data scientists, domain experts, and product teams, you'll create semantic models that provide structured knowledge to AI systems and enable effective search, classification, and analysis across Govini's Ark platform.

This role requires systematic analytical thinking, strong communication skills, and a passion for combining theoretical rigor with practical implementation. The ideal candidate brings hands-on experience in taxonomy and ontology development, along with the ability to guide teams in adopting semantic technologies.

This role is a full-time position located out of our office in Pittsburgh, PA.

This role may require up to 10% travel

Scope of Responsibilities
  • Build and maintain ontologies, taxonomies, and controlled vocabularies for defense acquisition domains
  • Map unstructured data to structured semantic models that integrate with Ark's data infrastructure
  • Establish metadata standards and modeling guidelines in collaboration with data engineering and data science teams
  • Partner with product and domain experts to translate business requirements into semantic solutions
  • Document semantic models and provide guidance to support team adoption and effective use
  • Help drive organization-wide understanding and adoption of semantic technologies and best practices.
  • Track adoption and measure impact, continuously refining models, tools, and practices
Qualifications
  • U.S. Citizenship is required
Required Skills:
  • Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field
  • 3+ years of experience developing ontologies, taxonomies, or knowledge graphs
  • Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g., Neo4j, RDF stores)
  • Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL)
  • Proven ability to collaborate with technical and non-technical stakeholders to translate requirements into semantic models
Desired Skills:
  • Understanding of how AI/ML and generative AI systems leverage structured knowledge and ontologies
  • Active U.S. security clearance or ability to obtain one
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Master's degree in Data Science, Computer Science, Information Systems, or a related field
  • Familiarity with defense acquisition data and processes
  • Experience with data modeling, schema design, or metadata management
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.