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Knowledge Engineering Jobs (NOW HIRING)

Establish metadata standards and modeling guidelines in collaboration with data engineering and ... Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL) * Proven ability to ...

Establish metadata standards and modeling guidelines in collaboration with data engineering and ... Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL) * Proven ability to ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

Knowledge Engineer Specialist

Albany, NY · On-site

$70K - $205K/yr

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

Knowledge Engineer Specialist

Austin, TX · On-site

$70K - $205K/yr

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

Knowledge Engineer Specialist

Miami, FL · On-site

$70K - $205K/yr

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

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Knowledge Engineering information

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How much do knowledge engineering jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for knowledge engineering in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

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 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 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 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 engineers make $500,000?

Senior-level knowledge engineers with extensive experience, advanced skills in data modeling, natural language processing, and machine learning can earn salaries approaching or exceeding $500,000, especially in high-demand industries or companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What engineers make $300,000 a year?

Senior-level engineers in fields such as software engineering, data engineering, and specialized roles like machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. These roles often require strong technical expertise, certifications, and sometimes leadership responsibilities.

How much does a knowledge engineer make?

A knowledge engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI, machine learning, or data management can earn higher salaries. Many positions also require proficiency with tools like ontologies, semantic web technologies, and knowledge bases.

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 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.
More about Knowledge Engineering jobs
What cities are hiring for Knowledge Engineering jobs? Cities with the most Knowledge Engineering job openings:
What states have the most Knowledge Engineering jobs? States with the most job openings for Knowledge Engineering jobs include:
What job categories do people searching Knowledge Engineering jobs look for? The top searched job categories for Knowledge Engineering jobs are:
Infographic showing various Knowledge Engineering job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, and 19% Part Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $65,624 per year, or $31.6 per hour.
Knowledge Engineer

Knowledge Engineer

Air

Pittsburgh, PA

Full-time

Posted 29 days 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.