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Knowledge Engineering Jobs (NOW HIRING)

Accenture

Knowledge Engineer Specialist

Tampa, 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 ...

Accenture

Knowledge Engineer Specialist

Milwaukee, WI · 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 ...

Accenture

Knowledge Engineer Specialist

Boston, MA · 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 ...

Peraton

Knowledge Base Engineer

Annapolis Junction, MD · On-site

$104K - $166K/yr

Hands-on experience in knowledge management, information architecture, or ontology engineering * Strong Python proficiency * Experience with knowledge base design and management * Understanding of ...

Accenture

Knowledge Engineer Specialist

Sacramento, CA · 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 ...

Accenture

Knowledge Engineer Specialist

Raleigh, NC · 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 ...

Accenture

Knowledge Engineer Specialist

Cincinnati, OH · 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 ...

Accenture

Knowledge Engineer Specialist

Carmel, 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 ...

Accenture

Knowledge Engineer Specialist

Scottsdale, AZ · 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 ...

Accenture

Knowledge Engineer Specialist

Morristown, TN · 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 ...

Accenture

Knowledge Engineer Specialist

San Francisco, CA · 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 ...

ECS

Knowledge Management Engineer

Falls Church, VA · On-site

... knowledge engineering practices and mission-aligned content development. • Performs other duties as assigned. • Current Secret security clearance with the ability to obtain and maintain a Top ...

Litera

$95K - $120K/yr

Asa Junior Associate, Legal Knowledge Engineeringat Litera, you will be part of a dynamic team that ... Working with our product/engineering/design teams to help set the vision for new legal tech ...

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Knowledge Engineering information

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How much do knowledge engineering jobs pay per hour?

As of Jun 22, 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
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Knowledge Engineering jobs near you
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

Connective Business Solution

Tallahassee, FL • On-site

Full-time

Posted 29 days ago

Job description

General Characteristics
Responsible for developing an infrastructure and process to capture knowledge gained by the organization through successful system interventions and enabling its shared use. Oversees the identification of critical knowledge, its usage, availability and the needs of various business groups. Involved in modeling information sources, flows and critical paths, as well as understanding how information is turned into knowledge and the relationship of knowledge and how it supports and enables key business processes. Facilitates the development of supporting knowledge architecture and standards. Works with operations staff to define an operational framework that defines, develops and implements delivery systems, systems management, policies and security frameworks to ensure delivery of knowledge and information to appropriate groups.
Possesses expertise in process and data modeling, architectural development methodologies, IT planning methodologies and extensive knowledge of the enterprise's business and decision-making processes. Must possess strong leadership skills to gain credibility with various business leaders and stakeholders. Makes complex IT and business decisions. Works with other IT groups to ensure solid cross-functional decisions are made as a team.
Education: Bachelor's or Master's Degree in Computer Science, Information Systems, Business Administration, or other related field. Or equivalent work experience.
Experience: A minimum of 7 years of IT and business/industry work experience. Experience with document management, groupware, relational database systems, data warehouse and data mining, Web and systems analysis/development.
Complexity: Expert/lead technical role. Develops infrastructure and process for identifying and sharing enterprise's core technical and business knowledge. Works on multiple projects as a project leader or as the subject matter expert. Works on projects/issues of high complexity that require demonstrated knowledge across multiple technical areas and business segments. Coaches and mentors more junior technical staff.
*Please note that this application is part of our candidate pool for future staffing needs under our contract with the State of Florida. Positions may not be available immediately, and job locations, assignments, and start dates may vary depending on agency requirements. By applying, you will be considered for current and upcoming opportunities, and we will reach out if a role that matches your skills and qualifications becomes available.*

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