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Knowledge Engineering Jobs in Honolulu, HI (NOW HIRING)

Leidos

Knowledge Management Specialist

Aiea, HI · On-site

... engineering, and health industries. At Leidos, we deliver innovative solutions through the efforts ... The Knowledge Management Specialist will support the development, implementation, and continuous ...

New

Leidos

Knowledge Management Specialist

Aiea, HI · On-site

... engineering, and health industries. At Leidos, we deliver innovative solutions through the efforts ... The Knowledge Management Specialist will support the development, implementation, and continuous ...

AECOM

Engineering Intern

Honolulu, HI

$16.50 - $21.50/hr

General knowledge of architectural and engineering drawings. * Some Knowledge of AutoCAD and MicroStation. * Knowledgeable in the Microsoft Office Suite of programs. * Well organized and possesses an ...

AECOM

Engineering Intern

Honolulu, HI · On-site

$16.50 - $21.50/hr

General knowledge of architectural and engineering drawings. * Some Knowledge of AutoCAD and MicroStation. * Knowledgeable in the Microsoft Office Suite of programs. * Well organized and possesses an ...

AECOM

Engineering Intern

Honolulu, HI · On-site

$16.50 - $21.50/hr

General knowledge of architectural and engineering drawings. * Some Knowledge of AutoCAD and MicroStation. * Knowledgeable in the Microsoft Office Suite of programs. * Well organized and possesses an ...

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Knowledge Engineering information

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How much do knowledge engineering jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for knowledge engineering in Honolulu, HI is $31.16, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $37.50 per hour, depending on experience, location, and employer.

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 Honolulu, HI?

For Knowledge Engineering jobs in Honolulu, HI, the most frequently searched job titles are:

What job categories do people searching Knowledge Engineering jobs in Honolulu, HI look for?

The top searched job categories for Knowledge Engineering jobs in Honolulu, HI are:

Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in Honolulu, HI as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $64,811 per year, or $31.2 per hour.

IT Specialist MID

Mcbh Kaneohe Bay, HI

Avening Management and Technical Services, LLC
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Avening Management and Technical Services, LLCexternal

Full-time

Re-posted 28 days ago

Job description

Under general direction, applies specialized knowledge in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution. Applies specialization to conceptualize, design, construct, test and implement portions of business and technical information technology solutions through application of appropriate software development life cycle methodology. Interacts with the customer to gain an understanding of the business environment, technical context and organizational strategic direction.

Defines scope, plans and deliverables for assigned projects. Collects, identifies, defines and organizes detailed user and information technology requirements. Coordinates and collaborates with others in analyzing collected requirements to ensure plans and identified solutions meet customer needs and expectations.

Confirms and prioritizes project plans and deliverables with the customer, participates in business and technical information technology solution implementations, upgrades, enhancement and conversions. Understands and uses appropriate tools to analyze, identify and resolve business and or technical problems. Applies metrics to monitor performance and measure key project criteria.

Prepares system documentation, establishes and maintains security, integrity and business continuity controls and documents. Participates in special studies. Stays current on emerging tools, techniques and technologies.

Assists information engineers on application of specialized knowledge to coding, testing, implementation and documentation projects.

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