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Knowledge Engineering information

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 South Carolina?

For Knowledge Engineering jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Knowledge Engineering jobs in South Carolina look for?

The top searched job categories for Knowledge Engineering jobs in South Carolina are:

What cities in South Carolina are hiring for Knowledge Engineering jobs?

Cities in South Carolina with the most Knowledge Engineering job openings:

Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Knowledge Manager Specialist

RMF Engineering, Inc

Charleston, SC

$70K - $80K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 16 days ago

Job description

RMF is a specialized MEP Engineering firm dedicated to serving clients from our 12 offices in the eastern US. Our talented and dedicated staff are committed to technical excellence and a high level of service, and we have thus enjoyed continuous growth over our 43 years in business.

The growth of the practice combined with our migration to Vantagepoint as our CRM platform has created the need for a person to manage the flow of information within our firm and to monitor the quality of entry, access to, and output from this system.

The Knowledge Manager Specialist  is responsible for maintaining accurate and complete data within Deltek Vantagepoint used throughout the firm. This position serves as the primary owner of project, client, employee, and business development data, ensuring consistency, accuracy across the firm.

(Salary Range: $70,000 - $80,000 annually. RMF considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.)

Responsibilities
  • Enter and maintain project, client, contact, employee, and pursuit information in Deltek Vantagepoint.
  • Review and update records to ensure data accuracy, consistency, and completeness.
  • Establish and maintain standardized naming conventions and data entry procedures.
  • Monitor databases for duplicate, outdated, or inaccurate records and perform regular cleanup activities.
  • Process project setups, client updates, employee information, and organizational changes.
  • Perform regular audits to identify missing, inconsistent, or incorrect information.
  • Research and resolve data discrepancies in collaboration with department managers.
  • Maintain documentation of data management procedures and workflows.
  • Assist with data validation for proposals, project tracking, and business development activities.
  • Support monthly, quarterly, and annual reporting requirements.
  • Serve as a resource for employees regarding database processes and data standards.
  • Assist users with locating, updating, and maintaining information in Deltek Vantagepoint.
  • Support special projects related to data collection, migration, and process improvement.
  • Assist in managing a searchable photo and graphic asset library.
  • Create website case studies with a cohesive look, feel, and functionality.
  • Facilitate the dissemination and sharing of knowledge throughout the firm.

Requirements

Skills & Qualifications
  • Outstanding oral and written communication skills
  • Enthusiastic desire to engage in business systems and process improvement
  • Strong organizational and time management skills
  • Knowledge of Content management systems (CMS), experience with Vantagepoint preferred.
  • Experience with RFP processes and business development a plus
  • Experience in an engineering, architecture, or professional services firm preferred.
  • Knowledge of project-based business operations and business development processes.
  • Experience creating reports and dashboards.
  • Familiarity with data quality management and CRM best practices.
Measures of Success

1. Create content once: leverage more content multiple times rather than redeveloping stories we have told before

2. Improved capacity to generate proposal and presentation content

3. Improved knowledge sharing across teams and onboarding for new employees

4. Easy-to-use graphics database with approved image and design assets

5. Leveraging cutting-edge software and tools to complete work effectively and efficiently. High level of data accuracy and completeness.

6. Timely processing of project and client updates.

7. Reduction in duplicate and outdated records.

8. Reliable reporting for leadership and project teams.

9. Consistent adherence to firm data standards and procedures.

Benefits

A stable and professional working environment is offered with competitive salary, excellent employee benefits, which include health and dental insurance, paid holidays, paid vacation, and 401K plan.  We are an equal opportunity employer and take pride in the diversity and dedication of our staff.

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