Knowledge Engineer Job Description [Updated for 2025]

In the era of information, the role of knowledge engineers has become increasingly crucial.
As we continue to advance into a data-driven world, the demand for skilled individuals who can organize, interpret, and secure our vast knowledge base grows stronger.
But what does it really take to be a knowledge engineer?
Whether you are:
- A job seeker trying to understand the core responsibilities of this role,
- A hiring manager envisioning the perfect candidate,
- Or simply curious about the intricate world of knowledge engineering,
You’ve come to the right place.
Today, we present a customizable knowledge engineer job description template, crafted for effortless posting on job boards or career sites.
Let’s delve right into it.
Knowledge Engineer Duties and Responsibilities
Knowledge Engineers are responsible for creating data sets and designing algorithms to facilitate the development of artificial intelligence (AI) systems.
They use a combination of information technology, mathematics, and problem-solving skills to create intelligent algorithms.
Knowledge Engineers have the following duties and responsibilities:
- Design and implement knowledge-based systems, including expert systems and real-time simulation models
- Analyze and model the decision-making processes of human experts to convert their knowledge into a form that computers can use
- Work with specialists to gather the required information to create efficient algorithms
- Develop and maintain knowledge bases to store complex, structured and unstructured information
- Test and debug knowledge-based systems to ensure they operate effectively
- Train end-users and write user manuals to help them understand and use the knowledge-based systems
- Collaborate with other software developers and engineers to integrate the knowledge-based systems into larger projects
- Stay updated on the latest developments and trends in artificial intelligence and machine learning
Knowledge Engineer Job Description Template
Job Brief
We are seeking a skilled Knowledge Engineer to join our team.
The Knowledge Engineer will be responsible for developing and maintaining knowledge-based systems, integrating existing systems, and assisting in the creation and management of advanced artificial intelligence tools.
Our ideal candidate has a solid background in knowledge engineering, understanding of artificial intelligence, and experience with machine learning algorithms.
The role involves creating complex information databases, executing data mapping, and developing ontologies for knowledge management.
Responsibilities
- Designing and implementing knowledge-based systems and models
- Building and managing complex information databases
- Executing data mapping and creating ontologies for knowledge management
- Collaborating with AI teams to integrate existing systems
- Testing systems and models to ensure optimal performance
- Developing strategies to handle large data sets and databases
- Staying current with the latest technologies and applications in knowledge engineering
- Documenting all processes and systems for future reference
- Providing training and technical support to end users
- Conducting research to identify improvements to existing systems
Qualifications
- Proven experience as a Knowledge Engineer or similar role
- Strong understanding of knowledge engineering principles and artificial intelligence
- Experience with machine learning algorithms and probabilistic inference
- Proficiency with programming languages such as Python, Java, or C++
- Experience with database design and data modelling
- Strong analytical and problem-solving skills
- Excellent technical writing skills
- BSc degree in Computer Science, Engineering or relevant field; postgraduate degree preferred
Benefits
- 401(k)
- Health insurance
- Dental insurance
- Retirement plan
- Paid time off
- Professional development opportunities
Additional Information
- Job Title: Knowledge Engineer
- Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
- Reporting Structure: Reports to the Lead Knowledge Engineer or Knowledge Management Director.
- Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
- Pay Range: $110,000 minimum to $160,000 maximum
- Location: [City, State] (specify the location or indicate if remote)
- Employment Type: Full-time
- Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].
What Does a Knowledge Engineer Do?
Knowledge Engineers are professionals typically employed in the field of artificial intelligence.
They work to create knowledge-based systems, which involve programming expert-level knowledge into a computer system, allowing it to mimic human decision-making.
They work closely with subject matter experts to gather the requisite knowledge and interpret it in a way that can be encoded into computer software.
This process involves various tasks such as knowledge acquisition, knowledge representation, and the creation of knowledge bases.
A Knowledge Engineer’s role involves designing and implementing algorithms and data structures for the representation of knowledge.
They are also responsible for developing inference engines, which are systems that apply logical rules to the knowledge base to deduce new information.
These professionals ensure the system’s performance, troubleshoot issues, and make necessary updates or modifications based on new knowledge or changes in existing knowledge.
Knowledge Engineers also play an important part in the design of user interfaces, ensuring that the system can interact effectively with its users.
In some cases, they may also be responsible for training other team members and clients on how to use the knowledge-based systems effectively.
Knowledge Engineer Qualifications and Skills
Knowledge Engineers require a combination of technical expertise, analytical abilities, and communication skills to effectively gather, organize, and distribute knowledge within an organization.
These include:
- Strong foundational knowledge in Computer Science, Information Systems or related field to understand and apply complex knowledge management theories.
- Expertise in knowledge management systems and software to effectively capture, organize, and deliver information.
- Excellent analytical skills to understand and interpret complex data and information, and turn it into actionable knowledge.
- Proficient in working with artificial intelligence and machine learning algorithms to improve knowledge extraction and delivery processes.
- Superior communication skills to interact with various stakeholders and gather necessary information, as well as explain complex concepts in a simple, understandable manner.
- Strong project management skills to handle various knowledge management projects, ensuring they are completed on time and meet the company’s objectives.
- Good problem-solving skills to address any challenges or issues that arise in the knowledge engineering process, and come up with effective solutions.
Knowledge Engineer Experience Requirements
For entry-level Knowledge Engineer roles, candidates may need at least 1 to 2 years of relevant experience.
This can be obtained through internships, part-time roles, or relevant coursework in knowledge engineering, data science, artificial intelligence, or a related field.
Candidates with 3 to 5 years of experience are often expected to have a more comprehensive understanding of knowledge engineering principles.
This experience can be gained through roles such as Data Analyst, Information Systems Engineer, or similar IT-related roles.
Knowledge Engineers with over 5 years of experience typically have advanced technical skills and have likely led projects or teams.
They have mastered the application of knowledge-based systems, artificial intelligence, and have a broad understanding of technologies used in the development of intelligent systems.
In addition to the technical skills, these professionals should also have strong problem-solving skills, excellent communication abilities, and experience with project management and team leadership.
Knowledge Engineer Education and Training Requirements
Knowledge Engineers typically have a bachelor’s degree in computer science, information technology, or a related field.
They should have a strong foundation in data management and modeling, artificial intelligence (AI), and knowledge-based systems.
In-depth knowledge of languages such as Java, Python, and SQL is beneficial, as these professionals often need to interact with databases and develop algorithms.
A master’s degree in a specialized field such as Data Science or Artificial Intelligence can be highly advantageous for Knowledge Engineers.
This advanced degree can help in understanding and applying complex methodologies in the development of knowledge-based systems.
Practical experience in designing, building, and managing knowledge-based systems is also crucial.
This experience can often be gained through internships, co-op programs, or entry-level positions.
Knowledge Engineers may also benefit from obtaining professional certifications in areas such as data modeling, machine learning, or AI.
These certifications can demonstrate a commitment to staying updated with the latest technologies and methodologies in the field.
In addition to formal education and training, Knowledge Engineers should have excellent problem-solving skills, a keen attention to detail, and the ability to work collaboratively with other IT professionals.
Knowledge Engineer Salary Expectations
The average salary for a Knowledge Engineer is approximately $91,910 (USD) per year.
However, this can fluctuate based on factors such as experience, educational background, specific skill sets, and the location of the job.
The type of industry in which the Knowledge Engineer is employed can also significantly impact salary expectations.
Knowledge Engineer Job Description FAQs
What skills does a Knowledge Engineer need?
Knowledge Engineers need to have strong analytical thinking and problem-solving skills as they are responsible for designing knowledge-based models.
They should also possess excellent communication skills as they often need to collaborate with stakeholders to understand their needs.
Additionally, knowledge of programming languages such as Python or Java, database management, and artificial intelligence is necessary.
Do Knowledge Engineers require a degree?
Yes, most Knowledge Engineers require a degree in Computer Science, Information Technology, or a related field.
Some positions may also require a master’s degree or a special certification in fields such as artificial intelligence or data science.
What should you look for in a Knowledge Engineer’s resume?
A Knowledge Engineer’s resume should reflect a strong background in computer science or a related field.
Look for experience in designing and implementing knowledge-based models, and familiarity with database management systems and artificial intelligence.
Proficiency in programming languages like Python or Java should also be mentioned.
Depending on your specific needs, you might also look for experience with certain tools or technologies relevant to your industry.
What qualities make a good Knowledge Engineer?
A good Knowledge Engineer should have strong analytical and problem-solving skills to design and implement knowledge-based models.
They should also possess excellent communication skills to effectively work with various stakeholders and understand their needs.
A constant drive to learn and adapt to new technologies and methodologies is also a valuable quality in a Knowledge Engineer.
What are the daily duties of a Knowledge Engineer?
A Knowledge Engineer’s daily duties can vary depending on the specific project they are working on.
However, typical responsibilities might include designing and implementing knowledge-based models, maintaining databases, writing code, testing systems, collaborating with various stakeholders to understand their needs, and staying up to date with the latest technologies and methodologies in the field.
Is it difficult to hire Knowledge Engineers?
Hiring Knowledge Engineers can be challenging as the role requires a unique blend of skills, including strong analytical thinking, problem-solving skills, and technical proficiency.
The demand for these professionals is high, and the supply is relatively low.
Offering competitive salaries, growth opportunities, and a stimulating work environment can help attract top talent.
Conclusion
And there you have it.
Today, we’ve demystified what it truly means to be a knowledge engineer.
Surprised?
It’s not just about managing data.
It’s about shaping the information-driven future, one piece of knowledge at a time.
With our comprehensive knowledge engineer job description template and practical examples, you’re ready to make your next move.
But why stop there?
Go further with our job description generator. It’s your reliable tool for creating spot-on job listings or refining your resume to perfection.
Remember:
Every piece of knowledge is a part of the broader context.
Let’s construct that future. Together.
How to Become a Knowledge Engineer (Complete Guide)
Low-Stress, High Reward: Jobs That Offer the Best of Both Worlds
Steady as She Goes: Recession-Proof Jobs for a Secure Future
Tech Tidal Wave: Jobs That Are Drowning in AI Advancements
No More Office Politics: High-Paying Remote Jobs to Boost Your Career!