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Knowledge Engineer Jobs (NOW HIRING)

Norstella

Senior Life Sciences Knowledge Engineer

$107K - $146K/yr

As a Senior Life Sciences Knowledge Engineer at Norstella, you will sit at the intersection of deep scientific domain expertise and applied AI development. This role will be embedded within a group ...

Briggs & Stratton

Warranty Engineer

Stone Mountain, GA · On-site

Advanced knowledge of problem analysis techniques * Advanced mechanical and electrical engineering skills * Advanced problem solving and analytical ability * Advanced communication skills, both ...

Briggs & Stratton

Warranty Engineer

Stone Mountain, GA · On-site

Advanced knowledge of problem analysis techniques * Advanced mechanical and electrical engineering skills * Advanced problem solving and analytical ability * Advanced communication skills, both ...

Vistra Corp

Strategic Engineer

Shippingport, PA

Job Summary This position is responsible for planning and performing engineering duties as assigned, working independently. Reviewing, modifying and approving project specifications of the most ...

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How much do knowledge engineer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for knowledge engineer in the United States is $47.61, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $57.69 per hour, depending on experience, location, and employer.

What are some common challenges Knowledge Engineers face when collaborating with subject matter experts (SMEs)?

Knowledge Engineers often work closely with subject matter experts to extract and formalize complex domain knowledge into structured formats for systems like knowledge bases or AI applications. One common challenge is bridging the communication gap, as SMEs may use specialized jargon or have implicit knowledge that's difficult to articulate. Ensuring accuracy while translating this expertise into machine-readable forms requires patience, active listening, and iterative feedback. Building strong relationships and developing effective questioning techniques are essential for overcoming these challenges and delivering high-quality knowledge models.

What engineers make $500,000?

Senior engineers in fields such as software engineering, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and stock options. High compensation is often associated with leadership positions, working at large tech companies, or in high-demand industries requiring expertise in cloud computing, AI, or cybersecurity.

What are Knowledge Engineers?

Knowledge Engineers are professionals who design, develop, and maintain systems that simulate human knowledge and reasoning. They work at the intersection of computer science, artificial intelligence, and domain expertise to gather and structure information so that machines can use it to solve complex problems. Their responsibilities often include creating knowledge bases, developing ontologies, and implementing rules or logic to enable decision-making in expert systems or AI applications. Knowledge Engineers play a crucial role in enabling organizations to leverage AI for problem solving and automation.

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 domain data, create ontologies, and implement rules using tools like knowledge bases and reasoning engines to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming are essential for this role.

What is the difference between Knowledge Engineer vs Data Scientist?

AspectKnowledge EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of ontologies and knowledge basesBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentTypically in AI development teams, focusing on knowledge systems and expert systemsOften in analytics teams, working with large datasets and predictive modeling
Employer & Industry UsageUsed in AI, robotics, and enterprise knowledge managementCommon in tech, finance, healthcare, and marketing sectors

While both roles involve working with data and information, Knowledge Engineers focus on structuring and encoding knowledge for AI systems, whereas Data Scientists analyze data to extract insights and build predictive models. Their skills and tools differ, but both are essential in data-driven industries.

Is AI replacing ECE jobs?

Knowledge engineers develop and manage AI systems, and while AI automation can impact certain tasks, it generally complements ECE (Electrical and Computer Engineering) roles rather than replacing them entirely. ECE professionals with skills in machine learning, programming, and hardware design continue to be essential for developing and maintaining AI technologies.

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 solid background in computer science, logic, and knowledge representation, often supported by a relevant degree. Familiarity with semantic web technologies, ontology development tools (like Protégé), and knowledge management systems is typically required. Analytical thinking, attention to detail, and strong communication skills help you effectively translate complex information into structured, usable formats. These capabilities ensure that knowledge systems are accurate, interoperable, and valuable for organizational decision-making.

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. Senior roles or those with specialized skills in AI and machine learning can earn higher salaries, often exceeding $150,000.

What Is a Knowledge Engineer?

A knowledge engineer works with data and computer systems with the goal of making the technology imitate human thought processes to solve problems that typically require expertise. Working in a sector of artificial intelligence within the information technology field, a knowledge engineer looks at everyday processes and determines what course of thought a human takes to make a decision or begin an activity. They then create computer systems reliant on this extensive data to guide a machine to simulate human cognition and problem-solving. The data validation process is a vital aspect of a knowledge engineer’s job. They must gather an accurate understanding of the tasks at hand and ensure that the data meets specific standards.

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Knowledge Engineer jobs near you
Infographic showing various Knowledge Engineer job openings in the United States as of June 2026, with employment types broken down into 36% Full Time, 57% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,026 per year, or $47.6 per hour.
Knowledge Engineer | Remote role | W2 Only |

Knowledge Engineer | Remote role | W2 Only |

Xlysi

Chicago, IL • Remote

Other

Posted 11 days ago

Job description

Design and maintain enterprise knowledge repositories and document management solutions using SharePoint.
Work closely with business users, healthcare SMEs, data engineers, and architects to capture, organize, and govern organizational knowledge.
Develop and maintain metadata models, taxonomies, and information architecture standards.
Build and optimize data pipelines using Databricks and Snowflake to support reporting, analytics, and AI initiatives.
Transform healthcare data from multiple source systems into usable business knowledge assets.
Collaborate with data engineering teams to ensure data quality, lineage, governance, and accessibility.
Support enterprise search, knowledge discovery, and AI-powered information retrieval initiatives.
Create and maintain documentation, knowledge articles, process flows, and technical standards.
Work with structured and unstructured healthcare data, including clinical, operational, and financial datasets.
Participate in data governance activities and ensure compliance with healthcare regulations and organizational policies.
Partner with cross-functional teams to improve knowledge sharing and reduce information silos across the organization.
Required Skills & Experience
8+ years of overall IT experience.
4+ years of experience in Knowledge Management or Knowledge Engineering roles.
Strong hands-on experience with SharePoint Online and Microsoft 365 collaboration tools.
Experience working with Databricks, Apache Spark, and Lakehouse architectures.
Strong experience with Snowflake data warehousing and data modelling.
Solid understanding of Data Engineering concepts including ETL/ELT, data integration, and data quality management.
Experience working within healthcare environments and healthcare data domains.
Knowledge of healthcare standards such as HL7, FHIR, ICD, Claims, Provider, and Member data is highly desirable.
Strong SQL and data analysis skills.
Experience with Python, PySpark, or similar data engineering technologies.
Understanding of enterprise information architecture, metadata management, and taxonomy design

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About Xlysi

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Princeton Junction, NJ, US

Year founded

2006

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