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Knowledge Engineer Jobs (NOW HIRING)

Deloitte

Delivery Management Engineer III

Atlanta, GA · On-site

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Scadea Solutions Inc

LTE Engineer

Warren, NJ · On-site

Warren, NJ Exp - 7yrs Duration: 1 Year Requirement: - Junior engineer less than 5 years, Modem Developer with LTE knowledge - Engineer shall be flexible to work on development and testing ...

Squirro

Knowledge Graph Engineer

New York, NY · On-site

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graph-driven SaaS solutions for enterprise ...

Squirro

Knowledge Graph Engineer

New York, NY · Remote

We are looking for a Knowledge Graph Engineer to join our team in the US, supporting the Delivery team in designing, implementing, and deploying knowledge graph-driven SaaS solutions for enterprise ...

LTS

Senior Applied AI Engineer

Charleston, WV · Remote

$113K - $149K/yr

Knowledge Engineer * Collaborate with software engineers to improve knowledge ingestion, document processing, semantic search, embeddings, and enterprise knowledge management. * Design approaches ...

LTS

Senior Applied AI Engineer

$125K - $165K/yr

Knowledge Engineer * Collaborate with software engineers to improve knowledge ingestion, document processing, semantic search, embeddings, and enterprise knowledge management. * Design approaches ...

LTS

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

Knowledge Engineer * Collaborate with software engineers to improve knowledge ingestion, document processing, semantic search, embeddings, and enterprise knowledge management. * Design approaches ...

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Knowledge Engineer information

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How much do knowledge engineer jobs pay per hour?

As of Aug 24, 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 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.

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.

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 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.

How much do knowledge engineers make?

Knowledge engineers typically earn a median annual salary between $80,000 and $120,000, depending on experience, education, and industry. Senior roles or those with specialized skills in artificial intelligence and data management can earn higher salaries, often exceeding $150,000. Compensation may also include benefits such as bonuses and stock options.
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Knowledge Engineer jobs near you
Infographic showing various Knowledge Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $99,026 per year, or $47.6 per hour.

Delivery Management Engineer III

Deloitte

Atlanta, GA • On-site

Full-time

Re-posted 5 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services

Job description

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