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Knowledge Engineer Jobs (NOW HIRING)

Cook Systems

Knowledge Engineer

Tallahassee, FL · On-site

We are seeking an experienced Knowledge Management Architect who will develop the infrastructure and processes necessary to capture, share, and utilize organizational knowledge gained through ...

Accenture

Senior Knowledge Engineer

Dallas, TX · On-site

$103K - $142K/yr

Lead knowledge engineering discovery workshops and working sessions with client stakeholders to surface, validate, and formalize domain knowledge requirements. * Collaborate with AI/ML engineers to ...

Accenture

Senior Knowledge Engineer

Tampa, FL · On-site

$98K - $135K/yr

Lead knowledge engineering discovery workshops and working sessions with client stakeholders to surface, validate, and formalize domain knowledge requirements. * Collaborate with AI/ML engineers to ...

Socket.dev

Senior Knowledge Engineer

Dallas, GA · On-site

$120 - $190/hr

Lead knowledge engineering discovery workshops and working sessions with client stakeholders to surface, validate, and formalize domain knowledge requirements. * Collaborate with AI/ML engineers to ...

Accenture

Senior Knowledge Engineer

Atlanta, NE · On-site

$124K - $171K/yr

Lead knowledge engineering discovery workshops and working sessions with client stakeholders to surface, validate, and formalize domain knowledge requirements. * Collaborate with AI/ML engineers to ...

Everlaw

GTM Knowledge Engineer

Oakland, CA · On-site

$133 - $169/hr

See All JobsBack to Careers OverviewApply NowAs our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue Operations, and Information Systems within the Go-to ...

Accenture

Senior Knowledge Engineer

Dallas, TX · On-site

$103K - $142K/yr

Lead knowledge engineering discovery workshops and working sessions with client stakeholders to surface, validate, and formalize domain knowledge requirements. * Collaborate with AI/ML engineers to ...

Everlaw

GTM Knowledge Engineer

New York, NY · On-site

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue Operations, and Information Systems within the Go-to-Market Center of Excellence. In this highly ...

Accenture

Senior Knowledge Engineer

Columbus, OH · On-site

$100K - $138K/yr

Lead knowledge engineering discovery workshops and working sessions with client stakeholders to surface, validate, and formalize domain knowledge requirements. * Collaborate with AI/ML engineers to ...

Everlaw

GTM Knowledge Engineer

Oakland, CA · On-site

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue Operations, and Information Systems within the Go-to-Market Center of Excellence. In this highly ...

Computer Services, Inc.

AI Knowledge Engineer

The AI Knowledge Engineer plays a foundational role in enabling scalable AI capabilities by structuring, organizing, governing, and maintaining the knowledge assets that power AI retrieval and ...

Socket.dev

Knowledge Engineer / KBA Developer

Reston, VA · On-site

$72 - $112/hr

The Knowledge Engineer / KBA Developer develops, maintains, and enhances KM resources that support the customer's mission to provide IT services to DoS users enterprise wide. Responsibilities: * In ...

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Norstella

Senior Life Sciences Knowledge Engineer

$107K - $146K/yr

Description Senior Life Sciences Knowledge Engineer About us: Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization ...

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How much do knowledge engineer jobs pay per hour?

As of Aug 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 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.

Knowledge Engineer

Cook Systems

Tallahassee, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

About Cook Systems
Since 1990, Cook Systems has partnered with organizations across the country to solve technology challenges and build strong technology teams. As a veteran-owned IT consulting company, we combine decades of industry experience with a continued focus on how technology, AI, and the way people work are evolving.
Our work spans technology consulting, talent development, and AI-enabled solutions. We value people who take ownership, adapt quickly, communicate well, and care about the quality of their work. Whether you're early in your career or bringing years of experience, you'll have the opportunity to keep building your skills, contribute to meaningful client work, and grow with a company that continues to evolve with the industry.
Summary: We are seeking an experienced Knowledge Management Architect who will develop the infrastructure and processes necessary to capture, share, and utilize organizational knowledge gained through successful system interventions. The role involves overseeing the identification of critical knowledge, its usage, availability, and aligning it with the needs of various business groups. The ideal candidate will facilitate the development of knowledge architecture and standards, partnering with operations staff to ensure the delivery of knowledge and information to appropriate groups.
Responsibilities:
  • Develop and implement infrastructure and processes to capture and share organizational knowledge.
  • Oversee the identification and utilization of critical knowledge across business groups.
  • Model information sources, flows, and critical paths to understand how information is transformed into knowledge.
  • Facilitate the development of supporting knowledge architecture and standards.
  • Define an operational framework to implement delivery systems, systems management, and security frameworks.
  • Collaborate with IT groups to ensure cohesive cross-functional decision-making.
  • Provide leadership in making complex IT and business decisions.
  • Coach and mentor junior technical staff, acting as a subject matter expert on high-complexity projects.

Required Skills:
  • Bachelor's or Master's degree in Computer Science, Information Systems, Business Administration, or related field, or equivalent work experience.
  • A minimum of 7 years of IT and business/industry work experience.
  • Expertise in process and data modeling, architectural development methodologies, and IT planning methodologies.
  • Strong knowledge of document management, groupware, relational database systems, data warehouse, and data mining.
  • Experience in web and systems analysis/development.
  • Proven leadership skills with the ability to gain credibility with business leaders and stakeholders.
  • Ability to work on high-complexity projects and make informed decisions across multiple technical areas and business segments.

#Ll-Onsite
Benefits at Cook Systems
We want our employees to have benefits that support their health, financial well-being, and life outside of work. Eligible Cook Systems employees have access to a comprehensive benefits package beginning the first of the month following their hire date, including:
  • Medical coverage through Blue Cross Blue Shield, with two plan options
  • Dental and vision coverage
  • Life, critical illness, and accident insurance through Unum
  • Flexible Spending Account and Dependent Care FSA options through Navia
  • Health Gap Insurance through Sun Life
  • 401(k) retirement plan through The Standard, with eligibility after six months

Beyond benefits, Cook Systems is a place where we expect people to take ownership of their work, communicate openly, continue learning, and contribute to the teams and clients they support.
We have been building technology careers and client partnerships for more than three decades, and we continue to evolve with the industry. If you're looking for an opportunity to do meaningful work, develop your capabilities, and be part of what comes next in technology, we'd like to hear from you.

Apply