1

Knowledge Engineer Jobs (NOW HIRING)

The Legal Knowledge Engineer will work closely with attorneys, product teams, developers, and AI leadership to translate legal reasoning, workflows, procedures, and institutional knowledge into ...

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 ...

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 ...

Partner with data engineering, platform, product, analytics, and AI teams to align knowledge representation with enterprise data systems and implementation requirements. * Apply foundational and top ...

Partner with data engineering, platform, product, analytics, and AI teams to align knowledge representation with enterprise data systems and implementation requirements. * Apply foundational and top ...

NY · On-site

The Principal Knowledge Engineer is responsible for designing and operating the systems that capture and transform knowledge from consulting engagements. This includes building AI‑powered ...

As a Warranty Engineer you will be responsible for supporting all aspects of the warranty process ... Knowledge of IATF 16949, ISO 9001, and customer-specific automotive quality requirements. * Strong ...

Knowledge & Skills * Bachelor's degree in engineering or related field. Engineering degree preferred. * Minimum 4 years' experience in refinery or process industry. Optimization or commercial ...

As a Warranty Engineer you will be responsible for supporting all aspects of the warranty process ... Knowledge of IATF 16949, ISO 9001, and customer-specific automotive quality requirements. * Strong ...

As a CBRE Union Engineer, you will be a part of a team responsible for a site's equipment ... Apply in-depth knowledge of standard principles and techniques/procedures to accomplish complex ...

next page

Showing results 1-20

Knowledge Engineer information

See salary details

$22

$47

$73

How much do knowledge engineer jobs pay per hour?

As of Sep 13, 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.

What cities are hiring for Knowledge Engineer jobs?

Cities with the most Knowledge Engineer job openings:

What are the most commonly searched types of Knowledge Engineer jobs?

The most popular types of Knowledge Engineer jobs are:

What states have the most Knowledge Engineer jobs?

States with the most job openings for Knowledge Engineer jobs include:

What are popular job titles related to Knowledge Engineer jobs?

For Knowledge Engineer jobs, the most frequently searched job titles are:

Infographic showing various Knowledge Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $99,026 per year, or $47.6 per hour.

Legal Knowledge Engineer

On-site

Modern Family Law
Law Firms • 11 - 50 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Key responsibilities

  • Translate legal reasoning, workflows, and procedural requirements into structured AI-enabled systems.

  • Design decision trees, escalation frameworks, workflow logic, and prompt architectures for family law workflows.

  • Help structure and maintain institutional legal knowledge repositories, workflow playbooks, and operational guidance systems.


Job description

We’re building the future of legal services.

Modern Family Law (“MFL”) is seeking an innovative, systems-oriented, and operationally sophisticated Legal Knowledge Engineer to help design and build the next generation of AI-native legal service delivery systems.

This role serves as the bridge between legal expertise and artificial intelligence systems. The Legal Knowledge Engineer will work closely with attorneys, product teams, developers, and AI leadership to translate legal reasoning, workflows, procedures, and institutional knowledge into scalable AI-enabled systems and operational frameworks.

The ideal candidate possesses a strong understanding of legal workflows and demonstrates the ability to structure complex legal processes into decision trees, workflow logic, prompt architectures, escalation systems, and institutional knowledge frameworks.

This role is central to MFL’s long-term strategy of building AI-assisted and AI-native legal delivery systems designed to improve accessibility, efficiency, consistency, scalability, and client experience while maintaining appropriate human oversight, ethics, and legal compliance.

The Legal Knowledge Engineer will help architect the institutional “brain” of the firm.

Key Responsibilities

• Own evaluation standards – rubrics, golden examples, and human-review/escalation criteria for AI-generated work products.

• Translate legal reasoning, workflows, and procedural requirements into structured AI-enabled systems.
• Design decision trees, escalation frameworks, workflow logic, and prompt architectures for family law workflows.
• Collaborate with attorneys and operational teams to identify opportunities for automation and process improvement.
• Help structure and maintain institutional legal knowledge repositories, workflow playbooks, and operational guidance systems.
• Develop retrieval, prompt orchestration, and workflow execution systems.
• Assist in building AI-powered intake systems, document automation workflows, and client communication systems.
• Partner with product managers, developers, and AI engineers on implementation and testing.
• Help define quality assurance, human-review, and escalation standards for AI-generated work product.
• Monitor AI outputs for consistency, quality, compliance, and operational effectiveness.
• Participate in testing, iteration, and optimization of AI-assisted legal workflows.
• Help document legal workflows, system logic, and governance procedures.
• Stay informed regarding emerging AI technologies, legal technology trends, and evolving regulatory considerations impacting AI in legal services.

• Juris Doctor (JD), paralegal certification, legal operations experience, or equivalent practical legal workflow experience.
• 3+ years of experience in legal operations, legal technology, workflow design, legal process engineering, product operations, or related fields.
• Strong understanding of legal workflows, procedural systems, and operational process design.
• Exceptional analytical and systems-thinking abilities.
• Ability to translate complex legal concepts into structured workflows and operational logic.
• Excellent written and verbal communication skills.
• Strong organizational and project management capabilities.
• Comfortable working in highly collaborative, cross-functional environments.
• Curiosity and enthusiasm regarding AI, automation, and the future of legal services.

Preferred Qualifications

• Experience with generative AI systems, prompt engineering, workflow automation, or knowledge management platforms.
• Familiarity with OpenAI, Anthropic, vector databases, retrieval systems, or orchestration platforms.
• Experience in family law or other high-volume consumer-facing legal practice areas.
• Experience working with software development teams or product organizations.
• Understanding of legal ethics, confidentiality obligations, and AI governance considerations.
• Background in legal innovation, legal operations, or AI-assisted workflow design preferred.

Characteristics of the Ideal Candidate

The ideal candidate combines legal understanding with operational and technical curiosity. They are detail-oriented, highly organized, intellectually curious, and energized by the opportunity to help redesign legal service delivery through thoughtful application of artificial intelligence and workflow engineering.

This individual is comfortable operating between legal and technical teams and enjoys transforming institutional knowledge into scalable operational systems.

They should possess the ability to:
• Simplify complex legal processes.
• Think systematically and architecturally.
• Communicate effectively with both attorneys and technologists.
• Identify operational inefficiencies and design scalable solutions.
• Balance innovation with quality control and risk management.

Compensation & Benefits

Modern Family Law offers highly competitive compensation, performance incentives, comprehensive benefits, and the opportunity to help shape one of the nation’s most innovative family law organizations.

Compensation will be commensurate with experience, technical capability, operational sophistication, and strategic impact potential.

About Modern Family Law

Modern Family Law is one of the nation’s leading family law firms, focused on combining exceptional legal representation with innovation, technology, and client-centered service.

The firm is actively exploring AI-native legal workflows, advanced client experience systems, and new models for increasing accessibility, efficiency, and scalability within legal services.

We believe the future of law belongs to organizations capable of combining outstanding legal talent with thoughtful technological innovation.

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Anywhere -- eligible after 6 months
#J-18808-Ljbffr