1

Knowledge Engineer Jobs (NOW HIRING)

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

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...

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 ...

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 May 31, 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 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 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.

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:
Who are the top companies hiring for Knowledge Engineer jobs? The top employers for Knowledge Engineer jobs are:
What states have the most Knowledge Engineer jobs? States with the most job openings for Knowledge Engineer jobs include:
Infographic showing various Knowledge Engineer job openings in the United States as of May 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $99,026 per year, or $47.6 per hour.

Legal Knowledge Engineer - Transactional

Latham & Watkins LLP

Redwood City, CA

Full-time

Medical, Life, Retirement, PTO

Posted 20 hours ago


Job description

About Latham & Watkins

Latham & Watkins is one of the world's leading global law firms advising the businesses and institutions that drive the global economy. We are the market leaders in major financial and business centers around the world. Our investment in people, commitment to innovation, and focus on the future empower you to build an incredible career and thrive as an exceptional professional in a supportive culture. If you aspire to be the best, and work with the best, this is where you belong.

About the Role

The Legal Knowledge Engineer - Transactional is an integral part of Latham's Legal Innovation team. This role will be responsible for developing and curating the knowledge foundations that power artificial intelligence (AI)-enabled legal workflows, while creating and maintaining evaluation datasets, test cases, and quality benchmarks for AI-powered tools to support systematic assessment of output accuracy and consistency. This role will be located in either our New York, Boston, or Silicon Valley offices. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence.

Responsibilities & Qualifications

Other key responsibilities include:

  • Developing and implementing quality assurance protocols and evaluation frameworks for AI outputs, establishing standards for accuracy, completeness, and alignment with attorney expectations
  • Translating transactional practice requirements into structured knowledge repositories, prompt templates, and context specifications that optimize AI system inputs for highquality outputs
  • Analyzing AI output quality across workflows by identifying patterns, gaps, and opportunities to improve context, inputs, and evaluation criteria
  • Monitoring and reporting on quality metrics, accuracy measures, and evaluation results for AIpowered workflows, using datadriven insights to guide knowledge asset refinement and context optimization
  • Conducting research to identify best practices for knowledge curation, context management, and AI evaluation methodologies, while staying current with advances in retrievalaugmented generation and legal AI applications
  • Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that Latham & Watkins retains 

We'd love to hear from you if you:

  • Possess strong expertise in knowledge engineering and AI systems, with the ability to curate and structure information to optimize AI inputs and outputs for accuracy, consistency, and alignment with legal practice standards
  • Demonstrate a solid understanding of transactional legal practice, including mergers and acquisitions (M&A), finance, and capital markets workflows, with the ability to translate practice expertise into structured knowledge assets and evaluation criteria
  • Exhibit strong knowledge curation capabilities, including developing reference libraries, context repositories, evaluation datasets, and quality assurance frameworks for AIpowered transactional tools

And have:

  • A bachelor's degree or equivalent, preferably in law, computer science, information systems, or a related field
  • A minimum of three (3) years of experience in legal technology, knowledge management, or legal practice, with demonstrated experience in knowledge curation, artificial intelligence (AI) evaluation, or quality assurance
Benefits & Additional Information

Successful candidates will not only be provided with an outstanding career opportunity and welcoming environment, but will also be provided with a generous total compensation package with bonuses awarded in recognition of both individual and firm performance. Eligible employees can participate in Latham's comprehensive benefit program which includes:

  • Healthcare, life and disability insurance
  • A generous 401k plan
  • At least 11 paid holidays per year, and a PTO program that accrues 23 days during the first year of employment and grows with tenure
  • Well-being programs (e.g. mental health services, mindfulness and resiliency, medical resources, well-being events, and more)
  • Professional development programs
  • Employee discounts
  • Affinity groups, networks, and coalitions for lawyers and staff

Latham & Watkins is an equal opportunity employer. The Firm prohibits discrimination against any employee or applicant for employment on the basis of race (including, but not limited to, hair texture and protective hairstyles), color, religion, sex, age, national origin, sexual orientation, gender identity, veteran status (including veterans of the Vietnam era), gender expression, marital status, or any other characteristic or condition protected by applicable statute.

Please click here  to view the full job description for this role.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. An employer that violates this law may be subject to fines and/or a private right of action for $500 in statutory damages "for each such violation," among other things.

Please click here to review your rights under U.S. employment laws.  #Associate 

Pay RangeUSD $155,000.00 - USD $190,000.00 /Yr.Employment Type: FULL_TIME