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Knowledge Engineering Jobs in Newark, NJ (NOW HIRING)

Knowledge Engineer II Location: Remote (USA) Job Summary We are seeking a highly skilled Knowledge ... The ideal candidate will possess expertise in ontology engineering, semantic web technologies ...

New

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue ... Custom GTM Agent Engineering: Design, code, and ship localized context-aware GTM Agents that solve ...

As our first GTM Knowledge Engineer, you'll sit at the intersection of Revenue Enablement, Revenue ... Custom GTM Agent Engineering: Design, code, and ship localized context-aware GTM Agents that solve ...

This job is part of the Engineering and Technical Services job function. They are responsible for ... Apply in-depth knowledge of standard principles and techniques/procedures to accomplish complex ...

Collaborate with product, engineering, and delivery teams to translate customer requirements into ... In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL) * Familiarity with graph ...

Collaborate with product, engineering, and delivery teams to translate customer requirements into ... In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL) * Familiarity with graph ...

Collaborate with product, engineering, and delivery teams to translate customer requirements into ... In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL) * Familiarity with graph ...

Collaborate with product, engineering, and delivery teams to translate customer requirements into ... In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL) * Familiarity with graph ...

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

Required : • 3+ years of experience in knowledge graph engineering, graph database development, or related work. • Proven experience leading technical teams and mentoring engineers to develop ...

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

Required : • 3+ years of experience in knowledge graph engineering, graph database development, or related work. • Proven experience leading technical teams and mentoring engineers to develop ...

Senior Engineer, Knowledge Systems

New York, NY · On-site

$114K - $156K/yr

Partner with Content Design, Product, and Engineering teams to translate knowledge architecture (taxonomy, content models, decision tables, and policy relationships) into technical systems * Stand up ...

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126K - $151K/yr

Required : • 3+ years of experience in knowledge graph engineering, graph database development, or related work. • Proven experience leading technical teams and mentoring engineers to develop ...

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Knowledge Engineering information

See Newark, NJ salary details

$13

$32

$60

How much do knowledge engineering jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for knowledge engineering in Newark, NJ is $32.99, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $39.71 per hour, depending on experience, location, and employer.

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 knowledge bases using tools like logic programming and semantic technologies. Strong analytical skills and understanding of data modeling are essential for this role.

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

How does a knowledge engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

How much does a knowledge engineer make?

A knowledge engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI, machine learning, or data management can earn higher salaries. Many positions also require proficiency with tools like ontologies, semantic web technologies, and knowledge representation languages.

What are the key skills and qualifications needed to thrive as a knowledge engineer?

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.
What are popular job titles related to Knowledge Engineering jobs in Newark, NJ? For Knowledge Engineering jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in Newark, NJ look for? The top searched job categories for Knowledge Engineering jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Knowledge Engineering jobs? Cities near Newark, NJ with the most Knowledge Engineering job openings:
Infographic showing various Knowledge Engineering job openings in Newark, NJ as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $68,625 per year, or $33 per hour.

Associate Director of Artificial Intelligence - Knowledge Transformation

Latham & Watkins LLP

Manhattan, NY • Hybrid

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago


Latham & Watkins rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

12th of 34 rated law firms


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 Associate Director of Artificial Intelligence - Knowledge Transformation is an integral part of Latham's Technology & Information Services team. This role will be responsible for leading a team of expert knowledge professionals who are focused on identifying, curating, structuring, and optimizing the firm's transactional precedents, playbooks, and accumulated practice expertise for use in AI-powered systems, while leading and developing a team of expert knowledge professionals responsible for transforming the firm's institutional legal knowledge into AI-ready assets, providing strategic direction, performance oversight, coaching, and professional development, and ensuring all team members maximize their effective use of AI to better serve the firm. This role will be located in either our New York, Washington D.C., Boston, Los Angeles, or Bay Area 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:

  • Defining and implementing the firm's knowledge transformation strategy, establishing multi-year roadmaps for converting transactional precedents, contract templates, and practice playbooks into structured, AI-optimized knowledge repositories
  • Establishing and overseeing knowledge engineering standards, including taxonomies, metadata schemas, tagging conventions, and quality assurance protocols to ensure consistency, accuracy, and retrievability of knowledge assets across AI systems at scale across the firm
  • Overseeing the development and maintenance of structured knowledge repositories, including clause libraries, negotiation playbooks, market terms databases, brief banks, motion templates, litigation strategy guides, and practice-specific guidance materials optimized for utilization as AI context
  • Partnering closely with Innovation Attorneys, Legal Engineering teams, Knowledge Management Lawyers, AI Services Attorneys, and other technology colleagues to ensure knowledge assets are effectively integrated into AI-powered workflows for document drafting, due diligence, contract analysis, deal execution, legal research, brief drafting, and case strategy development
  • Establishing and monitoring KPIs, quality metrics, and utilization measures for knowledge assets, using data-driven insights to guide prioritization, optimization, and expansion of knowledge transformation initiatives
  • 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 deep expertise in knowledge management, taxonomy development, and information architecture, with the ability to structure complex legal content for optimal AI consumption and retrieval
  • Demonstrate a strong understanding of transactional legal practice, including M&A, finance, and capital markets workflows, with the ability to identify and curate high-value precedents and practice knowledge
  • Exhibit advanced knowledge engineering capabilities, including developing taxonomies, metadata schemas, tagging standards, knowledge repositories, and quality assurance frameworks for AI-powered legal tools

And have:

  • A bachelor's degree, preferably in law, library science, information science, computer science, or a related field
  • A Juris Doctor (JD), preferably
  • A minimum of ten (10) years of experience in knowledge management, legal technology, or legal practice, with demonstrated experience in knowledge engineering, taxonomy development, or AI systems
  • Previous management experience required
  • Experience in transactional legal practice, preferably, with litigation practice experience also valued
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.

Latham & Watkins LLP will consider qualified applicants with criminal histories in a manner consistent with the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).  Please click the link below to review the Ordinance.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Please click the link below to review the Ordinance.

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. #Director #LI-OI1

Pay RangeUSD $300,000.00 - USD $400,000.00 /Yr.Employment Type: FULL_TIME

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