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Knowledge Engineering Jobs in New Jersey (NOW HIRING)

NDI Engineering

Computer Engineer/Analyst

Lakehurst, NJ · On-site

$90K - $130K/yr

Knowledge of Networks * Software CM knowledge Life Cycle System Support * Participate in System Program Reviews, Technical Reviews, Technical Exchange Meetings, Engineering Team Meetings and other ...

NDI Engineering

Computer Engineer/Analyst

Lakehurst, NJ · On-site

$90 - $130/hr

Knowledge of Networks * Software CM knowledge Life Cycle System Support * Participate in System Program Reviews, Technical Reviews, Technical Exchange Meetings, Engineering Team Meetings and other ...

Tiffany & Co

Experienced Jeweler - NJ

Whippany, NJ · On-site

$34 - $56/hr

Tiffany & Co. product knowledge * Engineering ability * Fabrication experience * Assembly experience * Gemstone setting experience * Non-precious stone setting experience * Basic computer knowledge ...

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Knowledge Engineering information

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 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.

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.

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 much does a knowledge engineer make?

The average salary for a knowledge engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Knowledge engineers often work with AI, machine learning, and data management tools, and advanced skills can lead to higher compensation.

How to become a knowledge engineer?

To become a knowledge engineer, typically a bachelor's degree in computer science, information systems, or a related field is required, along with skills in knowledge representation, logic, and programming languages such as Python or Java. Experience with artificial intelligence, machine learning, and knowledge management tools is also valuable, and some roles may prefer candidates with advanced degrees or certifications in relevant areas.

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 information, create ontologies, and use tools like knowledge bases and reasoning algorithms to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming are essential for this role.

What are popular job titles related to Knowledge Engineering jobs in New Jersey?

For Knowledge Engineering jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Knowledge Engineering jobs in New Jersey look for?

The top searched job categories for Knowledge Engineering jobs in New Jersey are:

What cities in New Jersey are hiring for Knowledge Engineering jobs?

Cities in New Jersey with the most Knowledge Engineering job openings:

Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Knowledge and Innovation Attorney

Lowenstein Sandler

Roseland, NJ • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Description
Who We Are:
Lowenstein Sandler is a one of the most sophisticated law firms in the United States, with over 400 lawyers and 300 business services professionals serving clients from offices in New York, Palo Alto, Roseland, Salt Lake City, San Francisco, Washington, D.C., and Wilmington. We recruit candidates who seek a collaborative, entrepreneurial culture that prioritizes our clients, our colleagues, and the communities where we work and live. Committed to career development and to a diverse and inclusive workplace, the firm offers many programs and opportunities for personal and professional growth. We seek professionals for our business services group who share these values.
What You Will Do:
Lowenstein Sandler is seeking a Knowledge and Innovation Attorney to help shape how legal work gets done at the firm. The role has a dual mandate: capture the firm's know-how and turn it into precedents, practice tools, and structured, AI-ready data; and partner with attorneys to design and embed AI-enabled tools and workflows into daily practice.
Reporting to the Director of Knowledge Management and Research, you will work across the firm's transactional or bankruptcy and litigation practices to decide what knowledge is worth preserving, route it into the firm's knowledge systems and data lake, and activate it through AI-assisted research and drafting. A trusted peer to practicing attorneys, the person in this role is a cornerstone of the firm's Vision 2030 AI and data transformation initiative.
Essential Job Requirements:
Knowledge Capture & Precedent Development:
  • Identify high-value precedent, work product, and matter data across the firm's practices and route it into the firm's knowledge systems and data lake.
  • Debrief matter teams to harvest know-how, negotiated positions, market terms, and lessons learned.
  • Distill negotiated documents into model forms, annotated precedents, clause banks, playbooks, and decision trees, and keep those assets current.

Innovation & AI Enablement:
  • Partner with practice group leaders to surface opportunities to improve workflows, quality, and client value; evaluate, pilot, and scale legal technologies from scoping through rollout.
  • Design, test, and refine AI prompts and workflows for specific legal use cases, contributing to a firm-wide prompt library and workflow playbook.
  • Embed AI tools - Harvey, Microsoft Copilot, and others - into day-to-day legal work, integrated with firm systems including iManage and Aderant.
  • Support AI governance frameworks, usage guidelines, and quality assurance, and provide well-grounded recommendations on emerging legal AI.

Training, Adoption & Collaboration:
  • Deliver training, user guides, and adoption strategies for AI tools and knowledge resources; serve as a credible, approachable resource for attorneys navigating new tools.
  • Partner with practice leaders to set knowledge priorities and drive adoption across the firm.
  • Act as a bridge among attorneys, IT, Knowledge Management, innovation leadership, and vendors.

Skills, Knowledge and Abilities:
Required:
  • J.D. from an accredited law school and active U.S. bar admission (any jurisdiction).
  • 3-5+ years of substantive practice experience at a large law firm (transactional, bankruptcy, and/or litigation).
  • Excellent drafting skills and the judgment to recognize which precedents, provisions, and data points carry lasting value.
  • Experience with legal technology, AI tools, or innovation initiatives, and a practical understanding of law firm workflows and operations.
  • Strong project management skills, with the ability to advance multiple workstreams through to adoption.
  • Exceptional communication skills - distilling complex matters into clear, reusable knowledge and translating technical concepts for attorney audiences.

Preferred:
  • KM Experience: Prior experience as a knowledge management or practice innovation attorney, professional support lawyer, or comparable role.
  • Legal Tech & Data Fluency: Familiarity with knowledge and experience management platforms, data lakes and analytics, and document automation.
  • AI Fluency: Hands-on experience with generative AI tools (Harvey, Copilot, Claude, or similar), including prompt engineering and tool evaluation.
  • Collaborative Style: Builds trusted partnerships across practice groups and business services, influencing through credibility and responsiveness, not mandate.

What Makes This Role Distinctive?
This role is the firm's engine for capturing what the firm knows and changing how the firm works - extracting the precedent and data that feed the firm's data lake, then activating that knowledge through AI-enabled workflows attorneys actually use. The ideal candidate brings the credibility of a practicing lawyer, the judgment to know which knowledge matters, and a builder's enthusiasm for making expertise reusable.
Office Location: Roseland, NJ or New York, NY (Hybrid)
Schedule: Full-time, Monday through Friday
  • NJ: 9:00 AM - 5:00 PM
  • NY: 9:30 AM - 5:30 PM

Amount of Travel Required: Ability to travel to other locations as necessary, including New York, Washington DC, Delaware, San Francisco, Bay Area California, or Utah.
The expected salary range for candidates meeting the requirements of this position is $250,000 to $300,000. The range provided is the salary that Lowenstein Sandler in good faith believes at the time of this posting that it is willing to pay for the advertised position. Exact compensation will be determined based on individual candidate qualifications and location. Our benefits package includes coverage options for medical, dental, vision, prescription drug, life insurance, disability, FSAs, 401K, and paid time off.
Disclaimers:
This job description is not designed to cover or contain a comprehensive listing of all activities, duties, or responsibilities required by employee.
Lowenstein Sandler LLP is not accepting resumes from search firms for this position. Regardless of past practice, all resumes submitted by search firms are to be deemed the sole property of Lowenstein Sandler LLP, and no fee will be paid in the event the candidate is hired by Lowenstein Sandler LLP as a result of the referral.
Lowenstein Sandler LLP is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, veteran status, gender identity, genetic information, or any other characteristic protected by federal, state, or local law.

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