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Knowledge Engineering Jobs in Bergenfield, NJ (NOW HIRING)

Salesforce, Inc.

Principal Knowledge Engineer

Manhattan, NY · On-site

$197.30 - $313.70/hr

Establish enterprise standards, governance models, engineering patterns, and best practices for Knowledge Graph development, deployment, and lifecycle management.* Define strategies for integrating ...

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 ... Custom GTM Agent Engineering: Design, code, and ship localized context-aware GTM Agents that solve ...

Everlaw

GTM Knowledge Engineer

New York, NY · On-site +1

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 ...

CBRE

Union Engineer 10am-6pm

New York, NY · On-site

$107K/yr

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 ...

CBRE

Union Engineer 2nd Shift

New York, NY · On-site

$53.01/hr

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 ...

CBRE

Union Engineer - Tues-Sat - 3PM-11PM

Purchase, NY · On-site

$51.52/hr

This position is part of CBRE's Engineering & Technical Services function, where our professionals ... Apply in-depth knowledge of standard principles and techniques/procedures to accomplish complex ...

Squirro

Knowledge Graph Engineer

New York, NY · Remote

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 ...

Squirro

Knowledge Graph Engineer

New York, NY

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 ...

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All JobsKnowledge Engineering JobsKnowledge Engineering Jobs in Bergenfield, NJ

Knowledge Engineering information

See Bergenfield, NJ salary details

$13

$33

$61

How much do knowledge engineering jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for knowledge engineering in Bergenfield, NJ is $33.90, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $40.82 per hour, depending on experience, location, and employer.

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 job categories do people searching Knowledge Engineering jobs in Bergenfield, NJ look for?

The top searched job categories for Knowledge Engineering jobs in Bergenfield, NJ are:

What cities near Bergenfield, NJ are hiring for Knowledge Engineering jobs?

Cities near Bergenfield, NJ with the most Knowledge Engineering job openings:

Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in Bergenfield, NJ as of August 2026, with employment types broken down into 3% Internship, 88% Full Time, 6% Part Time, and 3% Temporary. Highlights an 89% In-person, 3% Hybrid, and 8% Remote job distribution, with an average salary of $70,522 per year, or $33.9 per hour.

Director, Semantic & Knowledge Engineering

East Hanover, NJ • Hybrid

Novartis Pharmaceuticals Corporation
See more jobs at Novartis Pharmaceuticals Corporationexternal

$194K - $361K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New

Job description

Band

Level 6


Job Description Summary

#LI-Hybrid
Reporting to the Executive Director, Semantic and Knowledge Engineering, the Director, Semantic and Knowledge Engineering leads the design, implementation, and governance of enterprise semantic models, ontologies, knowledge graphs, and metadata frameworks that power NovaOS. This role partners across Applied AI, Data Science, Product, and Engineering to establish trusted semantic assets that enable interoperable data, AI reasoning, retrieval-augmented generation (RAG), and scalable enterprise intelligence.
The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel.


Job Description

Key Responsibilities:

  • Lead the design and implementation of enterprise ontologies, taxonomies, businessvocabularies, and semantic models.

  • Develop andmaintainknowledgegraphs and semantic services that support AI, analytics, search, and business applications.

  • Partner with AI, Data Science, Product, and Engineering teams to integrate semantic capabilities intoNovaOSproducts and platforms.

  • Establish metadata standards, semantic governance processes, and quality controls for enterprise knowledge assets.

  • Support AI initiatives by developing semantic foundations for RAG, agentic AI, reasoning engines, and contextual search.

  • Evaluate emerging semantic technologies and recommend improvements to the enterprise knowledge architecture.

  • Lead and mentor semantic and knowledge engineers while promoting reusable engineering patterns and technical excellence.

Essential Requirements:

  • Education:Bachelor'sor advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, ora relateddiscipline.

  • 8+ years of experience in semantic technologies, knowledge engineering, metadata management, or enterprise information architecture.

  • Hands-onexpertisewith ontologies, RDF/OWL, knowledge graphs, graph databases, metadata management, and semantic web technologies.

  • Experience implementing semantic solutions that enable AI, analytics, interoperability, and enterprise search.

  • Strong leadership, communication, and stakeholder management skills with experience leading cross-functional technical initiatives.

Desirable Requirements:

  • Experience applying semantic technologies to generative AI, agentic AI, RAG, and enterprise AI platforms.
  • Experience in pharmaceutical, healthcare, or other highly regulated industries.

Novartis Compensation Summary:

The salary for this position is expected to range between $194,600 and $361,400 per year.

The final salary offered isdeterminedbased on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health,lifeand disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days,holidaysand other leaves.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings


Salary Range

$194,600.00 - $361,400.00


Skills Desired

Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis

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