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Knowledge Engineering Jobs (NOW HIRING)

Point72

Knowledge Engineer

New York, NY · On-site

$175K - $250K/yr

Deep understanding of W3C knowledge engineering standards (RDF, SPARQL, OWL, SHACL). * Proven experience with Master Data Management (MDM) and complex entity resolution. * Strong proficiency in ...

Point72

Knowledge Engineer

New York, NY

$175K - $250K/yr

Deep understanding of W3C knowledge engineering standards (RDF, SPARQL, OWL, SHACL). * Proven experience with Master Data Management (MDM) and complex entity resolution. * Strong proficiency in ...

Govini

Knowledge Engineer

Pittsburgh, PA

Establish metadata standards and modeling guidelines in collaboration with data engineering and ... Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL) * Proven ability to ...

Govini

Knowledge Engineer

Pittsburgh, PA

Establish metadata standards and modeling guidelines in collaboration with data engineering and ... Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL) * Proven ability to ...

Burtch Works

Knowledge Engineer

Pittsburgh, PA · On-site

... with data engineering and data science teams. • Cross-Functional Collaboration: Partner with ... knowledge graphs, or semantic models • Experience with ontology editors such as Protégé or ...

ECS

Knowledge Management Engineer

Falls Church, VA · On-site

... knowledge engineering practices and mission-aligned content development. • Performs other duties as assigned. • Current Secret security clearance with the ability to obtain and maintain a Top ...

Peraton

Knowledge Base Engineer

Annapolis Junction, MD · On-site

$104K - $166K/yr

Hands-on experience in knowledge management, information architecture, or ontology engineering * Strong Python proficiency * Experience with knowledge base design and management * Understanding of ...

Peraton

Knowledge Base Engineer

Basking Ridge, NJ

$104K - $166K/yr

Hands-on experience in knowledge management, information architecture, or ontology engineering * Strong Python proficiency * Experience with knowledge base design and management * Understanding of ...

Peraton

Knowledge Base Engineer

Basking Ridge, NJ

$104K - $166K/yr

Hands-on experience in knowledge management, information architecture, or ontology engineering * Strong Python proficiency * Experience with knowledge base design and management * Understanding of ...

Peraton

Knowledge Base Engineer

Annapolis Junction, MD

$104K - $166K/yr

Hands-on experience in knowledge management, information architecture, or ontology engineering * Strong Python proficiency * Experience with knowledge base design and management * Understanding of ...

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How much do knowledge engineering jobs pay per hour?

As of May 31, 2026, the average hourly pay for knowledge engineering in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

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 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 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.

More about Knowledge Engineering jobs
What cities are hiring for Knowledge Engineering jobs? Cities with the most Knowledge Engineering job openings:
What states have the most Knowledge Engineering jobs? States with the most job openings for Knowledge Engineering jobs include:
What job categories do people searching Knowledge Engineering jobs look for? The top searched job categories for Knowledge Engineering jobs are:
Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $65,624 per year, or $31.6 per hour.
Knowledge Engineer

Knowledge Engineer

Point72

New York, NY • On-site

$175K - $250K/yr

Full-time

Medical, Retirement

Posted 29 days ago

Job description

A Career with Point72's Knowledge Graph Intelligence Team
On the Knowledge Graph Intelligence team, you'll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. We're a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision-making and enhance how we build and operate our platforms and applications.
What you'll do
As AI becomes pervasive, carefully designed context is key to its success. We are seeking a Knowledge Engineer to contextualize our organizational data by building the enterprise knowledge graph at the core of our intelligence infrastructure. Specifically, you will:
  • Integrate structured and unstructured datasets into the enterprise knowledge graph.
  • Design and expand the core ontologies underpinning the graph architecture.
  • Enforce data quality and consistency across the graph using SHACL shapes and validation metrics.
  • Evolve our entity master to capture the complexity of our environment without sacrificing precision.
  • Drive accurate entity resolution using methodologies and dedicated tooling.
  • Optimize queries and graph structures to ensure high performance at scale.
  • Develop AI agents and LLM pipelines to automate knowledge extraction and engineering workflows.
What's required
  • 5+ years of experience in knowledge engineering, data engineering, or backend development.
  • Deep understanding of W3C knowledge engineering standards (RDF, SPARQL, OWL, SHACL).
  • Proven experience with Master Data Management (MDM) and complex entity resolution.
  • Strong proficiency in database systems, indexing, and query optimization.
  • Applied knowledge of ontology engineering methodologies.
  • Commitment to the highest ethical standards.

We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
  • Fully-paid health care benefits
  • Generous parental and family leave policies
  • Mental and physical wellness programs
  • Volunteer opportunities
  • Non-profit matching gift program
  • Support for employee-led affinity groups representing women, minorities and the LGBT+ community
  • Tuition assistance
  • A 401(k) savings program with an employer match and more

About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit www.Point72.com.
The annual base salary range for this role is $175,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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