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Knowledge Engineer Jobs (NOW HIRING)

Point72

Knowledge Engineer

New York, NY

$175K - $250K/yr

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:

Point72

Knowledge Engineer

New York, NY · On-site

$175K - $250K/yr

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:

Govini

Knowledge Engineer

Pittsburgh, PA · On-site

We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring ...

Govini

Knowledge Engineer

Pittsburgh, PA

We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring ...

Govini

Knowledge Engineer

Pittsburgh, PA

We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring ...

Burtch Works

Knowledge Engineer

Pittsburgh, PA · On-site

They are seeking a Knowledge Engineer to join their Data Product & Operations team, responsible for building ontologies and semantic models to enhance AI systems and analytics capabilities.

Peraton

Knowledge Base Engineer

Annapolis Junction, MD · On-site

$104K - $166K/yr

Responsibilities Peraton Labs is seeking a knowledge base engineer who specializes in designing and managing version-controlled knowledge bases with ontologies, mission briefings, and configurations ...

Peraton

Knowledge Base Engineer

Basking Ridge, NJ

$104K - $166K/yr

Responsibilities Peraton Labs is seeking a knowledge base engineer who specializes in designing and managing version-controlled knowledge bases with ontologies, mission briefings, and configurations ...

Peraton

Knowledge Base Engineer

Annapolis Junction, MD

$104K - $166K/yr

Responsibilities Peraton Labs is seeking a knowledge base engineer who specializes in designing and managing version-controlled knowledge bases with ontologies, mission briefings, and configurations ...

Peraton

Knowledge Base Engineer

Basking Ridge, NJ

$104K - $166K/yr

Responsibilities Peraton Labs is seeking a knowledge base engineer who specializes in designing and managing version-controlled knowledge bases with ontologies, mission briefings, and configurations ...

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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.

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Knowledge Engineer jobs near you
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.
Knowledge Engineer

Knowledge Engineer

Point72

New York, NY

$175K - $250K/yr

Other

Medical, Retirement

Posted 18 hours 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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