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Full Time Ontology Engineer Jobs (NOW HIRING)

McLean, VA (Hybrid) Terms: Full-time Salary: $150-$185k DOE Clearance: Ability to obtain and ... Translate legacy system behavior into ontology objects, links, and actions * Build data integration ...

Lead Architect

New York, NY · On-site

$60.50 - $82.75/hr

Deep hands-on expertise in ontology engineering and semantic modeling. * Strong insurance domain ... Benefits As a full-time employee of the company or as an hourly employee working more than 30 hours ...

Peoria, IL (Onsite) Employment Type: Full-Time /W2 Job Summary We are looking for a highly skilled ... Develop and manage Ontology Models , Object Types, Actions, and semantic layers. * Create ...

Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days ... Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval ...

Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days ... Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval ...

Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days ... Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval ...

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Full Time Ontology Engineer information

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$36.5K

$107.3K

$137.5K

How much do full time ontology engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time ontology engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are common challenges faced by full time ontology engineers when integrating ontologies with existing data systems?

Full Time Ontology Engineers often encounter challenges such as aligning new ontologies with legacy data structures, ensuring semantic consistency across diverse data sources, and dealing with incomplete or unstructured data. Collaboration with data architects and domain experts is crucial to accurately map concepts and relationships, and to troubleshoot integration issues. Staying updated with evolving standards and tools in semantic technologies is also important to maintain interoperability and long-term scalability.

What skills and qualifications are needed to thrive as a full time ontology engineer?

To thrive as a Full Time Ontology Engineer, you need a strong background in computer science, knowledge representation, and semantic web technologies, often supported by a degree in a related field. Familiarity with tools and languages such as OWL, RDF, SPARQL, Protégé, and experience with ontology management systems is typically required. Strong analytical thinking, attention to detail, and effective collaboration and communication skills help in designing and maintaining complex ontologies. These skills ensure that data is accurately structured, interoperable, and usable for advanced AI and data integration applications.

What does a full time ontology engineer do?

A Full Time Ontology Engineer is responsible for designing, developing, and maintaining ontologies, which are structured frameworks for organizing information and data. They work to define relationships between concepts within a specific domain, often using languages like OWL or RDF. Ontology Engineers collaborate with subject matter experts, data scientists, and software developers to ensure data is semantically consistent and interoperable across systems. Their work is crucial in fields like artificial intelligence, data integration, and knowledge management.

What is the difference between Full Time Ontology Engineer vs Data Scientist?

AspectFull Time Ontology EngineerData Scientist
Required CredentialsDegree in Computer Science, Knowledge Engineering, or related fields; familiarity with ontology languages like OWLDegree in Data Science, Statistics, or related fields; proficiency in programming and statistical tools
Work EnvironmentResearch labs, AI teams, knowledge management projectsBusiness analytics, data analysis teams, tech companies
Industry UsageAI, semantic web, knowledge managementBusiness intelligence, predictive analytics, machine learning

While both roles involve working with data and knowledge, Full Time Ontology Engineers focus on developing and maintaining formal ontologies for AI and semantic web applications. Data Scientists analyze large datasets to extract insights and build predictive models. The roles overlap in data handling but differ in their core focus and tools used.

More about Full Time Ontology Engineer jobs
What cities are hiring for Full Time Ontology Engineer jobs? Cities with the most Full Time Ontology Engineer job openings:
What are the most commonly searched types of Ontology Engineer jobs? The most popular types of Ontology Engineer jobs are:
What states have the most Full Time Ontology Engineer jobs? States with the most job openings for Full Time Ontology Engineer jobs include:
Infographic showing various Full Time Ontology Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Journeyman LLM + Ontology Software Engineer

Isys Technologies

Omaha, NE

Full-time

Posted 21 days ago


Job description

Minimum Clearance RequiredTS/SCIResponsibilities

I2X Technologies is a reputable technology services company to the Federal Government.  Whether the focus is on space exploration, national security, cyber security, or cutting-edge engineering applications, I2X is ready to offer you the chance to make a real-world impact in your field and for your country.  We provide long-term growth and development. Headquartered in Colorado, I2X is engaged in programs across the country and in more than 20 states.  Our programs support multiple Federal agencies, the Department of Defense and often focused on the space initiatives of our government customers.

Job Description: Journeyman LLM + Ontology Software Engineer

I2X Technologies is seeking a Journeyman Journeyman LLM Engineer:

Job Summary:  We are looking for a Journeyman LLM Engineer to develop and enhance intelligent applications that combine Large Language Models (LLMs) with formal ontologies and knowledge graphs.

 Responsibilities:
  • Design and implement solutions that integrate LLMs with ontologies for improved accuracy and reasoning
  • Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge
  • Build and maintain knowledge graphs and ontologies to support LLM applications
  • Fine-tune, prompt engineer, and evaluate LLMs for specific business use cases
  • Create APIs and services that allow applications to interact with LLMs and ontology data
  • Ensure the reliability, scalability, and ethical use of LLM-powered features
  • Collaborate with data scientists, engineers, and domain experts
Qualifications

Requirements:

  • 3-6 years of experience in software engineering with a focus on AI/ML or LLM development
  • Solid experience and proficiency with Java for building scalable back-end services and integrating with LLMs
  • Strong hands-on experience working with Large Language Models
  • Practical experience with ontologies, knowledge graphs (RDF, OWL, or similar), and semantic technologies
  • Proficiency in Python and relevant frameworks (LangChain, LlamaIndex, etc.)
  • Experience with vector databases and retrieval systems
  • Solid understanding of software engineering best practices and version control (Git)

Preferred or Desirable to have:

  • Experience in ontology modeling or semantic web technologies
  • Knowledge of graph databases (Neo4j, GraphDB, etc.)
  • Familiarity with evaluation frameworks for LLMs
  • Experience with cloud platforms (AWS, Azure, or GCP)

Essential Requirements:

US Citizenship is required.

Clearance: TS/SCI

In compliance with Colorado's Equal Pay for Equal Work Act, the annual base salary range for this position is listed . Please note that the salary information is a general guideline only. I2X Technologies considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job with or without reasonable accommodation.

While performing the duties of this job, the employee will regularly sit, walk, stand and climb stairs and steps. May require walking long distance from parking to work station. Occasionally, movement that requires twisting at the neck and/or trunk more than the average person, squatting/ stooping/kneeling, reaching above the head, and forward motion will be required. The employee will continuously be required to repeat the same hand, arm, or finger motion many times. Manual and finger dexterity are essential to this position. Specific vision abilities required by this job include close, distance, depth perception and telling differences among colors. The employee must be able to communicate through speech with clients and public. Hearing requirements include conversation in both quiet and noisy environments. Lifting may require floor to waist, waist to shoulder, or shoulder to overhead movement of up to 20 pounds. This position demands tolerance for various levels of mental stress.

I2X Technologies is an Engineering and Information Technology Company focused on providing Services to the Federal and State Government. I2X offers a competitive compensation program and comprehensive benefits package to our employees.

Employment Type: FULL_TIME