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Knowledge Engineering Jobs in Texas (NOW HIRING)

... engineers to translate knowledge into formal models. - Govern ontology lifecycle, versioning, and semantic consistency. Healthcare Ontology & Semantic Modeling - Develop ontologies using standards ...

More About Us NextGen Security is an electronic security systems integrator that offers commercial and industrial companies best in class industry knowledge, engineering design, implementation ...

More About Us NextGen Security is an electronic security systems integrator that offers commercial and industrial companies best in class industry knowledge, engineering design, implementation ...

More About Us NextGen Security is an electronic security systems integrator that offers commercial and industrial companies best in class industry knowledge, engineering design, implementation ...

Installer

Houston, TX · On-site

$43K - $49K/yr

... knowledge, engineering design, implementation, management and on-going maintenance services. Our company accomplishes this by hiring only the most experienced and best-qualified talent the security ...

Partner with Product, Engineering, and Training to ensure knowledge is created proactively - not reactively after customers start calling. AI-Forward Operations * Leverage AI tools and workflows to ...

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Knowledge Engineering information

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 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.

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 engineers make $500,000?

Senior-level knowledge engineers with extensive experience, advanced skills in data modeling, natural language processing, and machine learning can earn salaries approaching or exceeding $500,000, especially in high-demand industries or companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What engineers make $300,000 a year?

Senior-level engineers in fields such as software engineering, data engineering, and specialized roles like machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. These roles often require strong technical expertise, certifications, and sometimes leadership responsibilities.

How much does a knowledge engineer make?

A knowledge engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI, machine learning, or data management can earn higher salaries. Many positions also require proficiency with tools like ontologies, semantic web technologies, and knowledge bases.

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.
What are popular job titles related to Knowledge Engineering jobs in Texas? For Knowledge Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in Texas look for? The top searched job categories for Knowledge Engineering jobs in Texas are:
What cities in Texas are hiring for Knowledge Engineering jobs? Cities in Texas with the most Knowledge Engineering job openings:
Infographic showing various Knowledge Engineering job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Ontology Expert - Remote

Ontology Expert - Remote

NTT DATA Services

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

108th of 204 rated it services


Job description

Req ID: 367052
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), United States (US).
Ontology Expert - Healthcare AI Solutions
Day to Day job Duties: (what this person will do on a daily/weekly basis)
Role Summary
We are seeking an experienced Ontology Expert to design, develop, and govern healthcare ontologies that power AI-driven and agentic healthcare solutions. The role focuses on building semantic models that enable interoperability, reasoning, knowledge representation, and explainable AI across clinical and healthcare enterprise systems.
Key Responsibilities
- Design, build, and maintain healthcare ontologies and semantic models.
- Define domain vocabularies, taxonomies, and relationships for AI-driven solutions.
- Support knowledge representation for AI agents, decision-support, and clinical intelligence systems.
- Collaborate with clinicians, data scientists, and AI engineers to translate knowledge into formal models.
- Govern ontology lifecycle, versioning, and semantic consistency.
Healthcare Ontology & Semantic Modeling
- Develop ontologies using standards such as OWL, RDF, and SKOS.
- Work with healthcare standards and terminologies (SNOMED CT, ICD-10, LOINC, RxNorm).
- Enable semantic interoperability across EHRs and healthcare data sources.
- Support reasoning, inference, and rule-based logic for AI systems.
AI & Agentic Solution Support
- Enable AI and GenAI systems with structured healthcare knowledge.
- Support agentic workflows, decision models, and explainable AI outputs.
- Collaborate on RAG pipelines and knowledge graph integration for LLM-based systems.
- Ensure semantic accuracy and safety for clinical use cases.
Technical Skills & Tools
- Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies.
- Experience with ontology tools such as Protégé, TopBraid, or Stardog.
- Familiarity with FHIR, HL7, and healthcare data models.
- Exposure to AI/ML and GenAI systems, including LLM-enabled solutions.
- Programming or scripting experience in Python or similar languages (preferred).
Compliance, Governance & Quality
- Ensure ontologies align with clinical safety, regulatory, and compliance requirements.
- Support auditability, traceability, and explainability of AI decisions.
- Define semantic governance policies and best practices.
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
Required Skills & Experience
- 5+ years of experience in ontology engineering, semantic modeling, or knowledge engineering.
- Strong healthcare domain knowledge (clinical, payer, or life sciences).
- Experience working with structured and unstructured healthcare data.
- Ability to collaborate across technical and clinical teams.
Nice to Have;
Preferred Qualifications
- Background in clinical informatics or biomedical informatics.
- Experience with healthcare AI platforms or decision-support systems.
- Knowledge of semantic search, reasoning engines, or knowledge graphs.
- Advanced degree in Computer Science, Biomedical Informatics, or related fields.
Soft Skills
- Strong analytical and conceptual thinking abilities.
- Excellent communication skills to work with clinical and technical stakeholders.
- Attention to detail and passion for semantic accuracy.
Why Join Us
This role offers the opportunity to shape the semantic foundation of AI-driven healthcare solutions, supporting intelligent agents, explainable AI, and interoperable healthcare systems at scale.
Must reside in the US
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
Pay Transparency: Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $105,840 - $245,00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here
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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967