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Semantic Modeling Jobs (NOW HIRING)

Senior AI Context Engineer

Atlanta, GA · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data engineering, semantic modeling, and AI-oriented data platform design. The ideal candidate combines ...

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data engineering, semantic modeling, and AI-oriented data platform design. The ideal candidate combines ...

Senior AI Context Engineer

Atlanta, GA · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data engineering, semantic modeling, and AI-oriented data platform design. The ideal candidate combines ...

Pay Range: $55/hr - $60/hr Requirement/Must Have: * 1+ years of experience in defining and designing enterprise ontology, taxonomy, and semantic models. * 1+ years of experience in architecting and ...

New

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data engineering, semantic modeling, and AI-oriented data platform design. The ideal candidate combines ...

Analytics Engineering (Semantic Modeling & Data Shaping) * Design, build, and maintain Power BI/Fabric semantic models (star schemas, relationships, calculation groups as applicable) that enable ...

Atlanta, GA Key Responsibilities Semantic Modeling & Data Architecture * Design, develop, and optimize Power BI semantic models using best-practice dimensional modeling techniques (star schema ...

Power BI Developer

Austin, TX · On-site

$111K - $209K/yr

Power BI & Semantic Model Development * Design, build, and maintain interactive, high-performing Power BI dashboards. * Implement semantic models in Microsoft Fabric to enable reusable datasets ...

Data Engineer, AI

American Fork, UT · On-site +1

$102K - $122K/yr

Develop and maintain semantic models that expose consistent, trusted business definitions across reporting and analytics surfaces. * Own data quality - implement validation, monitoring, and alerting ...

Design, develop, and optimize Power BI semantic models using best-practice dimensional modeling techniques (star schema, snowflake, dataflows, shared datasets). * Build enterprise-grade datasets with ...

This position emphasizes dashboard development, DAX, Power BI semantic modeling, paginated reporting, and disciplined change management. Key Responsibilities Power BI Reporting & Visualization

What you'll do Semantic Modeling & DAX Development * Design, develop, and maintain enterprise-grade Power BI semantic models using Import, DirectQuery, Composite, and Direct Lake architectures ...

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Showing results 1-20

Semantic Modeling information

See salary details

$55.5K

$118.7K

$173.5K

How much do semantic modeling jobs pay per year?

As of Jun 13, 2026, the average yearly pay for semantic modeling in the United States is $118,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $133,500.00 per year, depending on experience, location, and employer.

What is the difference between Semantic Modeling vs Data Modeling?

AspectSemantic ModelingData Modeling
PurposeFocuses on capturing meaning and relationships within data to improve understanding and interoperabilityDefines how data is structured, stored, and accessed in databases
CredentialsOften requires knowledge of ontologies, knowledge representation, and sometimes domain-specific expertiseTypically requires understanding of database design, normalization, and data architecture
Work EnvironmentUsed in knowledge graphs, AI, and semantic web projectsUsed in relational, NoSQL, and data warehouse environments
Industry UsageCommon in AI, semantic web, and information integration projectsCommon in software development, database administration, and data engineering

Semantic Modeling and Data Modeling are related but serve different purposes. Semantic Modeling emphasizes understanding and representing the meaning of data, often used in AI and knowledge systems. Data Modeling focuses on structuring data efficiently within databases. Both are essential for effective data management but are applied in different contexts.

What are the key skills and qualifications needed to thrive as a Semantic Modeler, and why are they important?

To thrive as a Semantic Modeler, you need a strong background in data modeling, ontology design, and domain-specific knowledge, often supported by a degree in computer science or information science. Familiarity with semantic web technologies such as RDF, OWL, SPARQL, and tools like Protégé is typically required, along with experience in database management systems. Analytical thinking, attention to detail, and effective communication are essential soft skills for collaborating with stakeholders and translating complex requirements into structured models. These skills ensure the creation of accurate, reusable, and scalable semantic models that support data interoperability and meaningful information retrieval.

What is semantic modeling?

Semantic modeling is the process of creating structured representations of data that capture the meaning, relationships, and context of information within a specific domain. It involves defining entities, attributes, and the connections between them, often using ontologies or conceptual models. Semantic modeling is widely used in areas like knowledge graphs, data integration, and artificial intelligence to ensure that systems can interpret and use data accurately. By providing a common understanding of data, semantic models enable better interoperability, data quality, and decision-making across different applications.

What is the salary of a data modeler?

The salary of a data modeler typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data modelers with expertise in semantic modeling, data warehousing, and tools like ERwin or PowerDesigner tend to earn higher salaries. Certifications and advanced education can also influence compensation levels.

What's the highest paying modeling job?

In the field of semantic modeling, senior roles such as Lead Data Scientist or Machine Learning Engineer typically offer the highest salaries, often exceeding six figures annually. These positions require advanced skills in data analysis, programming, and experience with AI tools, and they are usually found in large tech companies or specialized research organizations.

What does a semantic model do?

A semantic model in the context of semantic modeling jobs is used to represent and organize knowledge by capturing the meaning and relationships of data. It helps systems understand context, improve data integration, and support tasks like natural language processing and data analysis. Professionals in this field often work with ontologies, schemas, and tools like RDF or OWL to develop these models.

What is the difference between semantic model and LLM?

A semantic model in the context of semantic modeling involves structured representations of meaning, such as ontologies or knowledge graphs, to interpret and organize data. Large Language Models (LLMs) are advanced AI systems trained on vast text data to generate human-like language and understand context. While semantic models focus on structured understanding, LLMs excel at language generation and contextual comprehension, often complementing each other in AI applications.

What are some common challenges faced by professionals working in Semantic Modeling, and how can they be addressed?

Professionals in Semantic Modeling often encounter challenges such as aligning diverse data sources, ensuring consistency in ontologies, and effectively communicating complex models to non-technical stakeholders. Addressing these challenges typically involves collaborating closely with domain experts, using standardized vocabularies, and leveraging tools that support visualization and validation of semantic structures. Regular team reviews and iterative refinement of models can also help ensure accuracy and usability, making collaboration and adaptability key aspects of success in this field.
Infographic showing various Semantic Modeling job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Contract. Highlights an 59% In-person, 8% Hybrid, and 33% Remote job distribution, with an average salary of $118,674 per year, or $57.1 per hour.
Ontology Expert - Remote

Ontology Expert - Remote

NTT DATA Services

Dallas, TX • Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 hours ago


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 Protege, 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, lifeand 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

Sourced by ZipRecruiter

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