Ontologist​/Modeler

We're Hiring:
Ontologist / Knowledge Modeler

Are you passionate about transforming complex enterprise data into intelligent, connected knowledge ecosystems?

We're looking for an experienced Ontologist / Knowledge Modeler to join our growing Data & AI team and help build the semantic foundation powering next-generation AI, Knowledge Graphs, Data Discovery, and Intelligent Search solutions.

This is an exciting opportunity to work at the intersection of Knowledge Engineering, Semantic Technologies, Linked Data, Knowledge Graphs, and Artificial Intelligence, driving enterprise-wide data interoperability and innovation.

As an Ontologist / Knowledge Modeler, you will lead the design and implementation of enterprise knowledge models, ontologies, taxonomies, and semantic architectures that enable organizations to unlock the full value of their data.

You will work closely with Data Architects, AI/ML Engineers, Product Teams, and Business Stakeholders to create scalable knowledge frameworks that support advanced analytics, AI-driven insights, semantic search, and intelligent decision-making.

• Design, develop, and maintain enterprise ontologies, taxonomies, and semantic data models
• Build scalable Knowledge Graphs that connect and contextualize data across multiple systems and domains
• Develop linked-data architectures using semantic web technologies including RDF, OWL, SKOS, and SPARQL
• Align enterprise data models with industry standards such as BIAN and MISMO
• Create reusable metadata schemas, vocabularies, and semantic frameworks to improve data consistency and discoverability

• Design and implement enterprise Knowledge Graph solutions using technologies such as Neo4j, ArangoDB, GraphDB, and Janus Graph
• Develop semantic search and contextual retrieval capabilities
• Enable intelligent data discovery, entity resolution, and AI-powered recommendations
• Leverage graph analytics and SPARQL endpoints to generate actionable business insights

• Partner with AI and Data Science teams to integrate Knowledge Graphs into AI and Machine Learning workflows
• Support NLP, contextual search, retrieval systems, and intelligent knowledge management initiatives
• Drive innovation by applying semantic technologies to enhance enterprise AI capabilities

5+ years of experience in:

• Ontology Engineering
• Knowledge Modeling
• Semantic Technologies
• Knowledge Graph Development

Proven experience working with industry frameworks such as BIAN and MISMO

Experience building enterprise semantic models and data interoperability solutions

Strong hands-on experience with:

• RDF
• OWL
• SPARQL
• SKOS

Knowledge Graph Platforms:

• Neo4j
• ArangoDB
• GraphDB
• Janus Graph
• Top Braid Composer
• RDF4J
• Graphistry
• Gephi

Programming experience in:

• Python
• Java

Experience integrating graph-based solutions with enterprise applications and data platforms

Mortgage Industry Standards

Regulatory Compliance Frameworks

Healthcare Data Standards (Nice to Have)

• Strong analytical and conceptual thinking skills
• Ability to translate complex business concepts into semantic models
• Passion for emerging technologies, AI, and Knowledge Engineering
• Ability to work independently while collaborating effectively across cross-functional teams
• Detail-oriented with a strong focus on quality and scalability

Bachelor's or Master's Degree in:

• Information Science
• Data Science
• Knowledge Management
• Computer Science
• Related Discipline

Certifications in Ontology Engineering, Knowledge Management, Semantic Technologies, or Data Standards are highly valued.

• Work on cutting-edge Knowledge Graph and Semantic AI initiatives
• Collaborate with industry-leading Data, AI, and Architecture teams
• Build the semantic foundation powering next-generation AI applications
• Opportunity to work with emerging technologies in Knowledge Engineering, Graph AI, and Intelligent Data Platforms

If you're passionate about Knowledge Graphs, Ontologies, Semantic AI, Linked Data, and Enterprise Knowledge Management, we'd love to connect with you.