Mphasis
Ontologist / Knowledge Modeler
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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.
About the Role
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.
What You'll Be Working On
Knowledge Modeling & Ontology Engineering
- 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
- SPARQL
- Align enterprise data models with industry standards such as:
- BIAN (Banking Industry Architecture Network)
- MISMO (Mortgage Industry Standards Maintenance Organization)
- Create reusable metadata schemas, vocabularies, and semantic frameworks to improve data consistency and discoverability
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Knowledge Graph & Semantic Platform Development
- Design and implement enterprise Knowledge Graph solutions using technologies such as:
- Neo4j
- ArangoDB
- Blazegraph
- GraphDB
- JanusGraph
- 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
AI & Advanced Analytics Enablement
- 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
What We're Looking For
Required Experience
- 5+ years of experience in:
- Ontology Engineering
- Knowledge Modeling
- Semantic Technologies
- Knowledge Graph Development
- Proven experience working with industry frameworks such as:
- BIAN
- MISMO
- Experience building enterprise semantic models and data interoperability solutions
Technical Expertise
- Strong hands-on experience with:
- RDF
- OWL
- SPARQL
- SKOS
- Knowledge Graph Platforms:
- Neo4j
- ArangoDB
- Blazegraph
- GraphDB
- JanusGraph
- Ontology Development Tools:
- Protégé
- TopBraid Composer
- Apache Jena
- RDF4J
- Knowledge Graph Visualization Tools:
- Graphistry
- Gephi
- Programming experience in:
- Python
- Java
- Experience integrating graph-based solutions with enterprise applications and data platforms
Domain Expertise (Preferred)
- Banking & Financial Services
- Mortgage Industry Standards
- Enterprise Data Governance
- Regulatory Compliance Frameworks
- Healthcare Data Standards (Nice to Have)
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What Makes You Successful
- Strong analytical and conceptual thinking skills
- Ability to translate complex business concepts into semantic models
- Excellent communication and stakeholder management skills
- 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
Education & Certifications
- 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.
Why Join Us?
- Work on cutting-edge Knowledge Graph and Semantic AI initiatives
- Shape enterprise-wide data and AI strategies
- 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.
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