About the Company

The organization is focused on enabling enterprises to unlock the full value of their data through advanced semantic technologies. By leveraging knowledge graphs, ontologies, and modern data frameworks, the company helps businesses create unified, structured, and intelligent data ecosystems that power analytics, automation, and AI-driven solutions.

With a strong emphasis on innovation and scalability, the company works across industries to implement cutting-edge semantic web technologies. Its solutions are designed to integrate seamlessly with existing enterprise systems while enabling next-generation applications powered by artificial intelligence and data intelligence.

Introduction

We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. This role focuses on building ontologies, developing knowledge graphs, and ensuring data quality through semantic validation.

The ideal candidate will collaborate with cross-functional teams, including AI and data engineering teams, to integrate semantic structures into intelligent applications. This is a highly technical role suited for professionals passionate about semantic web technologies and enterprise data architecture.

Key Responsibilities

Ontology Design and Maintenance

Design, develop, and maintain ontologies using OWL, RDF, or similar technologies.
Collaborate with domain experts to model real-world entities and relationships.
Ensure consistency and standardization of enterprise data vocabularies.

Knowledge Graph Development

Build and manage enterprise knowledge graphs linking multiple data sources.
Configure graph databases or triple stores and populate them with RDF data.
Optimize knowledge graph performance, scalability, and query efficiency.

Semantic Querying

Develop and optimize SPARQL queries for efficient data retrieval and analysis.
Enable advanced search, analytics, and integration use cases through semantic querying.

Data Quality and Validation

Implement validation rules using SHACL or OWL constraints to ensure data integrity.
Define data modeling conventions and enforce compliance with ontology standards.

Integration with Enterprise Systems

Integrate semantic models into data pipelines, APIs, and enterprise platforms.
Collaborate with engineering and IT teams to ensure seamless data interoperability.

Cross-Functional Collaboration

Work with AI/ML teams to integrate knowledge graphs into intelligent systems.
Partner with business stakeholders to align semantic models with business needs.
Communicate complex semantic concepts to non-technical audiences through documentation and training.

AI and LLM Integration

Enable AI agents and LLM-based systems to leverage knowledge graphs for improved context and reasoning.
Develop mechanisms for semantic data to enhance AI workflows and decision-making.

Standards and Best Practices

Stay updated with emerging semantic web standards and technologies.
Establish and promote best practices for semantic data management across the organization.

Required Qualifications

Strong experience in ontology design using OWL, RDF, or similar frameworks.
Proficiency in semantic web technologies including SPARQL for querying graph data.
Hands-on experience building and managing knowledge graphs or linked data systems.
Solid understanding of data modeling, data architecture, and integration of diverse data sources.
Proficiency in at least one programming language such as Python or Java.
Strong analytical and problem-solving skills.
Ability to work collaboratively across teams and communicate effectively.

Preferred Qualifications

Familiarity with metadata standards such as Dublin Core or schema.org.
Experience integrating semantic technologies into enterprise systems.
Exposure to AI/ML projects involving knowledge graphs or ontologies.
Hands-on experience with graph databases or ontology management tools.
Understanding of large-scale data platforms and enterprise architectures.

Why Join Us / Benefits

Opportunity to work on cutting-edge semantic and AI-driven technologies.
Exposure to large-scale enterprise data architecture and knowledge graph systems.
Collaborative environment with cross-functional teams and global stakeholders.
Career growth opportunities in emerging fields like semantic AI and data engineering.
Work on impactful projects that drive intelligent automation and data innovation.