We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context.
- Ontology Design & Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar) that model key enterprise data domains and relationships, ensuring a consistent and shared data vocabulary across the organization. This includes collaborating with domain experts to capture real-world concepts and validate that the ontology accurately represents business knowledge.
- Knowledge Graph Development: Build and manage enterprise knowledge graphs based on the defined ontologies, linking diverse data sources into a unified graph data model. This involves configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability.
- Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints that support advanced search and analytics use cases, making it easier for others to retrieve insights from linked data.
- Validation Rules & Data Quality: Implement semantic validation rules and consistency checks (e.g., using SHACL or OWL constraints) to ensure data integrity and quality within the ontology and knowledge graph. You will define and enforce data modelling conventions and business rules so that enterprise data conforms to the ontology's standards and remains interoperable across systems.
- Integration with Enterprise Systems: Work closely with software engineers, data architects, and IT teams to integrate the ontology and knowledge graph into the organization's existing data infrastructure and workflows. This includes embedding semantic models in data pipelines, APIs, and databases, so that enterprise applications can produce and consume linked data seamlessly.
- Collaboration & Cross-Functional Support: Collaborate with cross-functional teams and stakeholders. For example, partner with AI/ML teams to incorporate the knowledge graph into AI-driven solutions, and team up with business analysts or data stewards to align the semantic models with business needs. You will communicate semantic concepts to non-technical stakeholders, providing training or documentation to ensure adoption of the semantic framework across the organisation.
- Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications. For instance, you might enable an AI chatbot to use the knowledge graph for more context-aware responses, or develop mechanisms for AI systems to perform reasoning over the ontologies. This responsibility ensures that semantic data structures enhance AI initiatives (e.g. improving context, disambiguation, and knowledge retrieval in AI workflows).
- Standards & Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic data management, promoting a culture of well-structured, semantically-rich data across the enterprise.
MUST
Ontology Design & Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar).
Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards - specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.
Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.
Data Modelling & Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology.
Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)
NICE TO HAVE- Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate data
- AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance.
- Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms.
- Tools & Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial.
Luxoft DXC
2000
Luxoft, a DXC Technology Company is a global digital strategy and software engineering firm with over 17,000 international employees within its 58 offices in 29 countries. It is headquartered in Zug, Switzerland.
In January 2019, Luxoft was acquired by U.S. company DXC Technology. Luxoft partnered with LG Electronics to create a next-generation Autonomous Mobility concept vehicle that integrates consumers' personalized digital lifestyles into a driving experience. Luxoft enabled Switzerland's first Blockchain based e-vote platform with the City of Zug and Hochschule Luzern's Blockchain Lab.
Luxoft, a DXC Technology Company is a world-renowned company. It has been present on the Polish market for over 13 years. We have offices in Krakow, Warsaw, Wroclaw, and Gdansk. We employ over 2,000 professional experts carrying out projects for over 100 clients from the financial, automotive, medical, tourist industries, etc. We work for many international clients, including the USA, Great Britain, and Switzerland.
So far, Luxoft Poland has made a name for itself as a company that offers work on innovative projects, we offer various experiences in the field of IT, opportunities for rapid development, an extensive training program, and attractive benefits for employees.
At present, 62% of Luxoft Poland employees come from Poland, and 38% from around 50 countries, including Ukraine, Brazil, India, Turkey, Spain, Portugal, Italy, Romania, USA, etc.
At Luxoft, a DXC Technology Company almost 80 percent of employees are experts with the "Senior" experience level, with at least five years of experience. We care about our employees, so every day we try to provide them with the best possible conditions for work and development.
Technology is our passion! We focus on top engineering talent means that you will be working with the best industry professionals from around the world. Because of that, Luxoft is a global family with an epic atmosphere – we love what we do!