Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design ontologies and build knowledge graphs to unify data sources.
- Company: Join DXC Technology, a leader in modernising IT and driving innovation.
- Benefits: Flexible work model, inclusive culture, and opportunities for impactful projects.
- Why this job: Shape the future of enterprise data and intelligent systems with cutting-edge technology.
- Qualifications: Bachelor’s degree in Computer Science and experience with OWL, RDF, and SPARQL.
- Other info: Collaborative environment with a focus on wellbeing and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Location - Erskine, Newcastle, Farnborough or London. Candidates are required to be eligible for clearance.
What You’ll Do
- Design Ontologies: Develop and maintain ontologies using OWL/RDF to model enterprise data domains and relationships.
- Build Knowledge Graphs: Create and manage enterprise knowledge graphs that unify diverse data sources.
- Semantic Querying: Develop and optimise SPARQL queries for advanced data retrieval and analytics.
- Ensure Data Quality: Implement semantic validation rules (e.g., SHACL, OWL constraints) for data integrity and interoperability.
- Integrate with Enterprise Systems: Embed semantic models into data pipelines, APIs, and enterprise workflows.
- Collaborate with AI Teams: Enable AI agents and LLMs to leverage ontologies and knowledge graphs for context-aware reasoning.
- Adopt Best Practices: Stay current with semantic web standards and contribute to internal guidelines for semantic data management.
What We’re Looking For
- Education: Bachelor’s degree in Computer Science, Information Science, or related field.
- Semantic Web Expertise: Hands-on experience with OWL, RDF, and SPARQL.
- Knowledge Graph Experience: Practical experience with graph databases (Neo4j, GraphDB, Apache Jena, etc.).
- Data Modelling & Integration: Strong understanding of data architecture and integration techniques.
- Programming Skills: Proficiency in Python, Java, or similar for semantic data processes.
- Analytical Skills: Ability to troubleshoot ontology logic and query performance.
Desired Experience
- Familiarity with metadata standards (Dublin Core, schema.org).
- Experience integrating semantic technologies with AI/LLM workflows.
- Proven track record of embedding semantic layers into enterprise systems.
- Hands-on with tools like Protégé, semantic reasoners, or cloud-based graph services (AWS Neptune, Azure Cosmos DB).
Why DXC Technology?
At DXC Technology, we help global enterprises run mission-critical systems and operations while modernising IT and driving innovation. Join us to work on impactful projects that shape the future of enterprise data and intelligent systems. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritises in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
AI Semantic Architect in London employer: DXC Technology
Contact Detail:
DXC Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Semantic Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with ontologies, knowledge graphs, and any relevant projects. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with OWL, RDF, and SPARQL, and think of examples where you've tackled data quality issues or integrated semantic technologies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at DXC Technology.
We think you need these skills to ace AI Semantic Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Semantic Architect role. Highlight your hands-on experience with OWL, RDF, and SPARQL, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about semantic technologies and how your background makes you a great fit for our team. Be sure to mention any experience with knowledge graphs and data integration.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or academic setting, make sure to include them. We love seeing practical applications of your skills, especially with tools like Neo4j or Protégé.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our community!
How to prepare for a job interview at DXC Technology
✨Know Your Ontologies
Before the interview, brush up on your knowledge of OWL and RDF. Be ready to discuss how you've developed and maintained ontologies in past projects. Having specific examples will show your hands-on experience and understanding of enterprise data domains.
✨Showcase Your Knowledge Graph Skills
Prepare to talk about your experience with knowledge graphs, especially with tools like Neo4j or GraphDB. Think of a project where you unified diverse data sources and be ready to explain the challenges you faced and how you overcame them.
✨SPARQL Queries Are Key
Since semantic querying is crucial for this role, practice explaining how you've developed and optimised SPARQL queries. Bring examples of how your queries improved data retrieval and analytics, as this will demonstrate your analytical skills.
✨Integrate and Collaborate
Highlight your experience integrating semantic models into data pipelines and APIs. Discuss any collaboration with AI teams, focusing on how you enabled AI agents to leverage ontologies and knowledge graphs. This shows your ability to work cross-functionally, which is vital for the role.