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- Tasks: Design and implement semantic data frameworks for smarter data integration and AI-ready knowledge structures.
- Company: Join DXC Technology, a global leader in IT services and digital transformation.
- Benefits: Flexible work model, inclusive culture, and opportunities for career advancement.
- Why this job: Make an impact on enterprise data and intelligent systems with cutting-edge technology.
- Qualifications: Bachelor’s degree in Computer Science or related field; experience with OWL, RDF, and SPARQL.
- Other info: Collaborative environment prioritising wellbeing and productivity.
The predicted salary is between 36000 - 60000 £ per year.
DXC Technology is a Fortune 500 Global IT Services Leader and is ranked at 152. Our more than 130,000 people in 70-plus countries are entrusted by our customers to deliver what matters most. We use the power of technology to deliver mission critical IT services that transform global businesses.
We inspire and take care of our people. Work in a culture that encourages innovation and where brilliant people embrace change and seize opportunities to advance their careers and amplify customer success. Leverage technology skills and deep industry knowledge to help clients. Work on transformation programs that modernize operations and drive innovation across our customer’s entire IT estate using the latest technologies in cloud, applications, security, IT Outsourcing, business process outsourcing and modern workplace.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes 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.
We are seeking an AI Semantic Architect based in London to design and implement semantic data frameworks that enable smarter data integration and AI-ready knowledge structures across the enterprise.
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.
- 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.
- 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).
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.
AI Semantic Architect employer: DXC Technology Inc.
Contact Detail:
DXC Technology Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Semantic Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current DXC employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to semantic data frameworks and knowledge graphs. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your SPARQL queries and ontology design. Be ready to discuss how you’ve tackled challenges in past projects, as real-world examples can really impress the hiring team.
✨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 DXC Technology.
We think you need these skills to ace AI Semantic Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Semantic Architect role. Highlight your experience with OWL, RDF, and SPARQL, and don’t forget to mention any knowledge graph projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about semantic technologies and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: Don’t hold back on showcasing your programming skills in Python or Java. If you've integrated semantic technologies with AI workflows, let us know! We love seeing practical examples of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at DXC Technology Inc.
✨Know Your Ontologies
Make sure you brush up on your knowledge of OWL and RDF before the interview. Be ready to discuss how you've developed and maintained ontologies in past projects, as this will show your hands-on experience and understanding of semantic data frameworks.
✨Showcase Your Knowledge Graph Skills
Prepare to talk about your experience with graph databases like Neo4j or GraphDB. Have specific examples ready that demonstrate how you've created and managed knowledge graphs, as this is a key part of the role.
✨SPARQL Queries Are Key
Familiarise yourself with SPARQL querying techniques. Be prepared to explain how you've optimised queries for data retrieval and analytics in previous roles, as this will highlight your analytical skills and technical expertise.
✨Collaboration is Crucial
Since the role involves working closely with AI teams, think of examples where you've collaborated on projects. Discuss how you've enabled AI agents to leverage ontologies and knowledge graphs, showcasing your ability to work in a team-oriented environment.