
10,000+ employees
Founded 1996
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
💰 $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
🔥 29 minutes ago
Where this job comes from
Posted on Virtusa's careers page, not through a job board
First seen by Remote Rocketship 29 minutes ago

10,000+ employees
Founded 1996
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
💰 $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
• Design, develop, and maintain formal domain ontologies, taxonomies, and semantic schemas using OWL, RDF, RDFS, and SHACL • Translate complex business rules, domain concepts, and entity relationships into structured semantic models • Collaborate with Knowledge Graph Engineers and Agentic AI Engineers to ground LLM workflows and GraphRAG pipelines in trusted enterprise context • Establish ontology governance, versioning standards, and validation rules across cross-functional data sources • Align enterprise semantic layers with Databricks analytical platforms and operational CRM ecosystems
• 5+ years of experience in Ontology Engineering, Semantic Web technologies, or Knowledge Graph-focused Data Science • Hands-on expertise with semantic standards and query languages (OWL, RDF, SPARQL, SHACL, SKOS) • Proven experience building enterprise ontologies or semantic layers for complex domains (e. g., Life Sciences, Healthcare, Finance, or Supply Chain) • Strong programming skills in Python • Familiarity with graph databases (e. g., RDF triplestores or property graphs) and knowledge graph workflows • Excellent communication skills to elicit domain knowledge from business stakeholders and translate it into formal specifications
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