Virtusa - Technical Lead - Knowledge Graph & AI in Chennai, भारत

Role Overview :We are looking for an experienced Technical Lead Knowledge Graph & AI with strong hands-on expertise in Knowledge Graphs, graph data modelling, semantic technologies, AI/ML, and Generative AI. The role will be responsible for designing and delivering scalable AI-driven solutions that leverage Knowledge Graphs, enterprise data, and modern AI https://jobeax.com/link/86DscMukVX8p2VNe Responsibilities :- Lead the technical design, architecture, development, and delivery of Knowledge Graph and AI solutions.- Design graph data models, ontologies, entities, relationships, taxonomies, and semantic models for enterprise use cases.- Develop knowledge representation solutions that integrate structured and unstructured enterprise data.- Design and implement Knowledge Graphs using graph databases and semantic technologies.- Integrate Knowledge Graphs with AI/ML, Generative AI, LLMs, RAG, and intelligent applications.- Build data pipelines for ingestion, transformation, enrichment, entity resolution, and integration of structured and unstructured data.- Design APIs, data services, and integration patterns to make graph and AI capabilities available to enterprise applications.- Develop and optimize graph queries and semantic retrieval solutions.- Work with graph technologies such as Neo4j, RDF, SPARQL, or equivalent platforms.- Collaborate with Data Engineers, AI Engineers, Architects, Product teams, and business stakeholders to translate requirements into scalable technical solutions.- Lead technical design discussions, architecture reviews, code reviews, and solution design workshops.- Define reusable engineering patterns and standards for graph modelling, semantic data, AI integration, security, scalability, and performance.- Troubleshoot complex data, graph, application, and AI integration issues and drive root-cause resolution.- Evaluate technology options and make recommendations for graph platforms, semantic technologies, AI frameworks, and enterprise data architectures.- Ensure solutions meet requirements for performance, scalability, reliability, security, data quality, and maintainability.- Mentor engineers and provide technical guidance on Knowledge Graph, AI, and modern data technologies.- Drive continuous improvement across Knowledge Graph and AI platforms and engineering https://jobeax.com/link/wJIgo45kO3tINlTo Skills & Experience :- 9 - 14 years of experience in software engineering, data engineering, AI/ML engineering, solution architecture, or related technology roles.- Strong hands-on experience with Knowledge Graphs and graph data modelling.- Strong understanding of entities, relationships, ontologies, semantic modelling, taxonomies, and knowledge representation.- Hands-on experience with Neo4j, RDF, SPARQL, or equivalent graph technologies.- Strong programming skills in Python or equivalent.- Experience with data integration, ETL/ELT, APIs, and data pipelines.- Good understanding of AI, Machine Learning, Generative AI, and LLM architectures.- Experience integrating Knowledge Graphs with AI/LLM-based applications and enterprise data.- Strong understanding of graph querying, data modelling, semantic retrieval, and graph-based solution design.- Experience with software architecture, design patterns, distributed systems, scalability, and performance optimization.- Strong technical leadership experience, including architecture/design reviews, code reviews, mentoring, and technical decision-making.- Strong analytical, troubleshooting, communication, and stakeholder-management skills.- Ability to work independently on complex technical problems and drive solutions from architecture through production. (ref:hirist.tech)