Tech Lead Knowledge Graph & AI

ob Summary We are looking for a Technical Lead with strong expertise in Knowledge Graphs, AI, and modern data technologies. The candidate will be responsible for designing, developing, and delivering scalable AI-driven solutions using Knowledge Graph technologies.  Key Responsibilities Lead the technical design and development of Knowledge Graph and AI solutions. Design data models, ontologies, entities, relationships, and graph-based solutions. Integrate Knowledge Graphs with AI, Generative AI, Machine Learning, and LLM-based applications. Develop data pipelines for ingesting, transforming, enriching, and integrating structured and unstructured data. Design and implement solutions using graph databases and query technologies. Collaborate with Data Engineers, AI Engineers, and business teams to translate requirements into technical solutions. Provide technical guidance, architecture support, code reviews, and design reviews. Ensure solutions meet scalability, performance, security, and quality standards. Troubleshoot technical issues and perform root-cause analysis. Support continuous improvement of AI and Knowledge Graph platforms. Required Skills Strong hands-on knowledge of Knowledge Graphs and Graph Data Modeling. Good understanding of AI, Machine Learning, Generative AI, and LLM concepts. 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. Knowledge of ontology development, semantic modeling, and knowledge representation. Experience integrating AI/LLM solutions with enterprise data and Knowledge Graphs. Strong understanding of software architecture, design patterns, scalability, and performance. Strong technical leadership, communication, and problem-solving skills. Preferred Skills Knowledge of RAG, LLM orchestration, and Agentic AI. Experience with cloud-based AI and data platforms. Knowledge of vector databases and hybrid search. Experience with CI/CD, DevOps, and containerization. Experience working in Agile environments