Source description
About the role
Job Description
Skill Set
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AI Security
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Total Experience :
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10.00 to 15.00 Years
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No of Openings :
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1
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Job Post Date :
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18/06/2026
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Job Expiry Date :
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31/08/2026
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Domain :
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IT
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Location :
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HYDERABAD [India]
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Job Reference No :
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4086999
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Job Summary
We are seeking a Knowledge Graph Lead Engineer to evaluate, optimize, and scale our enterprise semantic data infrastructure. In this role, you will bridge the gap between complex biomedical data and actionable AI applications. You will conduct comprehensive health checks on our current stack, refine bio ontologies, and build the strategic roadmap for our next generation GraphRAG and GenAI platforms.
Platform Assessment : Conduct comprehensive technical health checks on existing graph databases and cluster infrastructure.
Ontology & Schema Review : Evaluate RDF/OWL and Labeled Property Graph (LPG) schemas for enterprise scalability.
Standards Alignment : Map internal data frameworks to biomedical standards like MeSH, SNOMED, and UMLS.
Performance Optimization : Eliminate data bottlenecks across real time ingestion pipelines and complex query execution.
Strategic Roadmap : Author comprehensive "Way Forward" reports detailing cloud migration and build vs buy decisions.
AI & LLM Integration : Design infrastructure to connect knowledge graphs with Large Language Models using GraphRAG frameworks.
Stakeholder Alignment : Translate technical graph concepts into clear business value for Research and Clinical teams.
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