Principal Software Engineer – Knowledge Graph & Semantic Layer job opportunity at QAD, Inc..



Date2026-03-30T09:15:57.201Z bot
QAD, Inc. Principal Software Engineer – Knowledge Graph & Semantic Layer
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Pune, India
loacation Pune....India
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Job DescriptionIgnite Your FutureAre you a visionary Principal Software Engineer ready to define and drive the technical strategy for an entire function, own complex, high-impact systems, and directly contribute to the future of intelligent manufacturing? Join QAD, where we are redefining the supply chain through our intelligent, adaptive platform—a single System of Action that connects people, processes, and data. As a Sr. Principal Software Engineer, you will be a key technical leader responsible for the architecture, governance, and delivery of our enterprise-scale SaaS products, operating with Champion Pace. You will be a recognized internal subject matter expert, focusing on providing thought leadership across the organization.The Mission: What You'll Be BuildingYou will be the core driver in the conceptualization, design, development, and implementation of new, highly complex models and procedures. You will provide strategic technical direction, mentor senior and principal team members, and leverage broad expertise in highly specialized fields to develop solutions in cloud-native architectures, microservices, and Agile product development. You will be instrumental in building the next generation of our platformTechnical authority for encoding manufacturing knowledge into ERA — the graph and ontology layer that makes ERA's AI defensible.Your Impact/ What you will be doing: Design the ERA Knowledge Graph schema: entity types, relationship definitions, and property graph architectureDefine manufacturing domain ontologies — formal representations of ERP concepts agents can reason overOwn query performance for knowledge retrieval — agent response latency depends on your designLead entity resolution, entity lineage tracking, and context assembly strategySet the technical standard for semantic modeling across the Intelligence sub-team

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