Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Microsoft Azure Data Services
Valuable to have skills : Graph Databases, Data Engineering
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:

AI Powered Tech Talent
Role Summary / Description
Senior Engineer role in Knowledge Engineering focused on designing, building, and leading significant workstreams for enterprise-scale Knowledge Graph, semantic layer, ontology, and AI knowledge solutions on Microsoft Azure. In this role, the successful candidate leads a substantial knowledge engineering scope within a large program, translates real-world business problems into scalable AI and KG solutions, guides technical direction, and contributes to thought leadership, reusable assets, and delivery standards. The role must bring relevant industry experience across domains such as BFSI, healthcare, retail, telecom,



manufacturing, energy, public sector, or life sciences, applying semantic AI, knowledge graphs, LLM grounding, data pipelines, and cloud-native engineering patterns to deliver measurable client value.

Key Responsibilities
Engineer Azure-based knowledge engineering solutions using services such as Azure Data Lake Storage, Azure Data Factory, Azure Synapse/Fabric, Azure AI Search, Azure OpenAI, Azure Machine Learning, AKS, Microsoft Purview, Entra ID, APIs, and Azure Monitor.
Build graph ingestion pipelines, semantic data products, vector integrations, LLM grounding layers, APIs, and governed access patterns on Azure while improving performance, reliability, scalability, and cost efficiency.
Lead the build of Knowledge Graph solutions that transform client data architecture within a large program scope.
Direct the design, development, and implementation of AI, semantic layer, ontology, taxonomy, sc

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