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Strong global brand and Hyderabad metro presence but highly specialized semantic/knowledge-graph skillset reduces applicant density.
Strong emphasis on ontologies, knowledge graphs, and platform architecture limits cross-industry transferability.
Mandatory 7+ years plus specialized semantic/knowledge-graph and architecture requirements make shortlisting highly strict.
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Design and implement technical architecture for an enterprise data context self-service platform enabling publishing, discovery, and consumption of standardized data context.
Develop technical standards, integration designs, and reference implementations ensuring scalability, security, and production-readiness of the platform.
Collaborate with cross-functional teams to support agentic AI workflows and provide consistent, governed data context enabling intelligent agent operations.
Minimum 7 years experience in technical, solution, or data architecture with hands-on platform engineering expertise.
Proficiency in ontologies, OWL, RDF, knowledge graphs, semantic layers, and agentic AI concepts including prompt and context engineering.
Experience designing scalable, secure, production-grade distributed data platforms with APIs.
Work Experience Required: 7+ years in relevant architecture or senior engineering roles.
Strong expertise in semantic technologies and data context integration supporting AI-enabled workflows at enterprise scale.
Practitioner capable of translating architectural principles into reusable technical patterns and reference implementations.
Comfortable operating in regulated, security-sensitive enterprise environments with governance and operational controls.