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Strong employer brand and metro location increase applicant density, but niche semantic/knowledge-graph skills limit competition.
Specialized semantic, ontology, and knowledge-graph expertise makes cross-industry transfers moderately challenging.
Explicit 7+ years plus mandatory ontology, knowledge-graph, and platform architecture skills create strict filtering criteria.
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Design and implement the enterprise Data Context Layer (DCL) platform enabling publishing, discovery, and consumption of standardized data context with self-service.
Define technical architecture patterns and solution-level approaches ensuring scalability, security, versioning, access control, and monitoring of the DCL platform.
Collaborate across product, architecture, engineering, and governance teams to deliver a production-ready platform supporting both human and AI/agentic workflows.
7+ years in technical architecture, solution architecture, data architecture, or senior engineering roles.
Hands-on experience with data platforms, APIs, distributed systems, platform engineering, and semantic technologies including ontologies, OWL, RDF, and knowledge graphs.
Working knowledge of agentic AI concepts, prompt engineering, and context engineering.
Location requirement: Hyderabad; No relocation or visa sponsorship; No travel required.
Experienced in designing scalable, secure, and production-grade enterprise data platforms with semantic interoperability.
Capable of translating architecture principles into reusable, practical implementation patterns for cross-team adoption.
Familiar with AI-enabled and agentic workflows integration, governance, and metadata management in regulated enterprise environments.