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Strong Tier-1 brand and metro location increase competition, but niche semantic specialization reduces candidate density.
Specialized ontology, knowledge-graph, and data-architecture expertise limits transferability across industries.
Explicit 7+ years plus deep semantic, platform architecture, and productionization requirements make filters stringent.
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Lead design and implementation of a scalable, secure enterprise Data Context Layer platform enabling publishing, discovery, and consumption of standardized data context via self-service.
Define and implement architecture patterns covering context publishing, discovery, access control, versioning, validation, lineage, monitoring, and support both human and agentic AI workflows.
Collaborate cross-functionally to develop technical standards, reference implementations, APIs, and integration patterns ensuring platform readiness for production and AI-enabled scenarios.
7+ years in technical, solution, or data architecture roles with hands-on platform and distributed systems experience.
Strong familiarity with ontologies, OWL, RDF, knowledge graphs, semantic layers, and agentic AI concepts including prompt and context engineering.
Demonstrated ability to deliver scalable, secure, production-grade platform capabilities with architecture translation to practical designs.
Based in Hyderabad; No relocation or visa sponsorship; No travel required.
Experienced architect comfortable translating complex semantic and AI-related concepts into implementable platform solutions.
Skilled at collaborating with engineering and product teams to drive reusable, maintainable technical standards and governance.
Familiar with metadata management, data governance, and deploying AI-enabled platforms in regulated or security-sensitive enterprise environments.