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Tier-1 brand and Bengaluru metro increase density, but seniority and niche AI-data skills limit applicant pool.
Requires deep enterprise data architecture and analytics experience, limiting cross-industry transferability.
Explicit 10+ years, 3+ years AI experience, and required Databricks/Microsoft Fabric create strict shortlisting.
Architect AI-ready data foundations including semantic and context layers enabling enterprise data usability by LLMs and agentic workflows.
Lead technical workstreams end-to-end, setting direction, aligning cross-functional teams, and owning deliverables.
Build hands-on production-grade AI solutions with LLMs and collaborate directly with frontier AI vendors and business stakeholders.
10+ years experience designing and delivering enterprise data warehousing and data architecture solutions.
3+ years hands-on experience with modern AI architecture, including production-grade LLM and applied AI solutions.
Bachelor’s or Graduate degree in Computer Science, Information Systems, or related field or equivalent work experience.
Experience with Databricks and Microsoft Fabric preferred; familiarity with Azure and AWS data ecosystems required.
Deep expertise driving data and analytics strategy in complex enterprises spanning multiple business domains (e.g. Supply Chain, Finance, Sales).
Proven ability to lead and influence senior leadership on data and AI strategy while managing hands-on architecture delivery.
Experience working at the frontier of AI technologies within enterprise scale environments and collaborating with external AI technology partners.