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Senior, niche GCP+ML leadership reduces candidate pool, but Bangalore metro and known brand increase competition.
Requires deep GCP, enterprise data platform and ML expertise, making cross-industry transferability low.
Explicit 12+ years, deep GCP and ML leadership requirements make filters highly stringent.
Own and execute the global GCP data platform strategy including AI/ML infrastructure, data governance, and responsible AI frameworks for enterprise clients.
Build and scale the India-based platform engineering team to deliver AI solutions reliably and at scale, while ensuring customer requirements and enterprise readiness.
Establish monitoring, operational excellence, SLOs, incident response, and cost management practices across platform, data, ML, LLMs, and multi-agent systems.
12+ years in infrastructure/platform engineering with at least 5 years leading technical teams.
Deep expertise in GCP services including Compute, BigQuery, Vertex AI, GKE, and data services.
Experience designing enterprise data platforms handling 100GB+ datasets with complex ETL/streaming and knowledge in ML/LLM fundamentals.
Location requirement: India (Bangalore), hybrid flexible work setup, willingness to travel 5-10%.
Demonstrated strategic leadership with ability to balance architectural vision and execution excellence across data and AI platform components.
Proven experience engaging with C-suite and enterprise customers, steering multi-year platform evolution in fast-evolving AI environments.
Strong systems thinking and hands-on technical leadership mindset combined with FinOps discipline for scalable, efficient platform operations.