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Metro location, broad cloud-AI skillset, and senior leadership make competition moderate to high.
Requires deep GCP, enterprise data platform and ML infrastructure experience, limiting transferable candidates.
Explicit 12+ years plus deep GCP, ML infra, and leadership requirements create very strict shortlisting.
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Own and execute the GCP data platform strategy and AI/ML infrastructure including data governance, responsible AI, and platform operations for enterprise clients globally.
Build and scale a high-performing India-based platform engineering team to deliver AI solutions reliably and at scale in collaboration with global leadership.
Establish operational excellence through platform standards, monitoring systems, SLOs, incident response, and FinOps practices across AI workloads and agentic systems.
12+ years in infrastructure/platform engineering with 5+ years leading technical teams.
Deep expertise in GCP services including Compute, BigQuery, Vertex AI, GKE, and data services.
Proven experience in enterprise-scale data platform design handling 100GB+ datasets and complex ETL/streaming.
Work Location: India (Bangalore); Work Setup: Hybrid flexible; Travel: 5-10%.
Strategic leader with architectural vision to evolve large-scale AI platforms over multiple years and operationalize complex AI/ML systems.
Experienced in collaborating cross-functionally with delivery, product, and engineering teams and communicating effectively at C-suite and enterprise customer levels.
Hands-on leadership style balancing technical depth in infrastructure and ML with execution excellence and cost-conscious FinOps mindset.