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Specialized AI infrastructure managerial role at a metro Tier-2 company with strong brand and Bangalore location creates medium competition.
Highly specialized AI infrastructure skills limit cross-industry transferability.
Requires proven GenAI infrastructure leadership, cloud and accelerator expertise, and specific tech proficiency.
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Lead and grow engineering team managing large-scale distributed AI infrastructure and services.
Set technical direction and standards for AI post-training, inference, and data pipelines, focusing on performance optimization across GPU/xPU accelerators, networking, storage, and cloud.
Own reliability, scalability, observability, SLAs, incident response, and capacity planning for AI workloads; collaborate cross-functionally to define infrastructure requirements and roadmap.
Experience leading engineering teams building GenAI infrastructure, distributed systems, or high-performance platforms.
Strong background in cloud computing, large-scale distributed systems, and AI/ML infrastructure.
Proficiency in Python, Go, or similar languages with ability to guide design and code review.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in addressing scaling challenges for AI workloads including accelerator usage, scheduling, and performance tuning.
Comfortable making architectural tradeoffs balancing cost, performance, reliability, and velocity.
Operates effectively in fast-paced, ambiguous environments and collaborates extensively with research and engineering teams.