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Bengaluru metro and attractive AI startup backing increase interest, though seniority reduces applicant pool.
Role demands specialised AI/ML platform and enterprise experience, limiting cross-industry transferability.
Explicit 12+ years plus 4+ years management and mandatory AI/ML, cloud, and distributed-systems skills enforce strict filters.
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Lead and mentor engineering teams to build scalable AI-driven enterprise platforms and products.
Drive technical design, architecture, and delivery of AI-based cloud systems ensuring high availability and performance.
Manage project planning and execution using Agile methodologies, owning quality and timelines of team outputs.
12+ years of software engineering experience with 4+ years in engineering management.
Proficiency in modern programming languages such as Python, Java, or Go.
Strong knowledge of system design, architecture, and cloud-native technologies (AWS, Azure, or GCP).
Experience with AI/ML platforms, distributed systems, and managing AI/ML pipelines and MLOps best practices.
Experienced leader capable of managing and growing high-performing AI engineering teams.
Hands-on technical expertise in designing and operating scalable enterprise AI cloud systems.
Skilled at collaborating across functions including research, product, and design to align technical efforts with business goals.