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Known employer and Bengaluru location increase applicants, but senior, niche AI leadership reduces density.
Role requires deep AI-engineering, governance and platform experience, limiting cross-industry transferability.
Multiple explicit requirements: 10+ years engineering, 5+ years leadership, AI platform and cloud expertise.
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Lead AI engineering transformation by defining and executing AI-native software development adoption across teams and SDLC stages.
Establish AI governance frameworks, standards, and best practices ensuring secure, compliant use of AI-generated code and artifacts.
Manage and develop engineering teams while driving delivery excellence, technical leadership, and continuous improvement using AI-enabled workflows.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
10+ years of software engineering experience delivering enterprise-scale software solutions.
5+ years of engineering leadership experience with direct people management, including leading distributed Agile teams.
Hands-on experience with AI-assisted software development platforms and strong knowledge of Generative AI, LLMs, RAG architectures, prompt engineering, and AI governance.
Experienced engineering leader with proven ability to drive AI adoption as a core engineering capability rather than a mere productivity tool.
Technical expertise in cloud-native distributed systems, CI/CD, automated testing, and modern software delivery practices combined with AI technology integration.
Skilled in organizational change management, coaching teams on AI-assisted engineering practices, and balancing innovation with compliance and quality governance.