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Recognizable fintech brand and metro location, but senior, niche AI leadership reduces applicant density.
Role demands deep AI-production and leadership experience, limiting cross-industry transferability.
Explicit 10+ years and 5+ years leadership plus mandatory AI production expertise increases filter strictness.
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Lead and scale multiple AI-native engineering teams (AI Pods), including managers and senior engineers, to deliver AI-first product development across the organization.
Define and drive the AI-native engineering strategy, architecture standards, and development methodologies ensuring alignment with business goals from problem definition to production.
Establish AI system evaluation, monitoring, and observability frameworks; act as senior technical authority guiding architecture decisions while partnering with cross-functional stakeholders to shape high-impact AI solutions.
10+ years of software engineering experience with production system development and operation.
5+ years experience leading engineering teams and managers, including organization scaling and cross-team initiatives.
Proven experience in defining engineering strategy and leading complex, large-scale AI-based product initiatives.
Location: India; Work Type: Hybrid / Full-time.
Experienced in building and scaling AI-based systems in production with strong architectural and backend/full-stack development skills.
Strong technical leadership with ability to guide engineering practices, mentor teams, and set high standards for scalability, reliability, and code quality.
Comfortable driving AI-native delivery models in cross-functional environments, balancing strategic leadership with hands-on execution.