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Tier-1 employer and metro location increase competition, while seniority and specialization moderate applicant density.
High—requires deep ML/GenAI expertise and senior leadership experience, limiting cross-industry transferability.
Very high due to explicit 18+ years requirement and Director-level AI leadership mandates.
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Architect, develop, and deploy AI solutions for Treasury digital transformation using large language models and intelligent automation.
Own end-to-end delivery of large, cross-functional AI programs ensuring timelines, quality, cost, and risk management.
Lead multiple engineering teams, manage Agile processes, and interface with stakeholders and executives for transparent delivery status and risk communication.
18+ years in technology delivery and leadership with significant experience at Director level or equivalent.
Strong knowledge of AI/ML including model optimization, evaluation frameworks, GenAI applications, and AI governance.
Proven experience delivering large-scale, multi-team Agile engineering initiatives in cloud and distributed systems environments.
Location requirement: Pune, India.
Experienced leader comfortable managing large cross-functional teams and multiple projects simultaneously within complex Agile enterprises.
Deep technical expertise in AI/ML systems lifecycle, GenAI platforms, and AI-assisted engineering tools to pragmatically adopt AI without increasing operational risk.
Skilled communicator with strong executive-level stakeholder management, able to align teams and drive delivery excellence across portfolios.