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Tier-1 brand and metro location increase competition, but seniority and niche AI specialization moderate applicant density.
Highly domain-specific AI leadership for regulated financial services reduces transferability across industries.
Explicit 10+ years, mandatory hands-on AI platform, governance and leadership requirements create high filtering specificity.
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Lead Emerging Technology and Transformation team in India, defining technical direction with focus on AI-first architectures and operational transformation.
Design, develop, deploy, and scale production-grade AI applications using Python and platforms like Google Gemini Enterprise, including integration with LLMs, orchestration, and multi-agent workflows.
Collaborate with global stakeholders to deliver AI-driven business transformation aligned with regulatory, security, and enterprise standards, while managing AI governance and risk.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field.
10+ years of overall work experience.
Strong hands-on expertise in Python for production-grade AI applications and experience with enterprise AI platforms (e.g., Google Gemini Enterprise, Azure AI, AWS AI).
Experience with cloud services (Compute Engine, Cloud Storage, Cloud Run, IAM), Docker, scalable cloud-native application architectures, and enterprise-grade engineering practices.
Experienced technology leader with proven ability to lead and mentor high-performing AI engineering teams in large organizations.
Strong strategic orientation in defining AI and emerging technology roadmaps, including platform evaluation and adoption in alignment with enterprise architecture.
Familiarity with financial services or highly regulated environments preferred, with capability to ensure AI solutions meet compliance, security, and risk management requirements.