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Tier-1 brand and Bengaluru metro increase applicant density, but niche senior AI expertise reduces competition.
Deep ML/LLM, enterprise AI platform, and regulated-finance experience make background fit highly specific.
Explicit 10+ years, mandatory production AI, platform and cloud expertise create strict shortlisting filters.
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Lead and architect scalable AI and emerging technology solutions using platforms like Google Gemini Enterprise and AI frameworks such as LangChain and LangGraph.
Develop and execute AI capability roadmap aligned with business objectives, driving technology modernization and operational transformation.
Build and mentor a high-performing team of AI engineers and architects while collaborating with global stakeholders on AI-driven business transformation in a regulated environment.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field.
10+ years of total work experience, including hands-on Python expertise and AI solution development.
Experience with enterprise AI platforms (e.g., Google Gemini Enterprise, Azure AI, AWS AI) and cloud services (such as Compute Engine, Cloud Storage, Cloud Run, IAM).
Experience designing cloud-native scalable applications, integrating large language models, prompt engineering, retrieval-augmented generation, and agent-based workflows.
Proven track record of building and scaling production-grade AI capabilities and defining AI strategy within highly regulated or financial services environments.
Strong technical leadership and hands-on engagement in AI architecture, platform evaluation, and modernization initiatives.
Experience working cross-functionally with global architecture, security, data, and engineering teams to enable enterprise-wide AI adoption and governance.