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Tier-1 bank hiring senior, visible AI lead in Pune with broad LLM/GCP requirements increases candidate competition.
High—requires deep LLM, VertexAI, agentic-AI and cloud expertise, limiting cross-industry transferability.
High—mandatory 13+ years and deep LLM, VertexAI, GCP, and agentic-AI expertise required.
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Lead design, architecture, and deployment of scalable AI applications and services, focusing on AI models including the Gemini large language model, for advanced NLP and generative AI solutions.
Architect and orchestrate Agentic AI workflows using ADK and LangGraph, driving integration with cloud infrastructure (GCP) and API ecosystems for enterprise-wide AI solutions.
Oversee operational excellence including code quality, AIOps governance, testing, deployment monitoring, and cross-functional collaboration to deliver impactful AI products in Treasury and financial services domains.
13+ years of experience in AI engineering with track record of leading complex AI technical initiatives.
Expert proficiency in Python, web frameworks (FastAPI/Flask), and Google VertexAI platform, including large language model fine-tuning and deployment.
Strong experience with Google Cloud Platform services (CloudRun/GKE, BigQuery, CloudSQL) and API architecture/integration at enterprise scale.
Bachelor’s, Master’s or PhD in Computer Science, AI/ML, Statistics, Mathematics, or Engineering.
Senior technical leader comfortable operating across AI model development, cloud infrastructure, and API integration to deliver end-to-end AI solutions at scale.
Deep domain bias towards AI architecture and deployment in financial services, especially Treasury, with experience driving digital transformation through conversational and Agentic AI.
Strategic collaborator capable of leading cross-functional teams, aligning AI initiatives with business strategy, and maintaining operational governance and quality.