Back
Tier-1 brand and metro posting moderate competition, but senior specialized GenAI reduces density.
Requires deep GenAI and banking domain expertise, making cross-industry moves challenging.
Explicit 10-15 years, mandatory GenAI leadership and managerial qualifications drive high strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage the Business Analytics & Gen AI team to develop and implement advanced analytical and Agentic AI solutions supporting business execution and banking operations.
Oversee architecture, design, and deployment of scalable, reliable, and secure Generative AI applications including prompt engineering, RAG, Langgraph, and Langchain frameworks.
Drive the technical roadmap for AI platforms, shape business process redesign with AI agents, and ensure compliance with data governance and regulatory requirements.
10-15 years in Analytics with at least 3 years leading development of production-ready Gen AI or Agent-based solutions.
Bachelor’s degree in STEM/AI/Engineering or related quantitative field; Master’s preferred.
Proficiency in Python, PySpark, SQL, Hive; strong data science and machine learning skills including Generative AI, prompt engineering, RAG, and related AI frameworks.
Work Experience Required: 10-15 years including 3+ years in Gen AI and agentic AI solution leadership.
Experienced leader in advanced analytics and Generative AI delivering business impact in banking or financial sector, particularly in areas like fraud detection, risk management, or operations.
Strong strategic and technical expertise to architect complex AI/Agentic solutions aligning with business goals and regulatory mandates.
Proven ability managing cross-functional teams and interfacing with senior stakeholders for end-to-end AI solution conceptualization and deployment.