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Tier-1 brand, metro location, and popular GenAI role increase candidate competition.
Requires specialized generative AI expertise and banking MRM/FL domain knowledge, limiting cross-industry transferability.
Explicit 8+ years plus mandatory generative AI production and regulatory MRM/FL requirements make filters strict.
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Design, develop, and deploy generative AI and machine learning models for Fraud Operations with a focus on RAG frameworks and operational automations including Conversational AI and Multi-Agent Systems.
Lead and mentor junior members while collaborating cross-functionally to translate business requirements into AI solutions and optimize models for performance and scalability.
Ensure compliance with Model Risk Management and Fair Lending guidelines, conduct research for advancement in generative AI, and present findings to stakeholders and management.
8+ years of experience in machine learning and deep learning with emphasis on generative AI solution design and deployment.
Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics, related quantitative field, Engineering, or MBA from a premier institute.
Knowledge of Model Risk Management (MRM) and Fair Lending (FL) guidelines relevant to LLM-based solutions.
Demonstrated expertise in building and deploying generative AI models in production, especially using Retrieval-Augmented Generation (RAG) frameworks.
Experience developing agentic AI / AI Agents and large-scale banking domain automations via API/MCPs.
Ability to lead complex projects with significant impact, mentor teams, and communicate technical concepts to non-technical stakeholders effectively.