Sr Data Scientist- Generative AI

Description

Join a team where innovation meets impact. As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) systems, AI agents, and intelligent automation capabilities. You will work across business, technology, risk, and compliance teams to deliver responsible, scalable, and production-ready GenAI solutions that improve customer experiences, enhance operational efficiency, and create measurable business value. This role is ideal for an experienced data scientist with strong software engineering and machine learning skills, deep expertise in NLP and Generative AI, and experience developing AI solutions within highly regulated environments. Key Responsibilities * Design, develop, and deploy production-grade Generative AI solutions using LLMs, RAG frameworks, AI agents, and workflow orchestration platforms. * Build intelligent document processing capabilities for information extraction, summarization, classification, question answering, and conversational AI applications. * Develop agentic workflows capable of autonomous reasoning, task execution, tool utilization, and multi-step decision support. * Design and implement retrieval pipelines, vector search architectures, embedding strategies, and knowledge-grounded AI systems. * Evaluate and improve LLM performance through prompt engineering, model benchmarking, hallucination reduction, and faithfulness testing. * Build scalable AI solutions using modern frameworks and infrastructure including vLLM, LangChain, LangGraph, MLflow, Databricks, Snowflake, and cloud-native platforms. * Perform exploratory data analysis, feature engineering, and statistical analysis to support machine learning and GenAI model development. * Develop model monitoring, evaluation, and observability frameworks to measure quality, reliability, fairness, a