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Tier-1 Citi brand, metro Gurgaon location, and attractive mid-level GenAI role increase candidate competition.
Core GenAI skills transfer across industries, though Wealth Management domain experience increases fit sensitivity.
Explicit 1–3 years plus mandatory GenAI stack, production deployment, and governance requirements drive high strictness.
Design, train, and deploy Generative AI and LLM-based models to power an intelligent client engagement platform for Citi's Wealth business.
Own the full model lifecycle including data extraction, training, validation, production deployment, and ongoing governance with measurable business impact.
Develop and apply product analytics to measure platform adoption, user experience, and translate insights into improvements integrated within live workflows.
1–3 years experience in AI, machine learning, or data science with direct exposure to deep learning or generative AI.
Proficiency in Python and SQL for data processing and analytical solution development.
Hands-on experience with Large Language Models (OpenAI, Claude, Gemini) and frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or LlamaIndex.
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or related quantitative discipline.
Experienced in applying Generative AI and LLM technologies in production-grade financial services environments, especially with end-to-end model lifecycle ownership.
Comfortable working cross-functionally with product managers, engineers, and business stakeholders to move AI solutions from prototype to integrated platform features.
Skilled in product analytics to quantify platform value and identify friction points, informing continuous enhancements in client engagement tools.