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Tier-1 bank brand and Pune metro increase competition, but senior specialized GenAI focus limits applicant density.
Role demands deep GenAI, LLM, and financial domain knowledge, making cross-industry transfers difficult.
Explicit 12-15 years, VP seniority, and mandatory GenAI/LLM/MLOps expertise make shortlisting highly strict.
Lead design and deployment of scalable, secure agentic AI and Generative AI frameworks tailored for critical banking use cases.
Develop and integrate full-stack AI applications incorporating ML and Large Language Models (LLMs) into Citi’s products and services.
Drive AI innovation through prototyping, setting technical standards, and managing production deployment with focus on cloud-native, containerized environments.
12 to 15 years of hands-on experience in engineering and deploying scalable enterprise AI/ML solutions.
Expert proficiency in Python programming and practical experience with Generative AI frameworks (e.g., LangChain, AutoGen, CrewAI).
Demonstrated ability with Large Language Models (LLMs), including vector databases, RAG, model tuning, and solution architecture validation.
Bachelor’s degree in Computer Science, Mathematics or equivalent; Master’s degree preferred.
Deep specialization in agent-based AI systems and Generative AI production implementations within financial services is critical.
Proven track record leading cross-functional AI projects from concept through secure, scalable production deployment in regulated environments.
Strong combination of technical leadership, architectural decision-making, and practical deployment expertise aligned to enterprise banking applications.