Lead AI and Machine Learning Engineer - Vice President OR Lead AI Engineer, Generative AI - Vice President
Citi (company site, opens in a new tab)12–15 yrsPuneHybridDirect career pageEst. 50–90 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead development and deployment of scalable Generative AI (GenAI) and agentic AI frameworks for critical banking applications.
- Design and build full-stack applications integrating Machine Learning (ML) and Large Language Models (LLM) into enterprise AI solutions.
- Drive AI innovation through prototyping, code development, architectural validation, and transitioning solutions from concept to secure production deployment with performance optimization.
Minimum Requirements
- 12 to 15 years of hands-on experience in engineering scalable enterprise solutions.
- Expert proficiency in Python programming and practical experience with GenAI frameworks such as LangChain, AutoGen, or CrewAI.
- Demonstrated experience implementing and tuning Large Language Models (LLM) including use of vector databases and Retrieval-Augmented Generation (RAG).
- Bachelor’s degree in Computer Science, Mathematics or equivalent; Master’s degree preferred.
Ideal Candidate Profile
- Proven track record of owning AI solution architecture, development, and production deployment in a complex financial services environment.
- Strong expertise in agent-based AI systems, Generative AI, and integrating AI capabilities end-to-end including MLOps and containerization (Docker).
- Experience collaborating cross-functionally with AI researchers, data scientists, and product teams to scale AI innovations aligned with strategic business objectives.