Lead AI/ML Developer - Vice President

Citigroup Inc.; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Citigroup Inc. in Pune, India seeks a Vice President, Application Development Tech Lead Analyst (C13) to shape automated AI-powered platforms for XVA.

You will architect and deploy scalable, production-grade AI solutions with agent-based and GenAI capabilities, collaborating with AI researchers, data scientists, product managers, and engineers. You will lead full-stack integration of ML/LLM tools, drive PoCs, set engineering standards, and deliver cloud-native, container-first services at scale,

Qualifications

• 12 to 15 years of hands-on experience in engineering and scalable enterprise solutions.
• Deep expertise in AI principles, agent-based systems, ML, and software engineering practices.
• Python proficiency is essential.
• GenAI frameworks: LangChain, AutoGen, CrewAI.
• LLMs with vector databases and Retrieval-Augmented Generation (RAG).
• NLP libraries and tools knowledge.
• GenAIOps in production; MLOps with MLflow.
• Docker for reproducible environments.
• Strong problem-solving and math skills.
• Excellent communication and collaboration.
• CVA/XVA regulatory knowledge preferred.

Responsibilities

• GenAI Solution Development: scalable agentic AI frameworks and GenAI solutions for banking use cases.
• Full-Stack Application Integration: integrate ML and LLM tools into AI solutions.
• AI Advancement & Prototyping: prototype and integrate latest AI advancements.
• Collaboration: work with AI researchers, data scientists, product managers, and engineers.
• Code Development & Standards: write production code, set technical standards.
• Deployment: cloud-native, container-first services at scale.
• Performance Evaluation: design metrics and evaluation for AI systems.

Skills

Python

GenAI

LangChain

AutoGen

CrewAI

LLMs

MLOps

Docker

NLP

Agent AI

Education

Bachelor's in CS/Math

Master's degree (preferred)

Tools

Docker

MLflow

Vector databases

RAG

Job description

Job Description
We’re currently looking for a high caliber professional to join our team as Vice President, Application Development Tech Lead Analyst (C13) based in Pune, India.

XVA Technology at Citi is undertaking a bold, multi-year transformation to build a best-in-class centralized cross asset platform risk system. We are re-engineering our technology estate to achieve world-leading performance and resiliency, enabling new capabilities. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you'll collaborate closely with high-caliber engineers and deeply engaged business and product partners - working together to define and deliver the next generation of XVA technology at Citi.

Role Overview/What will you do:

As an Applications Development Technology Lead Analyst, you will be instrumental in shaping the future of our product quality and delivery, working towards a target state of a fully automated platform with minimal manual QA intervention. This role specifically requires deep expertise in agentic AI and extensive hands-on experience in Generative AI (GenAI) projects. While a solid foundation in Machine Learning (ML) is beneficial, the successful candidate will be instrumental in architecting and implementing scalable AI frameworks, translating complex ideas into robust, production-ready systems, and contributing to Citi's strategic AI initiatives.

Key Responsibilities:

• GenAI Solution Development:Hands-on implementation, and deployment of scalable, robust agentic AI frameworks and Generative AI solutions for critical banking use cases, ensuring high performance, reliability, and security.
• Full-Stack Application Integration:Build full-stack applications that seamlessly integrate state-of-the-art Machine Learning (ML) and Large Language Model (LLM) tools and services into comprehensive AI solutions.
• AI Advancement & Prototyping:Proactively explore, prototype (Proof of Concept), and integrate the latest advancements in AI, particularly in agent-based systems, autonomous AI, and generative AI technologies.
• Collaboration:Fostering collaboration with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi’s products and services.
• Code Development & Standards:Write high-quality production code, drive proof-of-concepts, and validate architectural decisions through implementation. Set technical standards, guide design choices, and raise the bar for the team.
• Deployment:Take AI-enabled capabilities from early exploration and proof-of-concept through to secure, reliable, and production deployments, focusing on cloud-native, container-first services built to scale for enterprise use.
• Performance Evaluation:Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement.

Qualifications:

• Experience:12 to 15 years of deep hands-on experience in engineering and executing scalable enterprise solutions.
• AI Expertise:Deep expertise in AI principles, agent-based systems, machine learning, and advanced software engineering practices.
• Programming Proficiency:Expert proficiency in Python programming language is essential.
• GenAI Frameworks:Proven experience in implementing Generative AI use cases using frameworks like LangChain, AutoGen, CrewAI.
• LLM Implementation:Advanced knowledge in Large Language Models (LLM), with hands-on experience in implementing LLMs using vector databases and Retrieval-Augmented Generation (RAG), as well as tuning models. Ability to perform solution architecture validations for LLMs.
• ML & NLP:Understanding of machine learning models, experience with Natural Language Processing (NLP) libraries and tools.
• GenAIOps:Experience in putting Generative AI (GenAI) models into production and providing support to them (GenAIOps).
• MLOps:Experience using MLOps tools like MLflow for lifecycle management of machine learning models.
• Containerization:Experience in using Docker to create reproducible and scalable environments.
• Problem-Solving:Strong analytical and problem-solving skills with an aptitude for math and statistics.
• Communication:Excellent communication and collaboration skills, with the ability to engage effectively with diverse stakeholders.
• Self-Motivation:Self-motivated and capable of working independently as well as part of a team in a fast-paced environment.
• Business knowledge of CVA, XVA, regulatory stress testing is preferred

Education:

Bachelor’s in Computer Science, Mathematics or equivalent.

A Master’s degree in preferred

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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