Lead AI/ML Developer - Vice President

Citi; Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Citi in Pune, India seeks a Vice President, Applications Development Tech Lead to shape the next generation of AI-enabled platforms. You will architect and deploy agentic AI and GenAI solutions at scale, integrating ML/LLM capabilities across Citi’s services.

Lead cross-functional teams, define standards, and drive production-ready deployments with a cloud-native, container-first mindset. Strong Python, ML/NLP and GenAI experience are essential.

Qualifications

• 12–15 years hands-on experience in scalable enterprise solutions.
• Deep expertise in AI principles, agent-based systems, ML and software engineering.
• Expert Python programming is essential.
• Proven GenAI use cases with LangChain, AutoGen and CrewAI.
• Hands-on LLMs with vector databases and Retrieval-Augmented Generation (RAG).
• ML & NLP libraries experience; strong problem-solving and math skills.
• GenAIOps: productionizing GenAI models and support.
• MLOps: lifecycle management with tools like MLflow.
• Docker containerization for reproducible environments.
• Excellent communication and collaboration across stakeholders.
• Self-motivated, independent and team-oriented.
• Knowledge of CVA, XVA, regulatory stress testing preferred.

Responsibilities

• GenAI solution development: scalable agentic AI frameworks for banking use cases.
• Full-stack integration: ML/LLM tools into comprehensive AI solutions.
• AI prototyping: rapid PoCs and integration of latest AI advancements.
• Collaborate with AI researchers, data scientists, product managers and engineers.
• Code development: high-quality production code and architectural validation.
• Deployment: production-ready, cloud-native, container-first services.
• Performance evaluation: rigorous metrics for AI system and agent performance.

Skills

Python

Agent-based AI

ML & NLP

GenAI integration

Communication

Problem solving

Self-motivation

Team collaboration

Math & stats

Education

Bachelor’s in CS/Math or equivalent

Master’s degree preferred

Tools

LangChain

AutoGen

CrewAI

MLflow

Vector databases

RAG

Docker

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 behavioural 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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