Overview

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.

Responsibilities

• 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.
• 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.
• 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

• 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:
• Job Family:
• Applications Development
• Most Relevant Skills
• Please see the requirements listed above.
• Other Relevant Skills
• For complementary skills, please see above and/or contact the recruiter.
• Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
• If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
• View Citi’s EEO Policy Statement and the Know Your Rights poster.