Senior AI and Machine Learning Engineer - Assistant Vice President

Job Title: Senior AI and Machine Learning Engineer - Assistant Vice President Company: Citi Job Category: Machine Learning Roles & Responsibilities: This role will be responsible for all aspects of Reconciliation platform design and development and the delivery and adoption of our next generation solution. Key Responsibilities: As part of the Global Reconciliation Utility (GRU) and Data Engineering team, this role will be responsible for development and implementation of GRU AI ML models strategies. * 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. Work Location: Chennai, Tamil Nadu, India Availability: Full time

Qualifications: * Experience: 7\+ 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, LangGraph, ADK. * 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). * 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. Education: * Bachelor’s in Computer Science, Mathematics or equivalent. * A Master’s degree in preferred Most Relevant Skills Please see the requirements listed above. Key Skills: Machine Learning, Python, NLP Salary: Not disclosed