Senior AI and Machine Learning Engineer - Assistant Vice President

Overview

Assistant Vice President role in the Olympus Data Reconciliation and Engineering team, building AI/ML and GenAI solutions for the Global Reconciliation Utility (GRU) and Data Engineering team.

What you'll do

• Develop and implement GRU AI/ML model strategies.
• Implement and deploy scalable, robust agentic AI frameworks and Generative AI solutions for critical banking use cases, ensuring high performance, reliability and security.
• Build full-stack applications that integrate state-of-the-art Machine Learning (ML) and Large Language Model (LLM) tools and services into comprehensive AI solutions.
• Explore, prototype (Proof of Concept) and integrate the latest advancements in AI, particularly agent-based systems, autonomous AI and generative AI technologies.
• Collaborate with AI researchers, data scientists, product managers and software engineers to integrate and scale AI solutions across Citi's products and services.
• 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.
• Take AI-enabled capabilities from early exploration and proof-of-concept through to secure, reliable, production deployments, focusing on cloud-native, container-first services built to scale for enterprise use.
• Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement.

What you'll need

• 7+ years of deep hands-on experience in engineering and executing scalable enterprise solutions.
• Deep expertise in AI principles, agent-based systems, machine learning and advanced software engineering practices.
• Expert proficiency in Python programming language.
• Proven experience implementing Generative AI use cases using frameworks like LangChain, LangGraph, ADK.
• Advanced knowledge of Large Language Models (LLM), with hands-on experience implementing LLMs using vector databases and Retrieval-Augmented Generation (RAG), as well as tuning models.
• Ability to perform solution architecture validations for LLMs.
• Understanding of machine learning models and experience with Natural Language Processing (NLP) libraries and tools.
• Experience putting Generative AI (GenAI) models into production and providing support to them (GenAIOps).
• Experience using Docker to create reproducible and scalable environments.
• Strong analytical and problem-solving skills with an aptitude for math and statistics.
• Excellent communication and collaboration skills, with the ability to engage effectively with diverse stakeholders.
• Self-motivated and capable of working independently as well as part of a team in a fast-paced environment.
• Bachelor's in Computer Science, Mathematics or equivalent.

Nice to have

• A Master's degree.

Details

• Location: Chennai, Tamil Nadu, India.
• Full-time role.