GenAI Application Development Senior Group Manager Director

Overview

Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 100 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. We enable clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

The COO Enterprise Solution Engineering capability is responsible for the development of best-in-class technology platforms for Operations, including development of an integrated portfolio of Operations tools, end-to-end solution design for large scale transformation initiatives, design governance, and adoption of Generative AI solutions for driving operational efficiencies.

This role is for an innovative Generative AI Engineer to drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. The successful candidate will contribute to the technical direction of products and services, in still engineering best practices. This position involves close collaboration with various technology teams to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes, and to develop partnerships with third‑party providers for validating and adopting best‑of‑breed solutions.

• Contribute significantly to both engineering and research initiatives within the Generative AI domain.
• Adopt a product-focused approach, ensuring the development of robust, scalable, and user‑friendly solutions.
• Thrive in a fast‑paced environment by continuously testing, learning, and tackling cutting‑edge problems.
• Actively engage in pair programming, promote lean methodologies, and streamline processes by removing unnecessary bureaucracy.
• Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution.
• Develop foundational components and mature technology capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs).
• Drive the enterprise‑wide adoption and successful integration of Generative AI solutions.
• Demonstrate strong problem‑solving capabilities and a proactive learning mindset, continuously acquiring new skills.
• Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders.
• Be adaptable and resourceful in navigating complex technical and organizational challenges.
• Appropriately assess risk when business decisions are made, demonstrating sound ethical judgment and particular consideration for the firm’s reputation, its clients and assets.

• Deep hands‑on experience in engineering and executing enterprise solutions that scale effectively.
• Team building, people management, and mentoring skills.
• Fluency in at least two programming languages, with a strong preference for Python and Java. Proficiency in Java script/Typescript and Golang is also highly valued.
• Strong understanding of Language Models (LLMs), transformers, agentic frameworks, vector stores, and search algorithms.
• Experience with relevant frameworks such as Spring (AI, Boot, Core, etc.), N8N, Flask, Lang Chain, Lang Graph, ADK, and MLFlow.
• Familiarity with one of the major cloud platforms including AWS, GCP, or Azure.
• Experience in building complex RAG applications.
• Experience in building AI Agent workflows using an AI orchestration platform such as Lang Graph, Crew AI, Autogen or ADK.
• Proficiency in database technologies, such as Oracle, Postgres, or Mongo
  
  DB.
• Experience with messaging and integration platforms like Kafka or JMS/MQ.
• UI development skills with technologies such as React JS, Gradio, Stream Lit.
• Experience designing and implementing REST and Web Socket APIs.
• Strong knowledge of…