Gen AI Java / Python Engineer - Vice President

Overview of Citi: 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. Overview of the organization: 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. Role :   This role is for an innovative Full Stack Engineer to help the build out of solutions that comprise of agentic flows & application integration, 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, instil engineering best practices, and promote cultural change within the organization. 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 engineering & delivery of end-to-end solutions. 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 Required Skills, Knowledge & Experience Required Skills Strong engineering experience with high-performance, large-scale distributed systems. Fluency in Java, Python or both . UI development skills with technologies such as  React JS or StreamLit Experience with frameworks such as  Spring (Boot, Core, JDBC, AI etc.) or Flask Proficiency in database technologies, such as  Oracle, Postgres, or MongoDB. Experience designing and implementing  REST or WebSocket APIs Experience with messaging and integration platforms like  Kafka or JMS/MQ. Familiarity with one of the major cloud platforms including  AWS, GCP, or Azure Strong knowledge of infrastructure tools, including  Docker, Kubernetes, Terraform, and Helm . Experience with build and deployment (CI/CD) tools such as Jenkins and Gradle. Good to have skills Proficiency in Javascript/Typescript or Golang is also highly valued Understanding of Gen AI Engineering - LangChain, LangGraph, and MLFlow, LLMs, transformers, agentic frameworks, vector stores, and search algorithms.