Gen AI Engineer - Python - Vice President

The Gen Ai Engineer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Design, develop, and maintain high-quality, scalable, and efficient Python code for Generative AI applications.   Integrate and leverage various GenAI-related APIs (e.g., OpenAI, Gemini) to build innovative features and products.   Implement and optimize Retrieval Augmented Generation (RAG) systems to enhance AI model capabilities and provide contextually relevant responses.   Develop and deploy robust backend services using Python frameworks such as FastAPI, Flask, or Django.   Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define requirements and deliver solutions.   Write comprehensive unit and integration tests to ensure code quality and reliability.   Participate in code reviews, contributing to a culture of high-quality code and best practices.   Optimize application performance, scalability, and security.   (Optional, if relevant): Work with cloud container orchestration services like   OpenShift   ECS for deploying and managing applications.   (Optional, if relevant): Familiarity with Lightspeed (referring to a specific internal tool or technology - clarify if this is a known external tool) is a plus.   Recommended Qualifications: Minimum of 6 years professional software development experience with a strong focus on Python.  Proven hands-on experience with Generative AI concepts and technologies.  Demonstrable experience working with GenAI-related APIs, such as OpenAI, Gemini, etc.  Solid understanding and practical experience in implementing Retrieval Augmented Generation (RAG) systems.  Expertise in at least one modern Python web framework: FastAPI, Flask, or Django.  Strong understanding of software development best practices, including version control (Git), testing, and CI/CD.   Experience with relational and/or NoSQL databases.   Excellent problem-solving skills and the ability to work independently as well as in a team environment.   Strong communication and interpersonal skills.

Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.