Senior GenAI Architect & Tech Lead

Citi; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Senior Gen AI Engineer – Vice President at Citi in the Global Technology group is a hands-on leader shaping GenAI-powered backend services. You will design, develop, and deploy scalable Python applications, leveraging OpenAI, Gemini, and other GenAI APIs, and drive retrieval augmented generation strategies.

You will manage one or more Applications Development teams, mentor engineers, review technical solutions, and collaborate with product managers and data scientists to deliver robust

Qualifications

• Hands-on GenAI development with Python and AI APIs.
• Experience with GenAI concepts and APIs such as OpenAI or Gemini.
• Strong knowledge of Python web frameworks (FastAPI, Flask, Django).
• Experience with CI/CD, Git, testing.

Responsibilities

• Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
• Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
• Review and analyze proposed technical solutions for projects
• Contribute to formulation of strategies for applications development and other functional areas
• Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
• Provide evaluative judgment based on analysis of factual data in complicated and unique situations
• Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day‑to‑day staff management issues, including resource management and allocation of work within the team/project
• Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
• 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.

Skills

Python

Generative AI

GenAI APIs

Web Frameworks

CI/CD

Git

Databases

Education

Bachelor's degree

Master's degree preferred

Tools

OpenShift ECS

Lightspeed

Job description

Senior Gen AI Engineer – Vice President at Citi in the Global Technology group is a hands-on leader shaping GenAI-powered backend services. You will design, develop, and deploy scalable Python applications, leveraging OpenAI, Gemini, and other GenAI APIs, and drive retrieval augmented generation strategies.

You will manage one or more Applications Development teams, mentor engineers, review technical solutions, and collaborate with product managers and data scientists to deliver robust