Generative AI Engineer, AVP
Listed on 2026-05-31
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Software Development
AI Engineer
Overview of the Role
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides 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.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first‑class customer experience.
We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well‑rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride.
If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.
The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting‑edge AI solutions that will shape the future of our industry. We are seeking a hands‑on individual with a passion for rapid prototyping, a deep curiosity for emerging technologies, and the drive to turn ambitious ideas into reality.
If you are eager to build, learn, and grow in the fast‑paced world of Generative and Agentic AI, this role is for you.
- Develop & Prototype:
Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible. - Implement AI Models:
Implement, train, and fine‑tune a variety of machine learning and deep learning models to solve complex business problems. - Build Robust Systems:
Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production‑level quality. - Manage Data Pipelines:
Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high‑quality data for training and inference. - Deploy & Operate:
Utilize MLOps best practices to deploy AI applications in containerized environments like Open Shift, ensuring robust monitoring, scalability, and reliability. - Innovate & Research:
Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof‑of‑concept projects to integrate new technologies into our stack. - Collaborate:
Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.
Skills and Qualifications
- 5–8 years in a product development / product management environment
- Python Proficiency:
Strong and efficient programming skills in Python, including deep familiarity with AI‑centric libraries (e.g., Num Py, Pandas, Scikit‑learn). - ML/DL Foundation:
Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs). - Generative AI
Experience:
Demonstrable understanding of and hands‑on experience with Generative AI, Large…
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