Senior Agentic AI Engineer (VP)
Citigroup
- Location
- Tampa Florida United States
- Work model
- On-Site
- Level
- Staff
- Posted
- Aug 21, 2026
Skills
About this role
About Citi 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.
About the Team
The Senior Agentic AI Engineer is a high-impact technical professional who sits at the convergence of advanced AI engineering and enterprise-scale financial technology — a role designed for those who do not just follow the frontier of generative and agentic AI, but actively shape it. This is a position of real consequence: you will help define how one of the world's most complex financial institutions architects, governs, and deploys AI systems that are grounded, reliable, and built to operate at scale. We are looking for a practitioner of deep technical conviction — someone who brings mastery of context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration, and who is energized by the challenge of making these capabilities production-ready within the rigorous demands of a regulated, global enterprise. The successful candidate will operate at the center of a cross-functional ecosystem — partnering with AI architects, engineering leads, and business stakeholders to design and deliver agentic AI solutions that meaningfully advance Citi's automation and operational efficiency agenda. You will architect sophisticated agent systems, mentor the next generation of AI engineers, and contribute to a culture of technical excellence that sets the standard for how AI is built and governed across the organization. Your work will directly strengthen Citi's Controls Technology platform, and the ripple effects of what you build will be felt across teams, products, and the millions of clients and communities Citi serves every day.
Responsibilities
Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges. Architect advanced context engineering strategies — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production. Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) . Build and optimize RAG systems , including hybrid search, multi-vector