Teams at Citi

Provides technical and business support for enterprise applications, including monitoring, incident resolution, risk reconciliation, release support, documentation, contingency planning, and production stability improvements. Partners with development, technology, business, and vendor teams to prioritize fixes, manage service-level expectations, assess risks, and support application enhancements. Acts as a subject-matter expert, coaches junior analysts, and leads stability, efficiency, and effectiveness initiatives.

Design, build, and deploy enterprise-scale agentic AI and generative AI solutions for banking. Develop full-stack LLM applications, integrate multiple model providers, establish evaluation and feedback systems, and prototype emerging AI technologies. Work in agile squads using MVP-driven delivery while ensuring security, resiliency, scalability, and regulatory alignment. Mentor junior engineers and collaborate cross-functionally on production-grade AI capabilities.

Leads strategic data analytics, translates complex analysis into business insights, develops data visualizations, and recommends solutions to senior stakeholders. Serves as a subject matter expert on data science, data mining, big data, and statistical modeling. Guides technical strategy, advises on business operations and risk, influences significant decisions, and manages team resources and work allocation.