Teams at Citi

Analyze and manage reference data products for a global corporate actions platform. Define business and functional requirements, data models, mappings, user stories, and product backlogs. Partner with technology, operations, vendors, and stakeholders to develop interfaces, validate data, publish information downstream, and improve governance, automation, and data quality. Perform SQL-based analysis, documentation, user training, process streamlining, and support AI-ready data initiatives.

Lead the design, development, modernization, and production delivery of enterprise-scale applications using Java and Python. The role includes building backend services, integrating frontend technologies and GenAI capabilities, applying cloud-native architecture, partnering with global business and technology teams, mentoring developers, and ensuring secure, stable, controlled applications in an Agile environment.

Leads the adoption and delivery of Generative AI capabilities across enterprise applications. Defines technical direction, architectures, and reusable patterns; builds LLM, RAG, and agentic solutions; owns production delivery and continuous improvement; mentors engineers; and ensures security, resilience, governance, evaluation, and responsible AI practices. Collaborates with global technology and business teams to support regulatory, risk, and transformation priorities.