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Provide technical and business support for Citi applications, troubleshoot and resolve production incidents, participate in releases and disaster recovery testing, maintain runbooks and documentation, perform RCAs and change control, liaise with stakeholders and technology partners, and support stability and efficiency initiatives.

Leads architecture and delivery of mission-critical cloud-native systems using Java, Spring, microservices, and event-driven patterns. Defines technical designs, APIs, integration strategies, security controls, and engineering standards. Mentors senior engineers, guides squads through the SDLC, and partners with platform and SRE teams on Kubernetes, cloud infrastructure, observability, CI/CD, data integration, resiliency, and operational excellence. Communicates technical trade-offs and translates business needs into architecture roadmaps.

Leads architecture, design, and delivery of mission-critical cloud-native systems using Java, Spring, microservices, and event-driven patterns. Builds scalable services, establishes engineering standards, mentors senior engineers, and partners with product, security, platform, and SRE teams. Designs cloud, data, integration, observability, security, and CI/CD solutions while driving quality, resilience, performance, compliance, and operational excellence across the full software development lifecycle.

Citi's Internal Audit Summer Analyst Program is a 16-week internship focused on assessing governance, risk management, and internal controls, providing training, mentoring, and networking opportunities.

Leads product management and business analysis for a global corporate actions data platform. Defines product vision, roadmaps, requirements, epics, user stories, and backlog priorities; oversees data modeling, vendor mapping, SQL validation, interfaces, golden-copy governance, automation opportunities, stakeholder engagement, testing, training, and release governance.

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.

Leads data analytics initiatives, develops statistical analyses of large datasets, establishes analytics standards, resolves complex issues, and advises stakeholders. The role oversees data science project delivery, resource planning, risk management, compliance, and cross-functional communication. Requires at least six years of experience with statistical modeling and a bachelor’s degree or equivalent experience.

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 research emerging autonomous AI technologies. The role emphasizes rapid MVP delivery, production reliability, security, and scalable architectures. It also requires cross-functional collaboration, technical mentorship, and alignment with regulated financial-services requirements.