Full Stack Engineer - AI Enabled - Senior Vice President

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities.

Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

Citi is looking for a highly skilled and innovative Full Stack Engineer with a strong background in modern enterprise architecture and a passion for Artificial Intelligence. This role will be instrumental in designing, developing, and implementing robust, scalable, and AI-enabled solutions across our platforms. The successful candidate will possess deep expertise in Java, Angular, microservices, and event-based architectures, combined with a proven ability to leverage agentic AI to create intelligent agents that solve complex business challenges.

This is an exciting opportunity to contribute to Citi’s digital transformation by integrating advanced AI capabilities into our core engineering practices.

• Design, develop, and maintain high-performance, scalable, and secure full-stack applications using Java, Angular, microservices, and event-based architectures.
• Lead the integration of AI capabilities into existing and new applications, focusing on creating and deploying agentic AI solutions for various business use cases.
• Collaborate with data scientists, AI researchers, product managers, and other engineering teams to translate business requirements and AI models into production-ready software.
• Architect and implement microservices and event-driven systems that are resilient, fault-tolerant, and performant.
• Develop front-end user interfaces using Angular, ensuring an intuitive and responsive user experience.
• Contribute to the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and operational support.
• Promote and implement best practices in software engineering, including code quality, testing, CI/CD, security, and documentation.
• Stay abreast of emerging technologies and trends in full-stack development, AI, and agentic systems, recommending and implementing innovative solutions.
• Mentor junior developers and actively participate in code reviews, fostering a culture of technical excellence and continuous learning.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

• Significant hands‑on experience in full-stack software development.
• Proven experience in designing and building scalable, high-performance microservices.
• Demonstrated experience with event-driven architectures (e.g., Kafka, RabbitMQ).
• Solid experience with modern front-end frameworks, specifically Angular.
• Experience with AI technologies, including machine learning, natural language processing, or other AI domains.
• Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications.

• Languages:
  • Expert proficiency in Java and Type Script/JavaScript.
• Back-end:
  • Strong expertise in Java development, including Spring Boot, Spring Cloud.
  • Extensive experience with microservices architecture principles and patterns.
  • Hands‑on experience with message brokers and event streaming platforms (e.g., Apache Kafka, RabbitMQ).
  • Proficiency with relational and No
    
    SQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
• Front-end:
  • Expertise in Angular framework (versions 2+), including NgRx or other state management patterns.
  • Strong understanding of HTML5, CSS3, and responsive web design.
• Dev Ops & Cloud:
  • Experience with containerization technologies (Docker) and orchestration (Kubernetes).
  • Proficiency with CI/CD pipelines (e.g., Jenkins, Git Lab CI, Azure Dev Ops).
  • E…