Senior Engineering Development Manager, SVP

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.

The Senior Engineering Development Manager, SVP is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to drive applications systems analysis and programming activities.

Responsibilities:

• Strategic Platform Leadership: Design and architect a cutting-edge, end-to-end platform for image digitization, integrating Generative AI technologies with a focus on scalability, reliability, and performance.

• AI/ML Innovation: Drive the implementation of RAG-based architectures and leverage multimodal capabilities of commercial Large Language Models to build intelligent applications, including search, chat agents, and guided analytics.

• Engineering Excellence: Implement and champion best DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline development and deployment.

• Team Leadership & Development: Lead, mentor, and grow a high-performing team of developers and analysts, fostering a culture of technical excellence, continuous learning, and innovation. Recruit top talent and ensure professional growth for all team members.

• Project & Risk Management: Oversee the Book of Work deliverables, manage project goals, and proactively mitigate risks. Adapt quickly to changing priorities, ensuring the team pivots effectively to meet evolving business needs.

• Cross-Functional Collaboration: Influence and negotiate with senior leaders and external partners. Lead technical design discussions, negotiating feature sets and guiding development efforts across integrating applications.

• Compliance & Ethical Conduct: Appropriately assess and manage technical and business risks, safeguarding the firm's reputation and assets. Ensure compliance with applicable laws, regulations, and internal policies, exercising sound ethical judgment.

• Product Partnership: Collaborate closely with Product Development to align on priorities, roadmaps, and feature delivery.

Qualifications:

• 15+ years of progressive industry experience in systems architecture and software development, with a strong emphasis on Data Processing, AI/ML, and DevOps.

• Proven experience designing and implementing large-scale, complex microservices architectures in cloud environments (e.g., single/multi-tenant solutions on AWS, Azure, GCP).

• Deep expertise in Generative AI technologies, including proficiency in AI/ML frameworks (e.g., Langchain) and practical experience building applications with Large Language Models.

• Strong hands-on experience with Python as a primary development language, complemented by full-stack application development.

• Extensive experience wit