Application Development Manager - Generative AI solutions - SVP

Are you a visionary engineering leader with a passion for building cutting-edge platforms using Generative AI? Do you thrive on driving innovation, managing high-performing teams, and delivering impactful solutions in a fast-paced environment?

Citi is seeking a highly experienced and strategic Sr. Engineering Development Manager, SVP to lead the development of our intelligent document processing platform for the Services Technology Business. This pivotal role involves spearheading the design, architecture, and implementation of highly scalable and robust application systems, leveraging the latest advancements in AI and cloud technologies. If you're ready to shape the future of intelligent automation and lead a talented team to success, we invite you to join us.

About the Role:

As the Sr. Engineering Development Manager, SVP, you will be responsible for defining the technical vision, managing a team of accomplished engineers, and coordinating with product and technology partners to deliver transformative solutions. Your expertise will be critical in driving systems analysis and programming activities, ensuring our platforms are scalable, reliable, and performant.

Key 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 with DevOps tools (Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.

• Comprehensive understanding of software development lifecycle, microservices architecture, and API design principles.

• Experience with diverse data storage solutions (NoSQL, SQL, data lakes) and pipeline orchestration.

• Demonstrated leadership abilities in managing and mentoring engineering teams, setting development standards, and driving project execution.

• Exceptional analytical, problem-solving, and troubleshooting skills, with a track record of delivering innovative solutions and improving performance.

• Superior communication, collaboration, and mentorship skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical stakeholders.

Additional Responsibilities & Desired Attributes:

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