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This is a senior level Hands On Development role. 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.
Job Responsibility:
Software Development - Hands on Software development
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
Project & Risk Management: Oversee the Book of Work deliverables, manage project goals, and proactively mitigate risks
Cross-Functional Collaboration: Influence and negotiate with senior leaders and external partners
Product Partnership: Collaborate closely with Product Development to align on priorities, roadmaps, and feature delivery
Requirements:
10+ years of progressive industry experience in systems architecture and software development, with a strong emphasis on Data Processing, AI/ML, and DevOps
8+ years proven experience designing and implementing large-scale, complex microservices architectures in cloud environments (e.g., single/multi-tenant solutions on AWS, Azure, GCP)
8+ years experience and comprehensive understanding of software development lifecycle, microservices architecture, and API design principles
5+ years hands-on experience with Python as a primary development language, complemented by full-stack application development
5+ years experience with DevOps tools (Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices
5+ years experience in Generative AI technologies, including proficiency in AI/ML frameworks (e.g., Langchain) and practical experience building applications with Large Language Models
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
Bachelors Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience
Nice to have:
Lead the build-out of an intelligent document processing platform for the Services Technology Business
Directly work with product partners, developing project plans, and constructing comprehensive roadmaps
Engage in building robust workflow libraries to enhance platform capabilities
Demonstrable portfolio of significant software applications developed over the last 5 years
Experience with full life cycle software development, emphasizing Generative AI integration
What we offer:
Discretionary and formulaic incentive and retention awards