Application Development Manager - Generative AI solutions - SVP at Citi

Jersey City, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, AI/ML, DevOps, Python, Microservices, Cloud Environments, Data Processing, CI/CD, Containerization, Automated Testing, Leadership, Project Management, Collaboration, Problem Solving, API Design, Data Storage

Industry

Financial Services

Description

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. 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. 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. ------------------------------------------------------ Artificial Intelligence (AI), Data Processing, DevOps, Machine Learning (ML), Python (Programming Language). ------------------------------------------------------ Anticipated Posting Close Date: Dec 26, 2025 ------------------------------------------------------

Responsibilities

Design and architect a platform for image digitization using Generative AI technologies, while leading a high-performing team of developers. Oversee project deliverables, manage risks, and collaborate with product partners to align on priorities and feature delivery.