Senior Vice President, Generative AI Solutions Application Development Lead

Citi

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$176,720–$265,080 / yr
Posted
31 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $221k
$137k most similar roles pay here $279k

This role pays more than 63% of similar roles. Most pay $159,225–$243,950 — the shaded band above. At the midpoint, this role pays about $221k versus about $202k for comparable roles.

Based on 239 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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At a glance

TL;DR · Senior Vice President, Generative AI Solutions Application Development Lead

The Generative AI Solutions Application Development Lead Senior Vice President is a hands-on leadership role within the Services Technology Business focused on building an intelligent document processing platform. You will lead a team to design, architect, and implement scalable application systems while driving innovation in RAG-based architectures and multimodal capabilities of commercial Large Language Models to create search tools, chat agents, and guided analytics. The role involves managing project risks, collaborating with product partners on roadmaps, and developing robust workflow libraries. Key technical requirements include expertise in Python, full-stack development, and microservices architecture in cloud environments like AWS, Azure, or GCP. You will utilize a modern tech stack including Langchain, Docker, Kubernetes, Jenkins, GitLab, and Infrastructure as Code to manage data pipelines across SQL, NoSQL, and data lake storage solutions.

What you'll do

  • Perform hands-on software development using Python to build scalable application systems.
  • Implement RAG-based architectures and multimodal capabilities of Large Language Models for intelligent applications.
  • Champion DevOps best practices including CI/CD pipelines, automated testing, and containerization with Docker and Kubernetes.
  • Oversee the Book of Work by managing project goals and proactively mitigating risks.
  • Lead technical design discussions to negotiate feature sets and guide development efforts across integrating applications.
  • Develop comprehensive product roadmaps and project plans in collaboration with Product Development teams.
  • Build robust workflow libraries to enhance the capabilities of the intelligent document processing platform.

What we're looking for

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent work experience.
  • 10+ years of industry experience in systems architecture and software development with a focus on Data Processing, AI/ML, and DevOps.
  • 8+ years of experience designing and implementing large-scale microservices architectures in cloud environments like AWS, Azure, or GCP.
  • 8+ years of experience with the software development lifecycle, microservices architecture, and API design principles.
  • 5+ years of hands-on experience with Python as a primary language and full-stack application development.
  • 5+ years of experience with DevOps tools (Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code practices.
  • 5+ years of experience in Generative AI technologies, including Langchain and building applications with Large Language Models.
  • Demonstrated leadership skills in managing engineering teams, setting standards, and driving project execution.

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