This role pays less than
56%
of similar roles. Most pay
$161,250–$225,325
— the shaded band above.
At the midpoint, this role pays about
$178k
versus about
$193k
for comparable roles.
Based on 240 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
271 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 255 roles with salary data.
Lead Generative AI Python Engineer - Vice President joins the Services Tech AI team to lead the design, development, and maintenance of complex Python-based GenAI platforms, applications, and supporting infrastructure. This role involves building scalable solutions for various business units, managing multiple concurrent projects, and collaborating with data science and technical stakeholders to define architecture for key use cases. The candidate will develop robust coding standards, oversee CI/CD pipelines, and mentor mid-level developers while ensuring compliance with risk and control standards. Essential skills include extensive experience in Python using libraries such as FastAPI, Flask, Django, Pandas, NumPy, Prefect, Scikit-learn, and Hugging Face. The role focuses on solving high-impact technical problems within the generative AI ecosystem, specifically addressing infrastructure integration and the deployment of innovative products to provide commercial benefits across the bank's diverse lines of business.
Design, develop, and maintain complex Python-based GenAI platforms and supporting infrastructure for various business units.
Define system architectures for key use cases by engaging with data science, technical, and business stakeholders.
Drive the deployment of new GenAI products and process improvements to deliver commercial benefits.
Resolve high-impact technical problems by evaluating complex business processes and industry standards.
Establish and enforce robust Python coding standards, testing methodologies, and debugging practices for enterprise solutions.
Manage multiple concurrent projects while engaging with external vendors and startups to explore new technologies.
Serve as a coach and advisor to mid-level developers regarding Python and GenAI technologies.
Ensure all Python-based GenAI systems comply with risk management, governance, and internal control standards.
What we're looking for
Bachelor's degree, university degree, or equivalent experience is required.
6+ years of experience in the software industry with an emphasis on building enterprise software.
6+ years of experience developing scalable Python-based platforms for AI systems using libraries like FastAPI, Flask, Django, Pandas, NumPy, Prefect, Scikit-learn, and Hugging Face.
5+ years of experience delivering complex Python-based solutions and services into production.
Proven understanding of Generative AI systems, AIOps, and application monitoring/evaluation.
Experience with cloud architectures and public cloud offerings.
Experience with software development agents, agile development, CI/CD pipelines, testing, and code reviews.