Lead Generative AI Python Engineer - Vice President

Citi

Remote

Quick summary

Work type: Remote
Location: Jersey City, NJ
Salary: $142,320–$213,480 / yr
Posted: 2 days ago
Closes: Aug 31, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k

This role $178k

$131k most similar roles pay here $247k

This role pays less than 62% of similar roles. Most pay $159,387–$235,750 — the shaded band above. At the midpoint, this role pays about $178k versus about $198k 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 369 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 347 roles with salary data.

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At a glance

TL;DR · Lead Generative AI Python Engineer - Vice President

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As a senior engineer and Python expert in the Services Tech AI team at Citi, you will lead the design and development of advanced GenAI platforms and applications, focusing on seamless integration and scalability across various business units. Your day-to-day responsibilities include collaborating with data science teams to define architecture for key use-cases, driving deployment of new GenAI products, and resolving complex technical issues. You will also mentor mid-level developers in Python and GenAI technologies while ensuring adherence to coding standards and best practices. The role requires extensive experience with Python libraries such as FastAPI, Flask, Django, Pandas, NumPy, Prefect, Scikit-learn, and Hugging Face, along with a strong background in developing scalable enterprise software solutions. This position plays a crucial role in Citi's strategic goals by integrating business, architecture, and infrastructure within the GenAI ecosystem to deliver innovative AI-driven applications at scale.

Skills

Python FastAPI Flask Django Pandas NumPy Prefect Scikit-learn Hugging Face AI ML CI/CD Cloud Services PostgreSQL MongoDB Kubernetes AWS Azure Google Cloud Docker Terraform

What you'll do

Lead the design and development of Python-based GenAI platforms for seamless operation.
Define overall architecture for key use-cases with data science stakeholders using Python.
Drive deployment of new GenAI products and process improvements with robust Python solutions.
Resolve high-impact technical issues by providing innovative Python-driven solutions.
Develop and enforce coding standards, testing methodologies, and debugging practices in Python.

What we're looking for

Over 6 years of experience in developing and implementing scalable Python-based platforms for AI-driven applications.
Proven hands-on expertise with key Python libraries such as FastAPI, Flask, Django, Pandas, NumPy, Prefect, Scikit-learn, and Hugging Face.
Extensive background in delivering complex Python solutions into production environments.
Strong track record of integrating AI/ML technologies within enterprise software systems.
Experience managing multiple concurrent projects involving Python-based technologies.