Senior AI/ML Engineer - Engineering Excellence (Full Stack Developer) Vice President

Citi

Closes in 4 days Remote

Quick summary

Work type
Remote
Location
Remote
Posted
3 days ago
Closes
Jun 10, 2026 (soon)

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Salary context

How this pay compares to similar roles

Similar $210k
$161k most similar roles pay here $258k

This listing doesn't post a salary. Most similar roles pay $173,050–$246,150.

Based on 240 similar postings.

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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 397 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 367 roles with salary data.

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At a glance

TL;DR · Senior AI/ML Engineer - Engineering Excellence (Full Stack Developer) Vice President

Citi’s Engineering Excellence and Transformation team seeks a Senior AI/ML & Agentic AI Engineer with extensive experience in Python, Java, database technologies, and cloud platforms to design and develop cutting-edge AI solutions. This role involves architecting end-to-end AI systems, integrating advanced AI assistant tools, and deploying robust models using CI/CD methodologies on AWS, Azure, or GCP. The engineer will fine-tune Large Language Models (LLMs) for enterprise applications, implement generative AI methods like prompt engineering and RAG, and ensure data integrity with SQL and NoSQL databases. Key responsibilities include fostering a culture of innovation through mentorship and adherence to ethical AI guidelines in a highly regulated environment.

What you'll do

  • Lead the design and development of advanced AI/ML and Agentic AI solutions using Python and Java.
  • Develop end-to-end AI systems integrating with existing applications on major cloud platforms.
  • Fine-tune Large Language Models (LLMs) for robust, production-ready integration in enterprise environments.
  • Implement CI/CD pipelines and orchestration tools to automate the deployment of AI models and services.
  • Design efficient data storage and retrieval strategies using both SQL and NoSQL databases for AI applications.
  • Advocate for engineering best practices and tooling standards in full-stack AI development.

What we're looking for

  • 6+ years of experience in software engineering with at least 5 years focused on Generative AI and Agentic AI.
  • Expert proficiency in Python for data manipulation and machine learning frameworks like Pandas and NumPy.
  • Strong skills in Java (Spring Boot, Microservices) for building scalable enterprise applications.
  • Extensive hands-on experience with cloud platforms (AWS, Azure, GCP) and CI/CD practices.
  • Solid experience with both SQL and NoSQL databases, including schema design and query optimization.
  • Proven ability to lead the development of AI assistant tools and integrate advanced generative AI methods.

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