Digital Software Engineer Lead Analyst Vice President

Citi

Quick summary

Work type
On-site
Location
Jacksonville, FL
Posted
45 days ago

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How this pay compares to similar roles

Similar $183k
$134k most similar roles pay here $219k

This listing doesn't post a salary. Most similar roles pay $154,125–$211,200.

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 391 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 361 roles with salary data.

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At a glance

TL;DR · Digital Software Engineer Lead Analyst Vice President

Join our Engineering Excellence and Transformation team as a Senior AI/ML & Agentic AI Engineer, where you will lead the design and development of advanced AI solutions using Python for machine learning workflows and Java for scalable backend services. You’ll architect end-to-end systems, optimize Large Language Models, and deploy them on cloud platforms like AWS or Azure with CI/CD practices. Key responsibilities include fine-tuning LLMs, implementing generative AI methods, and ensuring robust data management strategies while adhering to ethical guidelines. This role demands expertise in Python (Pandas, NumPy), Java (Spring Boot), database technologies, and DevOps tools such as Docker and Kubernetes, alongside a passion for fostering technical excellence and innovation within an enterprise setting.

What you'll do

  • Lead the design and development of AI/ML and Agentic AI solutions using Python and Java.
  • Develop end-to-end AI systems integrating with existing applications on cloud platforms.
  • Fine-tune Large Language Models (LLMs) for robust, production-ready deployment.
  • Implement CI/CD pipelines and orchestration tools for secure, scalable releases.
  • Design efficient data storage strategies using SQL and NoSQL databases.

What we're looking for

  • 6+ years of experience in software engineering and AI/ML development.
  • Expert proficiency in Python for data manipulation and machine learning frameworks.
  • Strong skills in Java for building scalable enterprise applications.
  • Extensive hands-on experience with cloud platforms (AWS, Azure, GCP).
  • Proficient in CI/CD pipelines, containerization, and orchestration tools.
  • Solid experience with both SQL and NoSQL databases for efficient data management.
  • Hands-on experience with Generative AI, Agentic AI principles, and LLMs.

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