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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Salary context

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 implement CI/CD pipelines on cloud platforms like AWS or Azure. Key responsibilities include driving innovation in agentic AI, ensuring ethical guidelines are followed, and mentoring junior engineers. This role requires expertise in Python (Pandas, NumPy), Java (Spring Boot), database technologies, and DevOps practices such as Docker and Kubernetes, with a focus on enterprise-scale applications and compliance standards.

What you'll do

  • Lead the design and development of advanced AI/ML and Agentic AI solutions.
  • Architect end-to-end AI systems using Python for ML workflows and Java for backend services.
  • Develop autonomous decision-making agentic systems for automation and optimization.
  • Optimize Large Language Models (LLMs) and integrate them into production-ready systems.
  • Own the deployment pipeline, ensuring secure, scalable releases on cloud platforms.

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 Java skills including Spring Boot, Microservices, RESTful APIs.
  • Extensive hands-on experience with cloud platforms (AWS, Azure, GCP).
  • Proficient in CI/CD pipelines, Docker, Kubernetes, and DevOps practices.
  • Solid experience with SQL and NoSQL databases for efficient data management.

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