Apps Dev Tech Lead Analyst - Vice President

Citi

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Irving, TX
Salary
$125,760–$188,640 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k
This role $157k
$111k $200k
below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $123,750–$187,300 — the blue band above. At the midpoint, this role pays about $157k versus about $156k 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 268 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 251 roles with salary data.

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At a glance

TL;DR · Apps Dev Tech Lead Analyst - Vice President

The Apps Dev Tech Lead Analyst - Vice President is a senior level position within the Technology team responsible for establishing and implementing new application systems and programs. The role involves leading systems analysis and programming activities, defining system enhancements, and providing expertise in application design and coding standards. Key responsibilities include designing, developing, and maintaining scalable Python code for Generative AI applications, integrating APIs like OpenAI and Gemini, and optimizing Retrieval Augmented Generation systems. The candidate will build backend services using FastAPI, Flask, or Django, while managing deployments via OpenShift ECS. Required skills include Python, Git, CI/CD, and experience with relational or NoSQL databases. This role solves complex business process problems by integrating architecture and infrastructure to deliver innovative, high-quality software solutions.

What you'll do

  • Design, develop, and maintain scalable Python code for Generative AI applications.
  • Integrate and leverage GenAI-related APIs such as OpenAI and Gemini to build new features.
  • Implement and optimize Retrieval Augmented Generation (RAG) systems to enhance AI model capabilities.
  • Develop and deploy robust backend services using frameworks like FastAPI, Flask, or Django.
  • Manage application deployment and orchestration using cloud container services like OpenShift ECS.
  • Write comprehensive unit and integration tests to ensure code quality and reliability.
  • Serve as a coach to mid-level developers and analysts while allocating their work.
  • Define system enhancements and coding standards to ensure alignment with the architecture blueprint.

What we're looking for

  • Minimum of 6 years professional software development experience with a strong focus on Python.
  • Proven hands-on experience with Generative AI concepts and technologies.
  • Demonstrable experience working with GenAI-related APIs such as OpenAI or Gemini.
  • Solid understanding and practical experience in implementing Retrieval Augmented Generation (RAG) systems.
  • Expertise in at least one modern Python web framework: FastAPI, Flask, or Django.
  • Strong understanding of software development best practices, including version control (Git), testing, and CI/CD.
  • Experience with relational and/or NoSQL databases.
  • Bachelor’s degree/University degree or equivalent experience; Master’s degree (preferred).

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