GenAI App Lead Architect - Senior Python Expert

Citi

New York (NY)

Hybrid

USD 114,000 - 171,000

Full time

14 days+

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Job summary

Citi is hiring a GenAI App Developer Lead Analyst (Python) at the Vice President level in Tampa, FL. This role focuses on designing, developing, and delivering robust Python-based applications in finance and risk domains.

The candidate should have 9+ years of hands-on Python experience, expertise in FastAPI/SQLAlchemy, and strong API design. Hybrid work, with collaboration across Risk, Quants, and DevOps teams, is expected.

Qualifications

  • 9+ years of hands-on experience in Application Development, primarily with Python.
  • Expert-level Python 3.x proficiency for scalable, high-performance apps.
  • Experience with FastAPI and SQLAlchemy; strong API design and security.
  • Distributed systems design (Microservices, event-driven).
  • Relational and NoSQL databases with advanced SQL concepts.
  • CI/CD tooling (Tekton/Jenkins/GitHub Actions) for automated deployment.
  • Unix-based OS experience.

Responsibilities

  • Lead hands-on implementation and architecture of Python frameworks for scalable apps.
  • Collaborate with Risk, Quants, FO, DevOps, Production Support for delivery.
  • Drive Stress Testing and Regulatory Risk projects in Market Risk domain.
  • Enforce SDLC best practices and code reviews to ensure quality.
  • Own project governance and technical delivery in a global setting.
  • Deliver high-quality solutions independently under tight deadlines.

Skills

Python
REST APIs
Microservices
Agile/Scrum
CI/CD
Distributed Systems
SQL & NoSQL
Problem Solving

Education

Bachelor’s degree or equivalent experience
Master’s degree preferred

Tools

Docker
Kubernetes
FastAPI
SQLAlchemy
Git
Tekton/Jenkins
GitHub Actions
PostgreSQL
Oracle
MongoDB
Redis
PyTest

Job description

Citi is hiring a GenAI App Developer Lead Analyst (Python) at the Vice President level in Tampa, FL. This role focuses on designing, developing, and delivering robust Python-based applications in finance and risk domains.

The candidate should have 9+ years of hands-on Python experience, expertise in FastAPI/SQLAlchemy, and strong API design. Hybrid work, with collaboration across Risk, Quants, and DevOps teams, is expected.

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