GenAI Applications Development Lead

Citibank (Switzerland) AG; Irving (TX); Hybrid; Confidential; Full time

Job summary

Citibank, N.A. in Irving, Texas seeks an Applications Development Senior Manager to lead GenAI-driven initiatives. The role combines advanced AI engineering, data architecture, and enterprise IT governance to deliver scalable GenAI solutions for banking applications.

The candidate will design AI models, manage MRM documentation, and oversee end-to-end delivery from scoping to production. Hybrid work within commutable distance is possible.

Qualifications

• Requires a Master’s degree, or foreign equivalent, in Computer Science, Computer Engineering, Data Analytics Engineering or related field and 4 years of experience in related positions or a Bachelor’s with 6 years’ experience.
• Experience in Data Architecture, Pipeline Engineering, and Infrastructure Operations; Analytics Visualization and Communication; Model Risk Management and Compliance; Project Management for enterprise IT; NLP; REST APIs; Python; SQL; distributed computing and cloud services.
• Proficiency with PyTorch/TensorFlow distributed computing is expected.

Responsibilities

• Design and implement GenAI strategies and solution architectures across the software stack.
• Build scalable data pipelines using Spark, Iceberg, and vector databases for GenAI systems.
• Develop CI/CD pipelines, manage Kubernetes deployments, and implement monitoring and security for AI workflows.

Skills

Data Architecture

Pipeline Engineering

Infrastructure Operations

NLP

SQL

Python

REST APIs

Education

Master's degree in Computer Science, Computer Engineering, Data Analytics Engineering or related field

Job description

Citibank, N.A. in Irving, Texas seeks an Applications Development Senior Manager to lead GenAI-driven initiatives. The role combines advanced AI engineering, data architecture, and enterprise IT governance to deliver scalable GenAI solutions for banking applications.

The candidate will design AI models, manage MRM documentation, and oversee end-to-end delivery from scoping to production. Hybrid work within commutable distance is possible.