Senior Python Engineer - AI-Driven Data Platforms

Citigroup Inc.; Rutherford (NJ); On-site; USD 121,200 - 181,800; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k)

Paid time off

Job summary

Citigroup Inc. is seeking a Principal Engineer for its Retail and Wealth Risk Engineering team. This role emphasizes data pipeline design and AI technology deployment, requiring extensive experience in Python and PySpark as well as cloud platforms. The successful candidate will drive business engagement by enhancing data and analytics capabilities, ensuring high-quality and scalable solutions.

Competitive employee benefits are part of the comprehensive compensation package. Potential candidates should possess strong problem-solving skills and a robust academic background.

Qualifications

• 8+ years of experience in application development with scalable AI agent deployment.
• 5+ years of experience in a Python and PySpark Engineering lead role.
• Hands-on experience with AI development, YAML, JSON, and integration prompts.

Responsibilities

• Design, develop, and maintain scalable AI agents for ELT/ETL processes.
• Build GEN AI Agents for application automation and insights.
• Develop microservice integrations using cloud-native infrastructure.

Skills

Python

PySpark

AI technologies

Data Analytics

SQL

Cloud technologies

Microservices

Data modeling

Problem-solving

Education

Bachelor’s degree in Computer Science

Master’s degree (preferred)

Tools

Databricks

Kubernetes

Docker

Google Cloud Platform

AWS

Job description

Citigroup Inc. is seeking a Principal Engineer for its Retail and Wealth Risk Engineering team. This role emphasizes data pipeline design and AI technology deployment, requiring extensive experience in Python and PySpark as well as cloud platforms. The successful candidate will drive business engagement by enhancing data and analytics capabilities, ensuring high-quality and scalable solutions.

Competitive employee benefits are part of the comprehensive compensation package. Potential candidates should possess strong problem-solving skills and a robust academic background.