Principal AI Data Engineer

Build scalable AI data pipelines with Python, PySpark, and Databricks as a Principal Engineer supporting Citi’s Enterprise Risk Technology platform.

This intermediate-level Principal Engineer works within Retail and Wealth Risk Engineering. You will design enterprise-grade data solutions, deploy AI agents, and support analytics platforms using FastAPI, Kafka, and microservices. The work includes data federation, cloud-native infrastructure, and human-in-the-loop workflows.

Key Responsibilities:

• Design scalable AI agents and ELT/ETL data pipelines
• Deploy generative AI agents using Google ADK and LLMs
• Build data federation layers for Data Mesh architectures
• Automate microservice integrations with CI/CD pipelines
• Maintain data quality, integrity, and security

Requirements:

• Eight or more years in large-scale application development
• Five or more years leading Python and PySpark engineering
• Experience with Databricks, FastAPI, YAML, JSON, and LLM integrations
• Strong SQL and relational database experience
• Bachelor’s degree in Computer Science, Engineering, or related field

Apply Principal Engineer expertise across Python, PySpark, Databricks, AI agents, and enterprise data engineering at Citi.