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

Solid 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.

📌 Principal AI Data Engineer (Winnipeg)
🏢 Citi
📍 Winnipeg