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
Robust 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.

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