Python Engineering AI Lead-Assistant Vice president

Overview

Principal Engineer AI Lead for Citi’s Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform.

What you’ll do

• Design, develop, and maintain scalable enterprise-grade AI agents and support ELT/ETL for large data volumes.
• Build and deploy GEN AI agents using Google ADK and Google Flash 2.5+ LLMs with human-in-loop workflow support.
• Build and maintain data federation layers for Lambda and Data Mesh architectures (e.g., with Starburst).
• Develop, deploy, and automate microservice integrations using cloud-native infrastructure and OpenShift/Kubernetes with CI/CD.
• Integrate agentic AI tools (e.g., Devin.AI, GitHub Copilot) and platforms (e.g., MCP) via advanced prompt engineering.
• Ensure data quality, integrity, and security across the data lifecycle and contribute to process improvements.

What you’ll need

• 8+ years of overall experience in large-scale application development for secure/scalable deployment of AI agents.
• 5+ years of Python and PySpark engineering lead experience building enterprise-grade, high-volume ELT/ETL.
• Hands-on agentic AI development using YAML/JSON/FAST API or Spring Boot plus Google ADK and LLM integrations.
• Experience integrating and automating microservice integrations for data-intensive applications.
• Proficiency in Python or Scala and strong SQL with relational databases.
• Deep understanding of data modeling, data warehousing, Data Mesh architecture, and data federation.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Details

• Location: Chennai, Tamil Nadu, India.