AVP Python AI Engineer - Enterprise Data & ML

Citi; New York (NY); Hybrid; USD 42,000 - 73,000; Full time

Job summary

Citi seeks a Python Engineering AI Lead at AVP level to design and build scalable AI-enabled data pipelines within Retail and Wealth Risk Engineering. You will lead ELT/ETL data workflows, integrate AI agents, and drive data-driven insights across enterprise platforms.

The role emphasizes practical AI deployments, data governance, and collaboration with cross-functional teams to advance Citi's AI capabilities while maintaining risk and regulatory compliance.

Qualifications

• 8+ years of experience in large-scale application development with AI deployment.
• 5+ years leading Python and PySpark engineering for ELT/ETL in Databricks.
• Hands-on AI development with YAML, JSON, FAST API, Google ADK, MCP.
• Experience automating microservice integrations for data-intensive apps.
• Proficient in Python or Scala and strong SQL skills.
• Deep data modeling, warehousing, Data Mesh, and data federation understanding.
• Excellent communication and collaboration skills.
• Experience with cloud big data platforms is preferred.

Responsibilities

• Design, develop, and maintain scalable AI agents supporting ELT/ETL with Python and PySpark.
• Build and deploy GEN AI agents using ADK and LLMs for automation and insights.
• Create data federation layers for lambda and Data Mesh architectures.
• Develop and automate microservice integrations for data-intensive apps.
• Leverage agentic AI tools and platforms via advanced prompt engineering.
• Ensure data quality, integrity, and security across the data lifecycle.
• Contribute to engineering standards and best practices.
• Assess risk and ensure compliance with Citi policies.

Skills

Python

PySpark

SQL

Data modeling

Data warehousing

Docker

Kubernetes

Education

Bachelor’s degree in Computer Science/Engineering

Master’s degree

Tools

Databricks

Google ADK

MCP

FAST API

Kafka

Job description

Citi seeks a Python Engineering AI Lead at AVP level to design and build scalable AI-enabled data pipelines within Retail and Wealth Risk Engineering. You will lead ELT/ETL data workflows, integrate AI agents, and drive data-driven insights across enterprise platforms.

The role emphasizes practical AI deployments, data governance, and collaboration with cross-functional teams to advance Citi's AI capabilities while maintaining risk and regulatory compliance.