The Principal Engineer will join the Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This role focuses on designing, building, and maintaining scalable data pipelines and AI agents. The ideal candidate will have a strong passion for data and analytics, driving business engagement through innovative data solutions. This position requires a high-impact individual who can leverage advanced technologies to enhance operational efficiency.

• 8+ years of overall experience in large-scale application development with a focus on AI agents.
• Minimum of 5+ years of experience in a Python and PySpark Engineering lead role.
• Hands-on experience with agentic AI development using YAML, JSON, FAST API, or Spring Boot.
• Proven experience developing and automating microservice integrations for data-intensive applications.
• Strong SQL skills and experience with various relational databases.
• Deep understanding of data modeling, data warehousing concepts, and Data Mesh architecture.

• Design, develop, and maintain scalable, enterprise-grade AI agents.
• Build and deploy GEN AI Agents using Google's ADK and Google Flash 2.5+ LLMs.
• Build and maintain data federation layers for lambda and Data Mesh architectures.
• Develop, deploy, and automate microservice integrations to support data-intensive applications.
• Integrate and leverage agentic AI tools and platforms through advanced prompt engineering.
• Ensure data quality, integrity, and security throughout the data lifecycle.

• Citi offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.