The Principal Engineer will join the Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This intermediate-level position focuses on designing, building, and maintaining scalable data pipelines and solutions that utilize advanced AI and Big Data technologies. The ideal candidate will be passionate about data and analytics, driving business engagement and growth through innovative data platforms. This role requires a high-impact individual with strong problem-solving skills and a commitment to data quality and security.

• 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.
• Excellent communication, collaboration, and problem-solving skills.

• 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 entire data lifecycle.
• Contribute to the continuous improvement of data engineering processes and best practices.

• 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.