AI Engineer – Retail Risk Focus

Position: AI Engineer at Citi – Retail Risk Focus
Join Citi as a Python AI Engineer to enhance Retail Risk Engineering initiatives. This full-time position emphasizes the development and maintenance of scalable AI solutions for data processing.

This intermediate-level role will require your skills in designing AI agents and managing ELT/ETL processes using advanced technologies including PySpark and microservices. You will actively contribute to optimizing data pipelines while ensuring adherence to compliance standards and data quality.

Key Responsibilities:

• Develop scalable AI agents supporting large data ELT processes

• Deploy GEN AI applications using Google Flash LLMs

• Implement Data Mesh architectures for data federation

• Automate integrations for high-volume data applications

• Drive compliance and ensure data security throughout the lifecycle

Requirements:

• 5-8 years in large-scale application development

• 5+ years of Python and PySpark experience

• Proficiency with YAML, JSON, and advanced integrations

• SQL expertise and understanding of data warehousing concepts

• Strong communication and problem-solving abilities

Utilize your deep technical skills to drive innovation at Citi in this impactful role.
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