Senior AI/ML Specialist - RAG & LLM Solutions

Citibank (Switzerland) AG; Hinoba-an; On-site; Confidential; Full time

Job summary

Citi's North America Consumer Bank – Data Science and Modeling team seeks a Specialized Analytics Senior Analyst (AVP) to design and deploy cutting-edge AI/ML solutions, leveraging LLMs and Retrieval-Augmented Generation to unlock business value. This role partners with product, risk, and engineering to implement scalable AI-driven strategies.

The ideal candidate has 7–9 years in AI/ML or data science, strong Python/SQL skills, and hands-on experience with LLMs, RAG pipelines, and prompt

Qualifications

• 7-9 years of hands-on AI/ML/data science experience.
• Strong foundation in ML algorithms and practical applications.
• Deep understanding of LLMs and RAG pipelines.
• Expertise in Python and AI/ML libraries.
• Proficiency in SQL for data retrieval/manipulation.
• Excellent communication and cross-functional collaboration skills.

Responsibilities

• Design, develop, and deploy end-to-end LLM solutions with RAG.
• Apply Agentic AI to create autonomous systems solving business problems.
• Utilize ML techniques to generate insights and improve AI-driven solutions.
• Lead prompt engineering and testing frameworks for LLM apps.
• Work with large datasets to prepare data for modeling and LLMs.
• Translate AI/ML findings into actionable insights for stakeholders.
• Assess risk and ensure compliance with laws and Citi policies.

Skills

LLMs

Python

SQL

Prompt engineering

RAG

ML

Data storytelling

Education

Bachelor's degree in Computer Science/Statistics/Engineering/Mathematics

Tools

XGBoost

Gradient Boosting

Clustering

Job description

Citi's North America Consumer Bank – Data Science and Modeling team seeks a Specialized Analytics Senior Analyst (AVP) to design and deploy cutting-edge AI/ML solutions, leveraging LLMs and Retrieval-Augmented Generation to unlock business value. This role partners with product, risk, and engineering to implement scalable AI-driven strategies.

The ideal candidate has 7–9 years in AI/ML or data science, strong Python/SQL skills, and hands-on experience with LLMs, RAG pipelines, and prompt