Senior AI Engineer - Wholesale Credit Risk Analytics
Citi (company site, opens in a new tab)10+ yrsPuneOn-siteDirect career pageEst. 35–65 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead the design, development, and deployment of an agentic AI platform that enhances credit risk model development using LLMs and intelligent workflows.
- Collaborate with quantitative analysts, Model Risk Management, and business leaders to identify and prioritize high-impact use cases aligned with strategic goals.
- Manage and mentor a software engineering team, ensuring technical excellence, agile delivery, and integration with data sources and LLMs within compliance frameworks.
Minimum Requirements
- 10+ years of hands-on software engineering experience building scalable, complex systems.
- Proven experience leading and mentoring software development teams with architectural and project oversight.
- Deep proficiency in Python and modern AI frameworks (e.g., LangChain), plus practical experience developing with Large Language Models including prompt engineering and RAG.
- Work Experience Required: 10+ years software engineering experience.
Ideal Candidate Profile
- Experienced in agentic AI solutions for data analysis, documentation, and workflow orchestration, with a strong focus on generative AI applications.
- Skilled in system architecture including microservices, REST APIs, and event-driven designs within regulated financial environments.
- Ability to effectively interface with quantitative finance or risk domain experts, translating business needs into compliant, auditable AI software solutions.