Gen AI Validation Engineer, Officer (Hybrid)
Citi (company site, opens in a new tab)4+ yrsBengaluruHybridDirect career pageEst. 18–30 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Perform independent review and challenge of AI/ML non-model objects across their lifecycle to manage risk.
- Ensure compliance with policies, procedures, and testing guidance related to AI/ML non-model validations.
- Engage with stakeholders including AI/ML Sponsors, Model Risk Management Governance, AI Centers of Excellence, Internal Audit, and Regulators on AI/ML risk matters.
Minimum Requirements
- Master’s degree or higher in mathematics, statistics, computer science, engineering, data science, AI/ML, or related fields.
- Minimum 4 years analytics experience in financial services or related industry, including at least 2 years focused on AI, Generative AI, Agentic AI, or Machine Learning.
- Technical expertise in AI/ML techniques relevant to model risk validation.
- Strong communication skills and demonstrated project management capability.
Ideal Candidate Profile
- Experienced in end-to-end AI/ML risk assessment and validation within regulated financial services environments.
- Able to independently manage multiple complex projects and interact effectively with multiple internal and external stakeholders.
- Comfortable working in cross-functional teams focused on policy development, regulatory compliance, and risk mitigation in AI model governance.