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Tier-1 brand, mid-senior AI role, metro location and broad required skills increase competition.
Requires specialized Gen-AI, prompt engineering and collections domain knowledge, limiting cross-industry transferability.
Explicit 8–12 years plus mandatory Gen-AI, model governance and infra skills make screening highly selective.
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Lead design, development, and implementation of AI-driven applications focused on Collections, Delinquency Management, and Loss Prevention in Credit Cards and Unsecured Loans.
Drive complex system analysis, coding standards, and programming activities to support new product deployments and process improvements while aligning with architecture and governance requirements.
Provide technical leadership to teams, including coaching mid-level developers and managing application systems integration involving Gen-AI technologies like Conversational AI.
8-12 years of experience in application development or systems analysis, specifically with Delinquency Management and Loss Prevention in Credit Cards and Unsecured Loans.
Advanced programming skills in Python; advanced database skills including Oracle, MongoDB, and graph databases.
Strong experience with Gen-AI development and implementation, especially Conversational AI, with expert prompt engineering skills and knowledge of Ground Truth and Model Governance.
Experience with deploying and operating containerized services using Docker and Kubernetes in production environments; Bachelor's degree or equivalent experience.
Subject Matter Expert in applications development within credit risk or collections domains, with experience in complex system environments involving AI.
Experienced in leading technical teams and managing projects that include AI-assisted development tools and model governance discussions with risk partners.
Capable of quickly adjusting priorities in a dynamic environment while maintaining engineering rigor and compliance with regulatory and firm risk policies.