Sr. AI Risk Manager , Res-Q

● Design, build, and deploy AI-powered risk assessment and classification pipelines that automatically categorize incoming escalations against governed root cause taxonomies, enabling systematic defect identification and trend detection across the full escalation portfolio ● Mine risk signals from unstructured escalation data to surface emerging abuse patterns, systemic enforcement gaps, and high-impact defect clusters that inform prevention strategies and program priorities ● Support the development of machine learning models using Amazon Bedrock, SageMaker, and supporting infrastructure to automate root cause classification, risk scoring, and escalation triage ● Study investigation processes and escalation workflows to identify where AI-driven automation, augmentation, or new data collection mechanisms can replace manual effort, improve consistency, or generate new risk insights ● Develop analytical frameworks and visualization layers that translate model outputs into actionable risk intelligence for Risk Managers, program teams, and senior leadership ● Define, instrument, and monitor model performance metrics alongside operational metrics to measure classification accuracy, automation coverage, defect reduction, and the business impact of AI-driven risk insi BASIC QUALIFICATIONS - 5+ years of operations, risk, fraud investigations industry experience - Proficiency with SQL and Python for data analysis, modeling, or automation PREFERRED QUALIFICATIONS - Experience developing operational processes and technologies - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience in machine learning, data mining, information retrieval, statistics or natural language processing - Experience building or deploying machine learning models, classification systems, or topic modeling pipelines in an operational or risk management context - Hands-on experience wit

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.