Amazon Dev Center India

Investigation Loss Prevention, Risk Family, no business category

Sr.AIRiskManager

₹35–55L ~AI est. Hyderabad, Telangana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Sr. AI Risk Manager at Amazon Dev Center India. Skills: AI risk management, Risk assessment pipelines, Machine learning models, Risk intelligence. Design AI-powered pipelines. Build AI-powered pipelines”

What You'll Achieve.

Prevent abuse at scale; Transform risk prevention; Improve consistency; Generate new risk insights; Deliver best results; Protect customers and sellers

Industry & Context.

Investigation Loss Prevention, Risk Family, no business category
Problems you'll solve

Root cause analysis; Classification drift analysis; False-positive analysis; False-negative analysis

What They're Looking For.

Must Have

5+ years operations experience, 5+ years risk experience, 5+ years fraud investigations experience, Proficiency with SQL, Proficiency with Python

Nice to Have

Experience developing operational processes, Experience developing operational technologies, Experience in written communication, Experience in verbal communication, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing, Experience building ML models, Experience deploying ML models, Experience building classification systems, Experience deploying classification systems, Experience building topic modeling pipelines, Experience deploying topic modeling pipelines, Hands-on experience with Amazon Bedrock, Hands-on experience with Amazon SageMaker, Hands-on experience with Amazon QuickSight

What You'll Do.

Design AI-powered pipelines

Build AI-powered pipelines

Deploy AI-powered pipelines

Categorize incoming escalations

Identify systematic defects

Surface emerging abuse patterns

Identify systemic enforcement gaps

Identify high-impact defect clusters

Automate root cause classification

Automate risk scoring

Automate escalation triage

Study investigation processes

Study escalation workflows

Identify AI-driven automation opportunities

Identify model augmentation opportunities

Identify new data collection needs

Develop analytical frameworks

Develop visualization layers

Translate model outputs

Instrument model performance metrics

Monitor model performance metrics

Monitor operational metrics

Measure classification accuracy

Measure automation coverage

Measure defect reduction

Measure business impact

Integrate model outputs

Surface AI-powered assessments

Conduct analysis on model performance

Conduct analysis on classification drift

Conduct analysis on false-positive trends

Conduct analysis on false-negative trends

Present data-rich risk papers

Track key risk indicators

Track escalation trends

Track model-derived insights

Quantify operational return

How You'll Work.

Team & Collaboration

Partner with engineering; Partner with product; Partner with operations; Partner with science teams; Cross-functional collaboration

Communication Scope

Technical communication; Non-technical communication; Senior leadership communication; Data-rich presentations

Full Job Description

Millions of Selling Partners trust Amazon's marketplace to grow their businesses, and hundreds of millions of customers depend on us every day. Behind that trust is a network of systems, tools, and workflows designed to detect and resolve fraud and abuse at scale — and our team builds them. About the Role: We are looking for a Sr. Risk Manager who builds risk assessment and insight frameworks powered by AI. In this role, you will study incoming escalations not to investigate individual cases, but to understand the risk landscape deeply enough to build the models, classification systems, and analytical tools that transform raw escalation signals into structured, actionable intelligence at scale. You will design and deploy AI-driven risk assessment pipelines that automatically categorize incoming escalations, surface emerging abuse patterns, and quantify systemic defects across hundreds of thousands of annual contacts. You will use Amazon's AI and ML infrastructure to build topic models, root cause classifiers, and risk scoring frameworks that give investigators, program teams, and senior leaders the insights they need to act faster and prevent abuse before it scales. You will study investigation workflows to determine where automation replaces manual effort, where model-driven augmentation improves human judgment, and where new data collection mechanisms are needed to close intelligence gaps. This role offers the opportunity to shape how Amazon protects seller and customer trust by building the AI-powered risk intelligence layer that sits underneath every escalation decision our organization makes. Key job responsibilities ● 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 ab

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