(USA) Principal, Software Engineer - Fraud and Risk Platform

Job Description

Position Summary... What you'll do... As a Principal Engineer in Walmart’s Fraud and Risk platform, you will define and drive the architecture of next-generation fraud and risk prevention systems at massive scale. You will lead the design of platforms that combine real-time decisioning, entity intelligence, agentic AI, and human-in-the-loop workflows. This role requires deep technical leadership, owning architecture across systems and enabling teams to build scalable, intelligent, and explainable fraud prevention platforms. About Team: The Inkiru team's mission is to detect and prevent Fraud in real time and enable a safe shopping experience for all our customers online and in-store. We are a team of passionate Engineers, Data scientists and Product managers who love to challenge each other but work together to build a platform to find the proverbial needle in a haystack. As an engineer on the team, you will help build systems that can process data at the scale of Walmart to derive insights in milliseconds that power lightning-fast detection of fraudsters. You will have the opportunity to work closely with our data scientists, Product Managers, business partners and systems engineers to drive the definition and implementation of platform services, applications and analytics tools for our predictive intelligence platform. What you'll do: Define Architecture for Fraud & Risk Platforms Lead system design for real-time fraud detection and policy enforcement Architect entity resolution and graph intelligence systems Design agentic AI platforms for automated fraud analysis and reasoning Shape case management and orchestration systems for investigations Drive AI-Native System Design Define patterns for integrating ML models and AI agents into production Lead development of explainability frameworks for fraud decisions Enable scalable systems for model deployment, evaluation, and iteration Own Cross-System Strategy Align architecture across Gateway, Platform, and Data Science teams Define integration patterns for real-time and batch systems Ensure systems meet requirements for latency, reliability, and scalability Lead Technical Direction Drive architectural standards, design patterns, and engineering best practices Guide teams through complex technical decisions and tradeoffs Establish long-term technical vision aligned with business goals Mentor & Influence Mentor senior and staff engineers across teams Influence hiring, engineering culture, and technical excellence Act as a thought leader in fraud, risk, and AI-driven systems What you'll bring: Proven track record of architecting and scaling large distributed systems Deep expertise in system design, platform engineering, and microservices architecture Strong experience with real-time decision systems and high-throughput architectures Experience architecting systems that operationalize ML models at scale Strong understanding of ML-driven decisioning systems and tradeoffs (rules vs models) Familiarity w

Required Skills