Walmart

Staff Data Scientist at Walmart US Decision Sciences, partnering with Store Operations leadership to architect future retail operations. This role involves translating complex data science and operations research methodologies into actionable intelligence, focusing on causal inference, predictive modeling, and metric optimization. The goal is to move from reactive analysis to prescriptive action and build scalable, automated solutions, with a future focus on agentic systems and LLM-enabled workflows.

This role focuses on building AI agent-driven automation for last-mile delivery operations, specifically for issue detection, root cause analysis, and resolution. It involves defining workflows, building orchestration frameworks, and collaborating with engineering to implement these systems. The goal is to turn manual operational problems into intelligent, automated workflows.

Staff Software Engineer role focused on building and deploying AI-driven solutions, including LLM-based applications, Gen AI, and Agentic AI frameworks within Walmart's Marketplace Engineering team. The role involves architecting, designing, and developing scalable, highly available systems with a focus on AI and cloud-native technologies, leveraging Java, Spring Boot, React, and cloud platforms like Azure.

Staff Data Scientist role focused on building ML systems for recommendations, behavioral signals, and nutrition-focused chatbot experiences within Walmart's Consumer Health & Data Solutions team. The role involves leading the design and implementation of predictive models, recommender systems, and customer segmentation, taking work from data sourcing and experimentation through evaluation and production partnership. It emphasizes collaboration with product and data engineering, owning model quality, insights, and measurable impact.

Senior Software Engineer to design and deploy distributed services utilizing LLMs, RAG frameworks, and agentic techniques for the Sam's Club eCommerce platform, focusing on search, ads, and personalization features. Responsibilities include building scalable pipelines, integrating data, developing ML models, and driving AI initiatives.

Software Engineer III role focused on building and integrating GenAI powered agents, workflows, and engineering tools within Walmart's E2E Testing, Data, Environment & Tools organization. The role involves developing backend services, REST APIs, and automation pipelines, with a strong emphasis on AI-driven engineering workflows, RAG, and agentic frameworks. The primary focus is on enhancing developer velocity and engineering efficiency through AI.

This Principal Data Analyst role focuses on building agents for data quality rule generation and explanation, applying advanced analytics and machine learning to identify data irregularities, and translating business requirements into data strategies. The role involves collaboration, mentorship, and driving data quality initiatives within an enterprise AI context.

The Senior Data Scientist will architect the anomaly detection layer, build causal discovery agents to pinpoint root causes, and develop prescriptive recommendation engines for Walmart's Last Mile logistics operations. This role involves leveraging time-series forecasting, Python, SQL, and PySpark for large-scale data operations and defining the roadmap for AI-driven decision automation.

Senior Manager role focused on identifying, testing, and scaling robotics and AI/ML-enabled automation technologies within Walmart's supply chain and distribution network. The role involves assessing emerging technologies, partnering with suppliers, leading pilots, and driving scalable deployment to improve operational efficiency, safety, and accuracy.

Senior Data Scientist role focused on fraud detection for Sam's Club, involving building and implementing ML models, graph-based detection systems (GNNs), and leveraging Generative AI (GenAI) techniques for enhanced detection, investigation automation, and explainability. The role requires experience in production ML systems at scale and collaboration with business and technical stakeholders.

Staff Software Engineer role focused on architecting and building scalable, enterprise-grade solutions using Java, Spring Boot, React, and agentic technologies leveraging LLMs. The role involves building and optimizing intelligent agents, ensuring they are observable, cost-effective, and deliver consistent quality through evaluation pipelines, and owning the operational excellence of the system.

Senior Data Scientist role focused on building and improving labor forecasting capabilities for Walmart using ML/AI and GenAI. The role involves developing new forecasting models, enhancing existing ones, and building a scalable platform for automation across the model lifecycle, including data, evaluation, and deployment. It requires strong technical skills in SQL, Python, ML/AI, and GenAI experience is preferred.

Software Engineer III on the Big Data team within Global Tech Platform (GTP) at Walmart, responsible for designing, building, and operating large-scale data processing and analytics platforms. The role involves end-to-end feature delivery, architecting scalable backend systems, collaborating with cross-functional teams, and driving technical excellence. A key focus is on expertise in Generative AI, LLMs, and Agentic AI, enabling impactful solutions. The role also provides technical assistance to data scientists and software engineers.

This Principal Software Engineer role focuses on defining and driving the architecture of next-generation fraud and risk prevention systems at Walmart. The role involves leading the design of platforms that integrate real-time decisioning, entity intelligence, agentic AI, and human-in-the-loop workflows. The engineer will own cross-system strategy, drive AI-native system design, and mentor other engineers, with a strong emphasis on architecting and scaling large distributed systems that operationalize ML models.

Staff Software Engineer role focused on building and scaling intelligent systems for fraud and risk detection within Walmart's ecosystem. The role involves developing real-time decisioning platforms, entity resolution systems, and integrating AI/ML capabilities, including agentic systems, into production workflows in a high-scale, low-latency environment. Responsibilities include owning the software lifecycle, collaborating across teams, and driving engineering excellence.

Seeking a Principal Software Engineer with GenAI expertise to design and build automations for Operational Excellence (OE) and Engineering Excellence (EE) across Sam's Club applications. The role involves using LLMs, agentic AI architectures (RAG, MCP), and backend technologies to monitor compliance, improve metrics, and replace manual tracking with intelligent workflows. Requires hands-on development, technical leadership, and experience with enterprise-scale systems like Kubernetes.

Senior Software Engineer (AI/ML) to design and implement AI/ML-driven solutions for intelligent observability, real-time monitoring, and autonomous remediation across large-scale systems. The role involves building and optimizing real-time inference APIs, developing data pipelines, automating MLOps, and working with Golang, distributed systems, and cloud-native technologies.

The Group Director, Software Engineering - Customer Care, is responsible for defining and scaling the technology platforms that power Walmart’s customer care services and capabilities. This leader sets the long-term engineering vision and platform strategy for conversational AI platform for customer care, including customer experiences, agent experiences, intelligent routing, knowledge management, customer insights, quality improvements, and process optimizations, all at enterprise scale. This role operates at the intersection of Generative AI, platform engineering, distributed systems, data platforms, and partner integrations.

Staff Software Engineer at Walmart (Sam's Club MAP Engineering) to lead the design, development, and scaling of full-stack Agentic AI platforms and applications. The role involves building LLM-powered solutions including agent workflows, retrieval-based systems, tool integrations, reasoning pipelines, and evaluation frameworks using Python and JavaScript. The position requires strong system design, technical leadership, and experience with AI/ML applications.

Staff Software Engineer to lead the development and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks, for customer care technology. This role involves driving the full software lifecycle, applying cloud-native architecture principles, and building AI-driven applications integrating ML components and generative AI agents.

Senior Software Engineer to design and build secure, resilient services and AI-driven workflows for vulnerability management. Focus on creating secure APIs, architecting backend systems for security control evidence, building integrations, developing telemetry pipelines, and managing agents and MCP servers. Incorporates AI for secure coding and compliance validation.

Principal Software Engineer at Walmart focused on driving the design and architecture of next-generation AdTech products, with a strong emphasis on Generative AI. The role involves building, testing, and deploying AI solutions at scale, acting as a thought leader in GenAI, and potentially developing agentic systems or AI-powered features within the AdTech domain. The position requires deep technical expertise in scalable distributed systems, microservices, cloud-native architectures, and a proven ability to lead AI initiatives.

Staff Data Scientist role focused on developing and deploying advanced agentic and chat-based AI solutions for corporate affairs, leveraging machine learning, data strategy, and visualization to provide actionable business insights and support strategic objectives. Requires expertise in Python, data visualization, data engineering, and model deployment.

Staff Software Engineer to lead the architecture and engineering of Walmart’s enterprise Single Sign-On (SSO) platform within Identity and Access Management (IAM). This role will drive the design of scalable, cloud-native authentication systems leveraging modern Zero Trust principles and advance the next-generation AI-enabled authentication platform using adaptive and agentic security capabilities.

Senior Data Scientist at Walmart focused on building generative AI LLM-based applications, multi-agent workflows, and RAG-based applications to enhance customer intelligence and segmentation. The role involves developing, training, and deploying machine learning and deep learning models using cloud technologies and programming languages like Python and Java.

Staff Data Scientist for Walmart's Sam's Club fraud detection team, focusing on building and deploying scalable ML models, including graph-based systems and Generative AI techniques, to detect and prevent various types of fraud.

Principal Software Engineer for the Colony Platform, an agentic AI framework at Walmart. This role focuses on designing, building, and operating core agent orchestration components and AI-powered services to enable associates to quickly and safely build AI-based solutions. It involves deep expertise in distributed systems, platform engineering, and AI-enabled architectures, with a strong emphasis on prototyping and productionizing GenAI capabilities, implementing security and compliance guardrails, and driving engineering excellence.

Staff Data Scientist to architect and develop new Machine Learning models for Customer Intelligence and Segmentation, focusing on generative AI LLM-based applications and multi-agent workflows.

Senior Software Engineer role focused on building and operating scalable, intelligent data platforms for analytics, automation, and AI-driven decision-making in the Fintech space. The role involves designing high-performance data systems, integrating Generative AI, and developing production-grade agentic systems that handle data at scale and automate complex workflows. Key responsibilities include architecting large-scale data systems, driving system design and execution for autonomous orchestration, leading end-to-end productionization, defining engineering standards for AI and data systems, guiding data and infrastructure decisions on GCP, enabling observability and traceability for agentic interactions, and collaborating with Product and Data Science teams on Gen AI initiatives.

Senior Software Engineer role focused on developing AI agents for compliance and vetting within Walmart's Global Governance Team. The role involves full-stack development, designing and implementing scalable backend services and front-end components using modern technologies, with an emphasis on AI architectures and agentic AI skills.

Staff Application Security Engineer focused on AI, responsible for developing application security strategy for AI-assisted development, establishing architecture patterns for safe use of AI coding assistants, championing AI security controls, authoring secure coding standards for AI-generated code, assessing risks of AI code contributions, orchestrating security tools, and pre-training/fine-tuning enterprise AI coding agents on secure patterns.

Senior Software Engineer role focused on building and operating scalable, intelligent data platforms for analytics, automation, and AI-driven decision-making in the Fintech space. The role involves designing high-performance data systems, integrating Generative AI, and developing production-grade agentic systems that handle data at scale and automate complex workflows.

Senior Software Engineer role focused on building and operating scalable, intelligent data platforms for analytics, automation, and AI-driven decision-making in the Fintech space. The role involves designing high-performance data systems, integrating Generative AI, and developing production-grade agentic systems. Responsibilities include architecting large-scale data systems, driving system design and execution for autonomous workflows, leading end-to-end productionization, defining engineering standards, guiding data and infrastructure decisions on GCP, enabling observability and traceability for AI agents, and collaborating with Product and Data Science teams on Gen AI initiatives.

Principal Software Engineer for the Colony Platform within Walmart's AI & Data organization. This role focuses on building an agentic AI framework to enable associates to quickly, safely, and cost-effectively develop AI-based solutions. The engineer will serve as a senior technical authority and hands-on architect, shaping system architecture, influencing engineering standards, and driving platform strategy for AI-powered experiences at enterprise scale.

Senior Applied Scientist on the Spark Driver Platform team at Walmart, focusing on enhancing efficiency and profitability through machine learning and data science. The role involves developing and deploying production systems for driver matching, personalization, pricing, and ETA prediction, utilizing deep learning, reinforcement learning, recommendation systems, and causal ML models.

Senior Manager, Data Science role at Walmart focusing on production ML, forecasting, agentic AI, and LLMs. Requires end-to-end ownership of production ML expertise, shipping forecasting models, building/deploying agentic systems or LLM applications, and deploying models to production infrastructure. The role involves deep ML/AI hands-on experience, Python coding, expertise in forecasting techniques, LLM knowledge, and MLOps practices.

Seeking a Principal Software Engineer to architect the next generation of Walmart's Membership Ecosystem, pivoting services towards an Agentic AI-driven future. The role involves technical leadership, strategic orchestration, deep-code mentorship, and driving engineering excellence. Responsibilities include leading the development of Agentic AI-powered applications, integrating AI tools into the SDLC, defining cost-aware architecture, ensuring security and compliance, architecting data orchestration layers, and evolving API layers. The role also emphasizes setting engineering standards, enabling rapid experimentation, and mentoring engineers.

This role focuses on designing and implementing production-ready agentic AI systems and AI-driven automation to improve cloud reliability, scalability, and developer productivity within Walmart's WCNP AI team. The engineer will drive innovation in both platform intelligence and applied AI, building Agentic AI platforms, AI-powered observability, and integrating AI/ML solutions into CI/CD pipelines.

Director of Software Engineering for Site Reliability Engineering, focusing on building AI-powered, self-healing, and autonomous systems for Walmart's infrastructure and platforms. The role involves designing and building resilient agentic platforms, driving the transformation of SRE practices using AI/ML, and ensuring the reliability, scalability, and availability of critical systems. Requires expertise in AI/ML engineering, agentic AI systems, SRE, cloud engineering, observability, and platform engineering.

Senior Manager, Advanced Analytics at Walmart, focusing on optimizing Middle Mile logistics through AI-driven solutions and agentic systems. This role involves leading a team, developing data models and algorithms, managing prototype development, and collaborating with Data Science, Product, and Engineering teams to implement and enhance AI capabilities for operational efficiency.

This role leads the design and delivery of scalable, reliable agentic workflow systems that connect intelligent decision-making with real-world operational actions. The role will architect reusable automation platforms, enable safe testing and simulation, and partner with Global Tech to ensure production-ready, enterprise-grade solutions.

Senior Data Scientist to design, develop, and deploy advanced digital twin solutions for retail processes, integrating simulation modeling (Agent-Based, Discrete-Event, System Dynamics) with ML/AI and agentic AI development. The role focuses on building a scalable digital twin environment replicating retail operations and incorporating reinforcement learning and agentic AI.

Principal Software Engineer on the AI Security team responsible for shaping, securing, and scaling AI systems. This role involves reviewing AI projects, defining security standards, assessing risks, and collaborating with engineering teams to implement secure-by-default patterns in MLOps workflows. The focus is on building and securing agentic systems and Generative AI applications.

Principal Software Engineer leading the design and delivery of scalable platform capabilities, including cloud-native architectures and AI/ML frameworks, to support critical business functions. Focuses on driving the full software development lifecycle across multiple teams, ensuring high availability, reliability, and innovation in distributed systems. Integrates AI/ML-enhanced applications supporting real-time data processing and multi-step reasoning capabilities.

Principal Software Engineer to lead platform engineering efforts, delivering scalable infrastructure, reusable tooling, and AI/ML frameworks. The role involves architecting and integrating intelligent AI-enhanced applications using cloud-native principles and model-driven design, with a focus on developing autonomous AI agents.

Director of Software Engineering leading the execution and delivery of complex software and AI/ML systems, ensuring scalability, reliability, and alignment with strategic objectives. Oversees the full development lifecycle across multiple teams, driving technical excellence through DevOps practices, cloud cost optimization, and system health monitoring. Fosters high-performing teams through mentorship and collaboration, manages cross-functional dependencies, and champions continuous improvement. Integrates innovative technologies and aligns roadmaps with business priorities to ensure impactful solutions supporting growth and operational efficiency within Walmart’s technology ecosystem.

Distinguished Architect for Identity, Authentication & Fraud Prevention at Walmart, defining end-to-end architecture for customer identity, access, and fraud risk. Modernizes identity platforms, fraud decisioning, and ML-driven risk systems for large-scale retail. Partners with security, payments, fraud, and data science teams to translate trust, risk, and loss outcomes into technical designs. Focuses on CIAM, authentication, account security, payment fraud, chargebacks, and ML-driven risk decisioning, ensuring platforms are AI/ML-enabled for real-time decisions. Drives fraud loss reduction, improves reliability and decision quality, and accelerates risk experimentation through APIs and policy frameworks. Influences and mentors engineers and EMs.

Senior Manager role focused on building and scaling ML-powered multi-touch attribution (MTA) and media mix modeling (MMM) solutions for Sam's Club's Member Access Platform (MAP). The role involves designing, delivering, and improving these solutions using modern ML techniques to drive incremental ad revenue and sales performance. It also includes leveraging Generative AI for insight generation and partnering with data engineering for pipeline modernization and automation. The goal is to evolve existing solutions into scalable products and launch new frameworks that influence media investment decisions.

Staff Data Scientist role focused on leveraging data, AI, and advanced analytics to improve member and associate experiences at Sam's Club. The role involves leading analytical initiatives, designing and scaling experiments, developing and deploying Agentic AI solutions, transforming data into insights, and mentoring junior team members. Requires strong technical skills in SQL and Python, experience with experimentation, and working knowledge of Generative and Agentic AI.

Staff Data Scientist role focused on building and scaling Media Mix Models (MMM) and advancing incrementality/causal measurement for Sponsored Ads at Sam's Club. The role involves developing machine learning models for advertiser growth and member experience, owning experimentation strategy, and productizing data science solutions with robust pipelines and AI-driven automation. Requires a Master's degree, 5+ years of experience, and expertise in MMM, causal inference, and ML.