Walmart has 320 active AI-related job listings. The majority of these roles, 61%, are focused on agents, with application roles making up another 18%. Engineering is the dominant function, with 301 positions. The company is primarily hiring in the United States, followed by India. Frequent tech tags include agent orchestration, model serving, and RAG, suggesting a focus on developing and deploying AI agents.
Currently tracking 176 active AI roles, up 335% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $90k–$481k (avg $187k).
Walmart currently has 313 active AI-related roles in our index. The most common open titles are: Senior, Software Engineer (16), Staff, Software Engineer (16), (USA) Senior, Software Engineer (15), Senior, Data Scientist (13), Staff, Data Scientist (12). Most positions are in Engineering and Product.
Walmart's active AI hiring is concentrated in: agents (60%), application (20%), serving infrastructure (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Walmart is hiring AI talent in: United States (241 roles), India (41 roles), Canada (3 roles).
Job postings at Walmart most frequently reference: agent orchestration, model serving, llm observability, rag, recommender systems.
In the past 30 days, Walmart has posted 86 new AI-related roles. That is a -55% change versus the prior 30 days (192 → 86).
| Title | Stage | AI score |
|---|---|---|
| Senior, Data Scientist Senior Data Scientist role focused on developing and deploying machine learning models for forecasting, predictive modeling, and optimization within Walmart's Decision Sciences team. Responsibilities include data engineering, feature engineering, experimentation, MLOps, and collaboration with cross-functional teams. The role emphasizes applying advanced analytics to solve complex business problems and drive data-driven decisions across various business units like Supply Chain and Store Operations. | Post-train | 7 |
| Data Scientist III Data Scientist III at Walmart focused on developing and deploying analytical models. Responsibilities include data analysis, statistical modeling, machine learning techniques, and model evaluation. Requires expertise in Python, SQL, cloud platforms (GCP, Hive), Git, and visualization tools (Tableau, Looker). The role involves driving predictive modeling and training statistical models for future use. |
| Post-train |
| 7 |
| Senior Manager, Advanced Analytics Senior Manager, Advanced Analytics at Walmart responsible for developing and implementing data models and machine learning solutions to drive business results. This role involves managing the end-to-end lifecycle of data science products, from ideation to production, and collaborating with cross-functional teams. The position requires experience with various machine learning models, data mining, and cloud platforms. | Ship | 7 |
| (USA) Principal, Software Engineer Principal Software Engineer at Walmart focused on Display Ads optimization, including budgeting, pacing, bidding, and auction. The role involves designing, developing, and improving core services and algorithms, collaborating with Data Science and Product teams, and building scalable, high-performance services with high observability. Experience with feedback control or reinforcement learning algorithms is required. | Agent | 7 |
| Group Director, Product Management - Last Mile Optimization & AI Group Director of Product Management for Last Mile Optimization & AI at Walmart, focusing on the intelligence layer that powers critical decisions in the delivery ecosystem. The role involves setting vision and strategy for AI across pricing, matching, batching, and routing, building and scaling horizontal AI platforms, and operating/evolving a live, large-scale system. Requires strong product leadership, marketplace and optimization expertise, and partnership with data science on optimization models and ML systems. | Agent | 7 |
| Senior Manager, Advanced Analytics This role focuses on developing and implementing advanced analytics and data models to solve complex business problems. It involves leading a team, managing projects end-to-end, and collaborating with cross-functional partners to drive business results through data-driven decision-making and prototype development. | Data | 7 |
| (USA) Principal, Data Scientist The Principal Data Scientist will architect and lead the design of Walmart's Retail Digital Twin ecosystem, focusing on integrating simulation engines, 3D frameworks, and agentic AI. This role involves building production-grade, scalable applications, defining the orchestration layer for agentic workflows, and driving software engineering excellence for a high-fidelity, scalable platform. | Agent | 7 |
| Distinguished, Software Engineer, Growth Tech This role focuses on leading an engineering team to redesign SDLC practices for agentic coding, integrating AI coding agents into workflows, and building scalable, reliable, and secure systems. The primary deliverable is the platform and practices for agentic development. | Agent | 7 |
| (USA) Senior, Data Scientist Senior Data Scientist role focused on building production-grade intelligent systems using agentic coding tools and frameworks. The role involves designing, prototyping, implementing, testing, evaluating, deploying, and improving software solutions that solve business and technical problems, with an emphasis on multi-agent workflows, evaluation frameworks, and AI-native application development. | Agent | 7 |
| Principal, Software Engineer - Backend Principal Software Engineer to lead design and delivery of scalable platform capabilities and AI-enhanced applications for Walmart Connect's Sponsored Search team. Focus on cloud-native architecture, distributed systems, and full SDLC management, mentoring teams and translating business needs into innovative solutions. The role involves architecting and implementing AI-enhanced applications and intelligent systems, leveraging retail data and ML to optimize ad placements. | Agent | 7 |
| Senior Manager, Advanced Analytics Senior Manager, Advanced Analytics role focused on shaping Walmart Fulfillment Services (WFS) Seller Success strategy through data-driven decision-making, predictive modeling, and strategic business insights. The role involves building scalable analytics frameworks, developing models and algorithms, and identifying insights to improve seller satisfaction, business outcomes, and reduce attrition. It requires partnering with data science teams and implementing predictive models. The role also involves constructing seller satisfaction scores and establishing performance monitoring systems. | ShipData | 7 |
| (USA) Staff, Data Scientist Staff Data Scientist to lead the scientific design and end-to-end execution of high-frequency pricing systems using Causal Inference, Reinforcement Learning, and Elasticity Modeling. The role involves designing and deploying prescriptive ML models, performing elasticity analysis, owning the E2E Price Recommendation lifecycle, developing advanced pricing and optimization solutions, building explainable pricing systems, applying graph-based modeling, establishing evaluation and monitoring, and driving best practices in AgentOps. | AgentData | 7 |
| Senior, Software Engineer Senior Software Engineer on the Search PTE-DevOps team at Walmart, focusing on supporting systems and services for high availability and reliability. The role involves embracing AI-augmented workflows, supporting AI model deployments, and working with GenAI and LLMOps pipelines. Key responsibilities include building and operating tools for developing, scaling, and monitoring technology, triaging technical issues, and ensuring five 9's reliability at the intersection of AI and platform engineering. The engineer will manage QE & Release Automation frameworks, Kubernetes-based containerization (including GPU workloads), investigate incidents, build monitoring for applications and AI model performance, maintain CI/CD and MLOps pipelines, integrate AI coding assistants, design AI-powered observability, and collaborate with AI/ML teams on LLM-based features, prompt pipelines, and vector search infrastructure. The role also involves driving projects, analyzing/building frameworks with AI tools, providing architectural guidance, and performing quality assurance for AI-powered features and inference pipelines. | ServeAgent | 7 |
| Staff, Data Scientist Staff Data Scientist at Walmart focused on developing and deploying advanced analytical models (ML, statistical, simulation, optimization, causal inference) to solve complex business problems in areas like Supply Chain and Store Operations. The role involves MLOps for production deployment and collaboration with various teams. Requires 5+ years of experience, strong coding skills (Python, Spark, etc.), SQL, cloud platforms (GCP, Azure), and experience mentoring junior scientists. | Agent | 7 |
| Principal, Software Engineer Principal Software Engineer to architect and build the web interface for Wibey, Walmart's intelligent orchestration platform for software development and operations. The role focuses on creating agentic solutions to automate developer workflows, integrating LLM/GenAI capabilities, and enhancing developer productivity at enterprise scale. | Agent | 7 |
| (USA) Senior, Data Engineer - Full Stack Senior Data Engineer role focused on building scalable data solutions to support AI/ML initiatives, specifically for agentic AI systems and LLM-based applications within Sam's Club. The role involves designing data pipelines, ensuring data discoverability and trustworthiness, and contributing to a data-first, agent-aware architecture. Emphasis on data modeling, data governance for agents, and enabling seamless integration between data and downstream AI agents for autonomous decision-making and recommendations. | AgentData | 7 |
| Staff, Data Scientist 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. | Agent | 7 |
| (USA) Senior Manager - AI & Self-Healing Engine (Last Mile Delivery) 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. | Agent | 7 |
| Senior, Data Scientist - Membership Insights (Contact Center) Senior Data Scientist role focused on developing and deploying AI/ML models for membership insights within the contact center at Sam's Club. The role involves data analysis, model training, validation, and deployment, with a focus on optimizing chatbot performance and providing actionable insights through data visualization. The position also includes mentoring junior team members and contributing to data strategy. | Post-train | 7 |
| Staff, Data Scientist - Health & Wellness - Consumer Health & Data Solutions 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. | AgentShip | 7 |
| Senior, Data Scientist 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. | AgentData | 7 |
| Senior, Data Scientist (Personalization) Senior Data Scientist role focused on developing and deploying state-of-the-art Machine Learning, Personalization, and Recommendation systems for Walmart's e-commerce platform. The role involves designing, implementing, and iterating on ML models, including deep learning and generative AI techniques, with a strong emphasis on scalability and end-to-end model architecture for e-commerce applications. | Ship | 7 |
| Staff, Software Engineer 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. | Agent | 7 |
| (USA) Principal, Software Engineer - Fraud and Risk Platform 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. | Agent | 7 |
| (USA) Senior, Software Engineer Senior Software Engineer role focused on building platforms, Machine Learning models, and AI Agents within Walmart's Finance Technology department. The role involves processing large quantities of data, developing ML models for observability and alerting, and orchestrating systems for end-to-end visibility. Experience with traditional software engineering practices is required, with a plus for Big Data, analytics, and ML model deployment. | Post-trainAgent | 7 |
| Senior Software Engineer, Information Security 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. | Agent | 7 |
| Principal, Data Scientist, Experimentation Sciences This role defines and executes the data science roadmap for Walmart's experimentation platform, focusing on AI evaluation, LLM evals, and measurement systems. It involves hands-on technical leadership in statistical frameworks, data pipelines, and establishing AI-native experimentation strategies. | Eval Gate | 7 |
| (USA) Senior Manager, Data Science Senior Manager, Data Science at Walmart, leading a team to develop and deploy decision strategies for fraud and performance risk mitigation on the e-commerce marketplace. The role involves applying advanced data science, machine learning, and AI techniques, collaborating with cross-functional teams, and mentoring junior data scientists. Focus is on building and optimizing scalable risk management models. | Ship | 7 |
| Senior, Data Scientist Senior Data Scientist at Walmart focused on building and deploying machine learning and GenAI models for customer intelligence and segmentation. The role involves developing causal inference studies, statistical methodologies, and econometrics to analyze actions and behaviors. Responsibilities include data gathering, validation, synthesis into large datasets, and utilizing big data analytics to identify trends. The candidate will build and train statistical models and ML algorithms, develop custom models for business solutions, and scale them to large datasets. Experience with deep learning frameworks (Tensorflow, Pytorch) and cloud platforms (GCP, AWS, Azure) is required, along with proficiency in Python and Java. | Post-train | 7 |
| Senior, Data Scientist 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. | Agent | 7 |
| Staff, Data Scientist 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. | Agent | 7 |
| (USA) Principal, Software Engineer 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. | AgentServe | 7 |
| Staff, Data Scientist 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. | Agent | 7 |
| (USA) Staff, Application Security Engineer - AI Focus 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. | AgentPost-train | 7 |
| Senior, Data Scientist Senior Data Scientist at Walmart on the Content Intelligence team, specializing in personalization through AI/ML models. Focuses on developing, validating, and deploying scalable data models using advanced analytical techniques and machine learning, with applications in recommendation systems and NLP to enhance customer engagement. | Post-train | 7 |
| (USA) Principal, Software Engineer 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. | Agent | 7 |
| Senior, Data Scientist 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. | AgentServe | 7 |
| Director, Data Science - Earnings Innovation & Automation Lead the transformation of earnings through advanced data science, automation, and innovation. As Director, you’ll drive high-impact analytical solutions, shape data strategy, and scale machine learning capabilities across the business. This role offers a unique opportunity to influence enterprise decisions, deliver measurable ROI, and build cutting-edge data products that power the future of retail. | Ship | 7 |
| Senior Manager, Advanced Analytics 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. | AgentData | 7 |
| Senior, Data Scientist Senior Data Scientist role focused on advancing demand forecasting and machine learning solutions within Walmart's OneDemand Forecasting organization. The role involves designing and improving models for large-scale forecasting systems, collaborating with cross-functional teams, and applying advanced statistical and ML techniques to enhance accuracy, scalability, and explainability. Responsibilities include building and improving forecasting models, experimenting with ML/statistical techniques, collaborating with engineering on pipelines and deployment, prototyping new methods, integrating data sources, monitoring/evaluating models, and participating in responsible AI practices. | Post-train | 7 |
| R-2403693 (USA) Senior Manager - Agentic Workflow Architecture and Simulation 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. | Agent | 7 |
| (USA) Senior, Data Scientist Senior Data Scientist role at Walmart focused on leveraging advanced analytical and modeling techniques to extract insights from complex data sets, supporting strategic business decisions. The role involves data sourcing, quality assessment, model development, deployment, and validation, with a focus on generative AI, agentic intelligence, and machine learning to enhance retail experiences and operations. | Post-train | 7 |
| (USA) Senior, Data Scientist 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. | Agent | 7 |
| (USA) Principal, Data Scientist Principal Data Scientist at Walmart focused on developing and deploying advanced analytical models using Double Machine Learning and Causal Modeling. The role involves generating data-driven insights, collaborating across functions, mentoring team members, and ensuring the quality and impact of data insights. The team focuses on scalable, data-driven solutions for Ad-tech, including autonomous AI agents and reliable applications. | Post-train | 7 |
| (USA) Principal, Software Engineer 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. | AgentServe | 7 |
| (USA) Principal, Software Engineer 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. | Agent | 7 |
| Director, Software Engineering 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. | Agent | 7 |
| Senior Manager, Data Analytics - Advanced Analytics - Multi Touch Attribution 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. | AgentData | 7 |
| Staff, Data Scientist - ML-Driven Audience Targeting & Experimentation Staff Data Scientist at Walmart (Sam's Club) focused on ML-driven audience targeting and experimentation for onsite media. The role involves designing, building, and deploying ML models (propensity, LTV) for advertiser outcomes, owning technical partnerships, scaling models from POC to production, designing and analyzing A/B tests, and automating insights using GenAI for executive storytelling. Requires experience in ML model development, experimentation, operationalizing analytics, and GenAI tools, with a preference for retail media or AdTech experience and GCP tooling. | ShipData | 7 |
| (USA) Director, Data Science- Testing and Measurements Lead the development and deployment of advanced data science solutions, leveraging machine learning and automation to address complex business challenges. Translate business requirements into data strategies and analytical models that drive measurable business impact and align with organizational goals. Oversee code development, testing, and validation to ensure robust, scalable, and maintainable data products. Guide data source identification, quality assessment, and integration to support accurate and actionable insights. Mentor and develop data science teams, fostering technical excellence and continuous learning. Collaborate cross-functionally to communicate findings and influence data-driven decision-making. | Ship | 7 |