Walmart
Retail · Retail
- HQ
- Bentonville, US
- Founded
- 1969
- Size
- 2,330,000+
- Website
- walmart.com
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).
Retail · Retail
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 Scientists, Conversational AI Senior Data Scientist role focused on developing and experimenting with deep learning and multimodal generative models for conversational AI within Walmart's Emerging Tech team. The role involves hands-on model development, rapid experimentation, and partnering with engineers to deploy and iterate on models in production, influencing millions of customers. | Post-trainServe | 8 |
| Staff Data Scientists, Conversational AI Staff Data Scientist role focused on building and deploying conversational, agentic, and generative AI systems for Walmart's consumer-facing applications. The role involves end-to-end project ownership, from problem definition to production launch, with a focus on real-world performance, latency, scale, and reliability. Requires hands-on experience with ML/LLM systems, NLP, conversational AI, agentic workflows, and deep learning, as well as experience running scalable production systems. |
| AgentPost-train |
| 8 |
| Expert Data Scientists, Conversational AI This role focuses on building and scaling intelligent agent systems, generative media foundations, and conversational AI evaluation for a consumer-facing retail giant. The primary responsibility is to shape strategy and architecture for these AI systems, influencing technical direction and establishing best practices. The role requires significant experience in deploying advanced ML/AI systems at scale and a proven track record of architectural ownership for LLMs and agentic systems. | AgentEval Gate | 8 |
| (USA) Staff, Software Engineer | MLE Staff Software Engineer/MLE on the Emerging Tech Extended Reality team at Walmart, focusing on Computer Vision, Machine Learning, and Deep Learning for AR/VR experiences. Responsibilities include developing multi-modal GenAI models for content generation and intelligence, scaling data pipelines, establishing model evaluation frameworks, driving production integration of AI applications, and translating research into production-grade solutions. Requires experience with multi-modal LLMs, diffusion models, 3D representation learning, and Python frameworks like PyTorch/TensorFlow. | Post-trainAgent | 8 |
| Staff, Data Scientist The Cortex Team at Walmart is building the next generation of AI conversational platforms, focusing on personal assistants for customers accessible via voice, text, and multi-modal experiences. The role involves improving and evolving NLU services, considering conversational context and multi-modal interactions, and potentially building demos and proof-of-concepts. The position requires extensive experience with NLU/NLP, deep ML models (Transformers, LLMs), and deploying end-to-end Generative AI systems. Experience with classical ML, conversational data analysis, and taking projects from scoping to launch is also necessary. Preferred qualifications include experience with multimodal solutions, agentic systems, LLM serving optimizations, and multi-LoRa. | AgentPost-train | 8 |
| (USA) Staff, Software Engineer - MLE- Agentic AI & AIOps Staff Software Engineer, MLE focused on Agentic AI & AIOps at Walmart. The role involves designing and implementing production-ready agentic AI systems and AI-driven automation for cloud reliability, scalability, and developer productivity. Key responsibilities include building and deploying agentic AI platforms, developing AI-powered observability and autoscaling, and integrating AI/ML into CI/CD pipelines. | AgentServe | 8 |
| (USA) Staff, Data Scientist Staff Data Scientist role focused on building and deploying large-scale GenAI systems, leveraging LLMs and advanced AI/ML technologies to solve complex business problems in retail and e-commerce. The role involves training and inference of large AI models, model optimization, and hands-on experience with RAG and AI agent development. | AgentServe | 8 |
| Distinguished, Software Engineer Distinguished Software Engineer at Walmart responsible for leading the design and development of scalable AI-powered systems and AI agents, integrating internal and external AI/ML components for intelligent automation and user-facing experiences. The role emphasizes full software development lifecycle ownership, DevOps, CI/CD, and fostering a culture of excellence and mentorship. | Agent | 7 |
| (USA) Senior Manager – Agentic AI Solution Lead This role owns end-to-end agentic AI solutions for automated decision-making and recovery workflows in Last-Mile Delivery. The focus is on decision policies, agent orchestration, and business impact, rather than ML model development. The role requires strong ownership of automated systems, managing tradeoffs, and cross-functional leadership. | Agent | 7 |
| Staff, Data Scientist Staff Data Scientist at Walmart focused on designing, building, and deploying advanced ML models for retrieval, relevance, ranking, bidding, and targeting recommendations to enhance customer and advertiser experience and drive business growth. The role involves end-to-end model lifecycle management, including feature engineering, development, experimentation, monitoring, and optimization, with a focus on financial forecasting, explainable AI (XAI), and exploring foundation models. It also includes building agentic workflows for conversational agents and mentoring other data scientists. | ShipData | 7 |
| Staff, Product Manager, Customer Growth Product Manager for an AI-enabled Customer Growth platform at Walmart, focusing on improving customer engagement, retention, and lifetime value. The role involves owning strategy, roadmap, experimentation, and execution for products leveraging behavioral signals, machine learning, and optimization systems. | Ship | 7 |
| Staff, Software Engineer Staff Software Engineer for Walmart's Developer AI tool, Wibey. The role focuses on designing, building, and iterating on the Wibey Core AI orchestration layers, enabling intelligent, context-aware, and personalized developer experiences. This involves implementing complex problems in AI orchestration and context management, connecting multiple AI agents, and maintaining stateful, secure, and relevant contextual understanding. The role also contributes to technical roadmaps, architectural decisions, and mentoring junior engineers. | Agent | 7 |
| Principal, Product Manager, Customer Growth Product Manager to lead AI-driven growth and personalization initiatives across customer engagement ecosystems, owning strategy, roadmap, experimentation, and execution for products leveraging behavioral signals, machine learning, and optimization systems. | Ship | 7 |
| (USA) Senior, Data Scientist - Retail Intelligence Senior Data Scientist role focused on developing generative AI prototypes, intelligent agents, and scalable AI solutions for retail operations. The role involves translating business challenges into technical solutions, establishing best practices for AI development, and collaborating cross-functionally. | Agent | 7 |
| Senior, Data Scientist Senior Data Scientist at Walmart focused on end-to-end development and deployment of ML models for consumer-facing business problems. Responsibilities include data sourcing, model development (statistical modeling, optimization, NLP, recommendation systems, predictive analytics), production-quality coding, model evaluation, and stakeholder communication. The role emphasizes translating business needs into impactful ML solutions and collaborating cross-functionally. | ShipPost-train | 7 |
| (USA) Staff, Software Engineer Staff Software Engineer on the Walmart Advertising technology team, defining and leading the test engineering strategy for AI-powered advertising systems. This includes ML model validation, intelligent audience pipelines, real-time bidding infrastructure, and programmatic data platforms. The role involves architecting test frameworks, embedding quality into AI/ML development lifecycles, and operating as a senior technical leader. | Eval GateAgent | 7 |
| Distinguished, Data Scientist Distinguished Data Scientist to drive AI/ML strategy, design scalable AI/ML solutions for enterprise-scale business challenges, lead advanced analytics initiatives, develop innovative ML systems, and mentor teams. Focus on full ML lifecycle, MLOps, and leading large-scale enterprise AI initiatives. | Ship | 7 |
| Senior, Data Scientist (Pricing) Senior Data Scientist role focused on building and scaling complex, cutting-edge algorithms for pricing optimization and recommendations within Walmart's Applied AI team. The role involves deep learning, reinforcement learning, and operations research, with a focus on delivering impactful, customer-facing products and providing transparency on algorithmic recommendations. Experience with large-scale model deployment and a full project lifecycle is required. | Agent | 7 |
| Principal, Software Engineer This Principal Software Engineer role focuses on leveraging GenAI to build and scale enterprise applications that automate operational workflows, manage projects, and provide intelligent insights. The role involves integrating LLMs and agent-based systems into existing enterprise applications, architecting scalable systems using Kubernetes and microservices, and ensuring the reliability and observability of AI-powered applications. The goal is to reduce manual overhead and improve engineering efficiency through AI-driven automation. | Agent | 7 |
| 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 |
| Principal, Data Engineer Principal Data Engineer responsible for developing and contributing to high-impact Global Marketplace's enterprise data platform deliverables at a global scale. The role operates at the intersection of retail scale, near real-time intelligence, and Agentic AI, translating platform strategy into business impact. Key responsibilities include transforming and evolving Walmart’s core data platform using Agentic AI, developing data platforms that scale to billions of events per day, and creating agent-ready data optimized for LLMs and multi-agent workflows. The role also involves influencing teams, leading modernization of data lakes and pipelines, and mentoring engineers. | DataAgent | 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 |
| Principal, Data Scientist Principal Data Scientist at Walmart to lead AI/ML initiatives for operational decision-making, focusing on designing, prototyping, scaling, and implementing ML/AI solutions. The role involves collaboration with cross-functional teams, improving data science processes, and driving business impact through associate efficiency and strategic alignment. Experience with GenAI, agentic AI, Causal Inference, and MLOps is required. | AgentData | 7 |
| (USA) Principal, Software Engineer Principal Engineer on the Walmart Advertising technology team, defining and leading the test engineering strategy for AI-powered advertising systems. This includes ML model validation, intelligent audience pipelines, real-time bidding infrastructure, and programmatic data platforms. The role involves architecting test frameworks, embedding quality into AI/ML lifecycles, and operating as a senior technical leader. | Eval GateAgent | 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 |
| (USA) Principal, Software Engineer Principal Software Engineer responsible for designing, implementing, and optimizing core machine learning models for Walmart's ad ranking and optimization systems. This role involves feature engineering, model training, online testing, and staying updated on AI/ML trends to improve shopper intent understanding, contextual relevance, and prediction accuracy. The engineer will collaborate with Data Science and Product teams, and mentor other engineers. | Serve | 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 |
| Principal, Software Engineer Principal Software Engineer to lead design and delivery of scalable platform capabilities, driving innovation in cloud-native architectures and AI/ML integration. Focus on ad serving, optimizing model inferencing, and improving real-time shopper-ad relevancy using AI/ML. | ServePost-train | 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 |
| Principal, Data Analyst, Quality (Data Ventures) 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. | Agent | 7 |
| Senior, Data Scientist 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. | Agent | 7 |
| Senior Manager, Automation Engineering 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. | Agent | 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 |