Currently tracking 176 active AI roles, up 335% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $90k–$481k (avg $187k).
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.
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 |
|---|---|---|
| Staff, Data Scientist Staff Data Scientist to design, build, deploy, scale, and monitor ML systems for Walmart's Rest of Market (ROM) analytics. This role will own embedding-based classification, GMV projection, and causal impact models, establishing MLOps foundations and ensuring end-to-end ML lifecycle management on Databricks (GCP). | Post-trainServe | 8 |
| Distinguished, Data Scientist Distinguished Data Scientist role focused on developing and deploying cutting-edge AI solutions within Walmart's Customer Care Technology team. The role involves shaping AI strategies, leading data scientists, and hands-on coding (80%) to build and optimize scalable AI/ML models and systems, with a strong emphasis on generative AI technologies. | Post-train |
| 8 |
| 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 |
| 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, 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 |
| (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, 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 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 |
| 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 |
| (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) 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)Staff, Data Scientist Staff Data Scientist role focused on designing and deploying advanced forecasting models using statistical, ML, and deep learning methods. The role emphasizes explainability (XAI), graph-based modeling, and building agentic workflows for forecasting. Requires strong Python skills, experience with deep learning frameworks, and production-grade ML model delivery. | Post-trainAgent | 7 |