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 (Machine Learning Engineer) Senior Data Scientist (Machine Learning Engineer) on the Trust and Safety team at Walmart, responsible for developing, deploying, and scaling machine learning models in production. The role focuses on building the next generation of a compliance detection platform, driving model serving, pipeline reliability, and the adoption of GenAI solutions. Key responsibilities include designing and deploying production-grade ML systems, applying GenAI/NLP/CV techniques, owning the full model lifecycle, and building/optimizing inference pipelines. | ServePost-train | 8 |
| 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 |
| (USA) Staff, Data Scientist Staff Data Scientist role at Walmart focused on building scalable, end-to-end data science solutions for Walmart Marketplace. Responsibilities include owning the MLOps lifecycle, developing MLOps infrastructure, applying SRE principles to ML workloads, leading code quality, providing architectural guidance, building scalable training and inference pipelines, enhancing data feedback workflows, and deploying end-to-end models. Requires strong knowledge of ML, statistics, Python, big data platforms, Git, and SQL. | ServeData | 7 |
| (USA) Staff, Data Scientist Staff Data Scientist role at Walmart focused on building scalable end-to-end data science solutions for Walmart Marketplace. Responsibilities include owning the MLOps lifecycle, developing scalable MLOps infrastructure, applying SRE principles to ML workloads, leading code quality, providing architectural guidance, building training and inference pipelines, enhancing data feedback workflows, and deploying end-to-end models. Requires strong ML foundations, Python, big data platforms, and SQL. | ServeData | 7 |
| Staff, Software Engineer - Backend / ML Staff Software Engineer focused on backend microservices, data pipelines, and ML-serving infrastructure for large-scale search at Walmart. This role involves technical leadership, architectural design, and hands-on development of high-throughput, low-latency systems, including ML model productionization and MLOps. | ServeData | 7 |
| (USA) Senior Manager, Data Science, Perishable First Mile Senior Manager, Data Science role focused on transforming Walmart's omnichannel supply chain strategy using advanced analytics, AI, and optimization techniques. The role involves managing projects from start to finish, building scalable models, identifying opportunities for improvement, and leading pilot implementations. The team has a strong track record in supply chain innovation and has won prestigious awards. | Serve | 7 |
| Senior Manager, Data Science - Inventory Capabilities Senior Manager, Data Science role focused on optimizing inventory capabilities for Walmart. This involves designing, developing, and scaling algorithms for forecasting, placement, safety stock, and exits. The role applies advanced techniques in optimization, probabilistic forecasting, and machine learning to improve efficiency and resilience across a global network. It requires leading projects from problem framing to deployment and collaborating with various business and tech partners. The goal is to maximize customer value by ensuring the right items are in the right place, at the right time, in the right quantity, at the lowest cost. | ServeData | 7 |
| Staff, Software Engineer Staff Software Engineer at Walmart focused on the International Recommendations platform, driving innovation in Machine Learning for personalization. Responsibilities include designing and productionizing scalable, low-latency ML services, building and optimizing models and data pipelines, creating monitoring dashboards, and performing latency tuning. The role involves collaborating with data scientists and product teams, and contributing to the ML capabilities roadmap. | ServePost-train | 7 |
| (USA) Principal, Data Scientist Principal ML Engineer to architect, build, and operate production-grade ML systems for Walmart's enterprise and e-commerce systems. Focus on intelligent automation, predictive scaling, anomaly detection, and capacity optimization, influencing runtime behavior at massive scale. Requires strong system design, end-to-end ownership, and experience with ML lifecycle management, serving infrastructure, and observability in distributed, high-availability environments. | ServeData | 7 |