Walmart
Retail · Retail
- HQ
- Bentonville, US
- Founded
- 1969
- Size
- 2,330,000+
- Website
- walmart.com
Currently tracking 207 active AI roles, up 544% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $90k–$481k (avg $186k).
Retail · Retail
| Title | Stage | AI score |
|---|---|---|
| (USA) Distinguished, Software Engineer Distinguished Engineer for the Colony Platform in AI & Data, responsible for shaping the long-term technical vision, architecture, and engineering excellence of enterprise-scale AI/ML systems and platforms. Focuses on driving technical strategy, architecting for scale, mentoring technical leaders, and embedding responsible AI foundations. The role involves leading architecture reviews for GenAI integrations, model serving, and intelligent pipelines, influencing AI/ML lifecycle practices, and shaping patterns for safe AI adoption. Requires deep experience in AI/ML systems productionization, model serving, orchestration, performance, and observability. | ServeAgent | 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) 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 |
| 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 Manager, Software Engineering - AI/ML Tools This role leads platform engineering for AI/ML tools and systems at Walmart, focusing on shared infrastructure, ML frameworks, and the full software development lifecycle. The Senior Manager will oversee the design and delivery of AI-integrated software systems, collaborate on building AI/ML-enabled features and agentic AI systems, and mentor engineering teams. The role emphasizes technical execution, operational delivery, and strategic alignment within an enterprise AI context. | ServeAgent | 7 |
| (USA) Principal, Software Engineer, Information Security Principal Software Engineer on the AI Security team responsible for shaping how AI systems are built, secured, and scaled. This role involves reviewing AI security standards, assessing internal AI projects, and applying security expertise to improve the company's security posture. The engineer will collaborate with other teams to implement secure patterns in MLOps and CI/CD workflows, build reference implementations, and mentor others on secure engineering and AI safety. | Serve | 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 Staff Software Engineer (Machine Learning Engineering) at Walmart, focused on designing and building large-scale, production-grade ML systems for Driver Search and Matching. This role involves end-to-end ML system architecture, model serving, real-time decisioning, scalability, reliability, and observability, with a focus on millions of real-time requests per second. | ServeAgent | 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 |