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 |
|---|---|---|
| (USA) Senior, Data Scientist Senior Data Scientist role focused on developing and deploying scalable data-driven solutions for Walmart U.S. stores and eCommerce. The role involves leveraging advanced analytical techniques, including time series forecasting with global models, generative AI for data synthesis and NLP assistants, and training large-scale neural networks for various applications. The position requires building production-ready applications on cloud platforms and collaborating with cross-functional teams to influence decision-making. | Data | 8 |
| 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 |
| Director, Data Science- Forecasting Director of Data Science leading a team focused on ML initiatives for forecasting and generative AI within Walmart's global retail platforms. The role involves people leadership, operational optimization, and driving AI innovation in forecasting, with a focus on the end-to-end data science lifecycle and ethical AI practices. | DataAgent | 7 |
| Senior, Software Engineer Senior Software Engineer role within Walmart's FinTech organization, focusing on designing and building AI-driven data solutions and data pipelines. The role involves Big Data and AI engineering expertise, with a specific mention of LLM agent development and prompt engineering. | DataAgent | 7 |
| Director, Advanced Analytics This role leads the development and implementation of data models and production-ready complex algorithms for advanced analytics projects within a specific business area. It involves directing the testing and validation methodology, collaborating with cross-functional teams, and presenting solutions to stakeholders. The role also focuses on defining data analysis strategies based on business priorities and providing consulting expertise to senior leadership. | Data | 7 |