Retail · Retail
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: Associate AI Experience Senior Data Scientist role focused on architecting and deploying large-scale AI systems and autonomous AI agents, including conversational assistants and predictive agents with tool-calling. The role involves end-to-end ML system development, from data pipelines to monitoring, with a focus on agentic AI, reinforcement learning, and simulation. It requires technical leadership, mentoring, and delivery of productionized solutions within an enterprise AI context. | AgentServe | 9 |
| Principal Data Scientist: Associate AI experience Principal Data Scientist to provide technical leadership and long-term vision for next-generation AI systems and platforms. This role will drive breakthrough system design and advanced solution development, transforming Walmart at scale. The role combines deep technical expertise (ML, simulation, optimization, agentic AI) with cross-functional influence, mentoring of senior talent, and delivery of high-impact, productionized solutions. The team applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally, building production Agentic systems, deploying autonomous AI agents, and translating complex data into actionable insights. |
| AgentServe |
| 9 |
| Distinguished Data Scientist: Associate AI Experience Distinguished Data Scientist to provide technical leadership and long-term vision for next-generation AI systems and platforms, focusing on building and deploying production ML systems and autonomous AI agents at scale. The role involves architecting large-scale AI systems, including conversational assistants and predictive agents with tool-calling, using frameworks like LangChain and RAG patterns. It also includes deploying NLP pipelines, designing agentic evaluation frameworks, and mentoring senior talent. | AgentServe | 9 |
| (USA) Distinguished, Data Scientist This role focuses on architecting and deploying large-scale AI systems and autonomous AI agents, including conversational assistants and predictive agents with tool-calling. It involves building end-to-end ML systems from data pipelines to serving layers and monitoring, with a strong emphasis on agentic AI, reinforcement learning, and simulation. The role also includes deploying NLP pipelines and establishing best practices for AI system deployment. | AgentServe | 9 |
| Principal, Data Scientist -- Agentic AI Principal Data Scientist to shape the future of Generative AI and Agentic AI at Walmart, architecting and scaling next-generation ML and LLM systems. This role involves building agentic AI systems with capabilities like planning, memory, and tool-use, defining LLMOps best practices, and driving applied research in LLMs and multi-modal AI. Responsibilities include operationalizing RAG pipelines, translating business problems into AI solutions, building end-to-end ML systems, championing MLOps, and providing technical leadership and mentorship. | AgentPost-train | 9 |
| Distinguished, Software Engineer -AI/ML Engineer – Agentic Systems Distinguished AI/ML Engineer to lead the technical development of next-generation agentic AI systems and intelligent automation solutions for Walmart's reliability engineering organization. The role involves architecting and implementing ML platforms and autonomous agents to manage change, performance, monitoring, prediction, and issue resolution across Walmart's technology ecosystem, aiming for self-healing and autonomous systems. | Agent | 9 |
| Principal, Data Scientist This role focuses on building and deploying production ML systems and autonomous AI agents at enterprise scale within Walmart's Associate AI Experiences team. It involves architecting end-to-end ML systems, deploying agents with tool calling and multi-agent orchestration, designing evaluation frameworks, and working with NLP and computer vision pipelines. The role also requires mentoring and presenting insights to leadership. | AgentServe | 9 |
| (USA) Staff, Data Scientist Staff Data Scientist to architect the semantic layer for autonomous commerce, transforming retail data into an agent-consumable environment. Focus on building Knowledge Graphs, Embeddings, and Metadata layers to power AI agent reasoning, tool-calling, RAG, and multi-step planning. | Agent | 9 |
| (USA) Senior, Software Engineer - MLE- Agentic AI & AIOps Senior Software Engineer, MLE - Agentic AI & AIOps at Walmart. This role focuses on designing and implementing production-ready agentic AI systems and AI-driven automation to enhance cloud reliability, scalability, and developer productivity. The engineer will work on building and deploying agentic AI platforms and applications, developing AI-powered observability and autoscaling frameworks, and integrating AI/ML solutions into CI/CD pipelines and monitoring. Requires strong Python skills, experience with LLMs, retrieval frameworks, agent orchestration, Kubernetes/Cloud infra, and observability. | AgentServe | 8 |
| Principal, Data Scientist Principal Data Scientist to lead high-impact initiatives in Decision Science, building scalable, end-to-end Data Science and AI solutions. Focus on improving customer experience, optimizing operations, and driving business impact. Will partner with business, product, and engineering teams, define success metrics, design experiments, develop scalable AI/ML systems, and influence strategic decisions. Key responsibilities include defining the data science roadmap, translating business challenges into analytical frameworks, and driving end-to-end ownership of solutions. Technical focus on developing and deploying production-grade GenAI solutions using LLMs, agent orchestration, prompt engineering, tool integration, and RAG. Requires experience with cloud AI/ML platforms, distributed data processing, MLOps/LLMOps, and working in large-scale enterprise environments. | Agent | 8 |
| Principal, Data Scientist Principal Data Scientist to lead high-impact initiatives in Decision Science, focusing on building scalable, end-to-end AI solutions for customer experience and operational optimization. The role involves partnering with business, product, and engineering teams throughout the solution lifecycle, from problem formulation to deployment and impact measurement. Key responsibilities include defining the data science roadmap, developing production-grade GenAI solutions with LLMs and agent orchestration, and ensuring model quality and operational excellence. Requires expertise in ML, GenAI, RAG, vector databases, agentic workflows, and MLOps/LLMOps. | Agent | 8 |
| Senior Director, Data Science & Ontology Senior Director to define and scale Walmart’s semantic intelligence strategy, integrating data science, ontology, knowledge graphs, ML, and responsible AI. The role involves setting the vision for ontology-driven data products and AI capabilities, leading teams, and partnering with stakeholders to deliver business impact. Key responsibilities include leading strategy, building semantic and AI systems (entity resolution, classification, enrichment, semantic search, recommendations, knowledge graphs, embeddings, LLM workflows, RAG, intelligent discovery), owning data quality and responsible AI, driving business impact, overseeing the data science lifecycle, scaling teams, and championing innovation. | AgentData | 8 |
| Senior Data Scientist Senior Data Scientist role focused on building personalized, high-impact digital experiences for millions of users using ML techniques, particularly in personalization, recommendation systems, and conversational agents. The role involves researching and building advanced algorithms using deep learning, reinforcement learning, Generative AI, and computer vision, and deploying scalable recommender systems. | AgentPost-train | 8 |
| Staff, Data Scientist Staff Data Scientist role focused on applying data science and advanced analytics to optimize risk decision strategies for Walmart's e-commerce Marketplace. The role involves defining modeling strategy, architecting scalable risk detection systems, leading complex initiatives, and driving innovation in AI-powered risk systems, including agentic AI frameworks and Generative AI applications. Responsibilities include end-to-end model lifecycle governance, experimentation, and mentoring. | AgentData | 8 |
| (USA) Staff, Data Scientist Staff 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 complex business and technical problems. Key responsibilities include developing agent evaluation frameworks, multi-agent workflows, and ensuring operational excellence with observability and traceability in AI-driven systems. The team operates at the intersection of software engineering, data, AI systems, and rapid experimentation, emphasizing iteration speed and practical impact. | Agent | 8 |
| (USA) Senior Manager, Data Science (AI Technical Lead) – Next-Gen Customer Engagement & Returns Senior Manager, Data Science (AI Technical Lead) at Walmart, focusing on building autonomous AI systems for customer engagement and returns. The role involves architecting end-to-end algorithmic frameworks using Causal Inference, Deep Learning, and LLMs, leading the transition from insight to action with Causal AI, driving engineering excellence for AI codebases, pioneering ML & GenAI observability, providing strategic technical leadership, and hands-on innovation with Python and PySpark for recommendation engines. | AgentPost-train | 8 |
| Senior, Data Scientist Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team at Walmart Global Tech. Focuses on using GenAI, AI, ML, deep learning, computer vision, and optimization for product catalog accuracy and customer experience. Develops, deploys, and scales ML models for attribute extraction, supporting the attribute extraction platform and catalog data quality solutions. Drives adoption of GenAI-powered solutions to improve catalog coverage and accuracy. Owns the full model lifecycle from experimentation to production monitoring. | AgentServe | 8 |
| (USA) Principal, Software Engineer Principal Engineer to architect and lead the development of intelligent, self-healing systems using LLM-based agents for anomaly detection, reasoning across observability data, and automated remediation. The role focuses on building agentic systems for performance and resiliency at enterprise scale, shipping to production, and integrating with observability and vector database stacks. | Agent | 8 |
| Staff, Data Scientist Staff Data Scientist at Walmart's Sam's Club Applied AI Labs focused on advancing GenAI and Agentic AI for in-club operations. The role involves designing, developing, and deploying AI agents capable of reasoning and task orchestration, leveraging LLMs, prompt engineering, and fine-tuning. The goal is to create scalable, reusable AI solutions that improve operational efficiency and enhance member interactions across the enterprise. | Agent | 8 |
| (USA) Senior Manager, Data Science Senior Manager, Data Science to lead AI efforts in Generative and Agentic AI, managing a team of Data Scientists, ML Engineers, and Software Engineers. The role focuses on bridging research and production delivery for next-generation AI systems at scale, including multi-agent orchestration, RAG, and LLM fine-tuning. | Agent | 8 |
| (USA) Staff, Data Scientist Staff Data Scientist at Walmart to build and deploy large-scale Genai systems, leveraging LLMs and RAG for financial applications. The role involves developing data science systems, summarizing data, and collaborating with stakeholders to productionize solutions. Experience with model optimization, agent frameworks, and cloud platforms is required. | AgentServe | 8 |
| Staff, Software Engineer Staff Software Engineer role focused on leading the design, architecture, and productionization of large-scale machine learning and generative AI systems, including LLM-driven platforms, RAG, agent-based architectures, and multimodal models. The role involves defining and implementing advanced NLP solutions, driving the development of multi-agent systems, establishing best practices for model development and deployment, and championing responsible AI practices. Requires extensive experience building and scaling ML systems in production, strong engineering background, and hands-on experience with LLM ecosystems. | AgentServe | 8 |
| Director, Data Science Director of Data Science for Walmart International's Personalization team, focusing on leading the strategy, development, and scaling of AI-powered personalization systems. This role involves driving innovation in recommendation systems, relevance, and customer experience using LLMs, embeddings, RAG, and agentic AI frameworks, and managing a team of data scientists, researchers, and ML engineers to deliver measurable business outcomes. | AgentServe | 8 |
| Principal, Software Engineer Principal Software Engineer (ML) to lead the design and development of production-grade AI systems, focusing on E2E pipelines, deployable ML systems with continuous learning, and autonomous AI agents. The role involves building ML services, reinforcement learning loops, computer vision solutions, and integrating models into scalable distributed systems. | AgentServe | 8 |
| Staff, Data Scientist Staff Data Scientist role focused on developing, deploying, and scaling AI/ML solutions, particularly involving LLMs, VLMs, RAG, and vector databases, within Walmart's Global Tech International Data Science team. The role involves leading data science projects, building and training models, and influencing business decisions through data-derived insights and advanced analytical techniques. | AgentData | 8 |
| Staff, Software Engineer Staff Software Engineer role focused on designing, developing, and deploying advanced AI systems using Generative AI, LLMs, Agentic, and RAG frameworks. The role involves architecting scalable solutions, integrating agentic frameworks, mentoring teams, and building highly scalable and reliable solutions for Walmart's Global Technology Platform team. | Agent | 8 |
| Distinguished, Software Engineer Distinguished Engineer role focused on technical vision, architecture, and engineering excellence for enterprise-scale AI/ML systems and platforms, including GenAI integrations, model serving, and agentic systems. The role involves technical leadership, cross-functional collaboration, and mentorship. | AgentServe | 8 |
| Principal, Software Engineer – GenAI Initiative Seeking a Principal Software Engineer with expertise in Generative AI, LLMs, and RAG frameworks to lead the design, development, and deployment of advanced AI systems. The role involves architecting scalable solutions, integrating agentic frameworks, and mentoring engineering teams. Responsibilities include designing, fine-tuning, and deploying GenAI models with RAG, developing LLM-based agents for reasoning and decision-making, integrating external data sources, architecting scalable AI systems, and partnering with product teams for integration. Requires 12+ years of experience, with 2+ in GenAI/LLMs, strong RAG/vector search experience, Python, ML frameworks, and cloud platforms. | AgentPost-train | 8 |
| Principal, Data Architect Principal Data Architect to design and build a 'Semantic World Model' for Sam's Club, unifying data for intelligent agents. This involves architecting real-time state management, a tool-calling fabric for data products, enterprise standards for Agent Ready Data (GraphRAG, vector optimization), and reasoning guardrails for AI grounding. The role emphasizes an AI-native operating model and modernization of legacy systems. | AgentData | 8 |
| Distinguished, Data Scientist Distinguished Data Scientist for Walmart's eCommerce Search AI, focusing on next-generation search experiences using neural search, Generative AI, and agentic AI systems. The role involves architecting scalable search infrastructure, driving adoption of advanced ML/AI techniques like deep retrieval and LLM intent understanding, and ensuring production readiness. Key responsibilities include partnering with cross-functional teams, influencing technical strategy, mentoring senior staff, and championing best practices in experimentation, evaluation, and AI governance. The role emphasizes innovation and staying ahead of trends in neural search, GenAI, and agentic systems for responsible scaling across the eCommerce ecosystem. | AgentServe | 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 |
| 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, 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, 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 |
| (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 (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 |
| (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 |
| (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 |
| (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 |
| 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 |
| 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 |