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 |
|---|---|---|
| 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 |
| 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 |
| (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, 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 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 |
| 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-trainAgent | 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 |
| Staff, Data Scientist Staff Data Scientist at Walmart focused on using GenAI, AI, ML, deep learning, and computer vision to improve the product catalog. The role involves designing, developing, and deploying models into production, mentoring junior members, and consulting with business stakeholders. Experience with production deployment of DS models via Spark, Kubernetes, and Python is required. | ShipPost-train | 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 |
| 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 |
| 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 |
| Staff, Data Scientist Staff Data Scientist at Walmart focused on designing, building, and deploying advanced ML models for retrieval, relevance, ranking, bidding, and targeting recommendations to enhance customer and advertiser experience and drive business growth. The role involves end-to-end model lifecycle management, including feature engineering, development, experimentation, monitoring, and optimization, with a focus on financial forecasting, explainable AI (XAI), and exploring foundation models. It also includes building agentic workflows for conversational agents and mentoring other data scientists. | ShipData | 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 Senior Data Scientist at Walmart focused on end-to-end development and deployment of ML models for consumer-facing business problems. Responsibilities include data sourcing, model development (statistical modeling, optimization, NLP, recommendation systems, predictive analytics), production-quality coding, model evaluation, and stakeholder communication. The role emphasizes translating business needs into impactful ML solutions and collaborating cross-functionally. | ShipPost-train | 7 |
| (USA) Staff, Software Engineer Staff Software Engineer on the Walmart Advertising technology team, defining and leading the test engineering strategy for AI-powered advertising systems. This includes ML model validation, intelligent audience pipelines, real-time bidding infrastructure, and programmatic data platforms. The role involves architecting test frameworks, embedding quality into AI/ML development lifecycles, and operating as a senior technical leader. | Eval GateAgent | 7 |
| Distinguished, Data Scientist Distinguished Data Scientist to drive AI/ML strategy, design scalable AI/ML solutions for enterprise-scale business challenges, lead advanced analytics initiatives, develop innovative ML systems, and mentor teams. Focus on full ML lifecycle, MLOps, and leading large-scale enterprise AI initiatives. | Ship | 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 |
| 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 Manager, Advanced Analytics Senior Manager, Advanced Analytics at Walmart responsible for developing and implementing data models and machine learning solutions to drive business results. This role involves managing the end-to-end lifecycle of data science products, from ideation to production, and collaborating with cross-functional teams. The position requires experience with various machine learning models, data mining, and cloud platforms. | Ship | 7 |