Walmart

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.

Principal Data Scientist to lead the vision, architecture, and implementation of Walmart’s next-generation AI infrastructure, GenAI platforms, and engineering capabilities. This role will drive the end-to-end design of high-performance AI systems, including model training and serving infrastructure, distributed inference pipelines, data and feature platforms, retrieval/grounding services, and automation frameworks for AI agents and real-time decisioning at global scale. Responsibilities include architecting distributed training, vector retrieval systems, LLM inference optimization, and scalable agent backends, as well as developing GenAI platform components like RAG pipelines, vector search, and model serving. The role also involves optimizing AI workloads, leading operational excellence, and defining engineering standards for AI observability and responsible AI.

Senior Manager, Data Science role focused on building and extending an agentic AI platform (Midnight AI) for Walmart's Finance organization. The platform uses autonomous AI agents to research, reason, and respond to requests, integrating with various enterprise data systems and specialized sub-agents. The role involves designing new agents, hardening existing ones, expanding integrations, and ensuring scalability, with a strong emphasis on AI-first development practices and responsible AI.

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.

Distinguished Software Engineer - AI/ML Engineer for Walmart Connect, focusing on architecting and deploying advanced Gen AI and ML solutions for the advertising platform. The role involves owning the end-to-end strategy for LLMs, multimodal models, RAG, and autonomous agents, with a strong emphasis on scaling these solutions for enterprise-level retail media. Key responsibilities include shaping the AI engineering roadmap, leading model pre-training/fine-tuning/alignment, architecting RAG pipelines and autonomous agents, optimizing inference for ultra-low latency, and establishing frameworks for safety and compliance. The role requires deep expertise in LLM orchestration, multi-agent architectures, and integrating AI into core ad systems, while also staying at the forefront of research and translating it into scalable products.

Staff Data Scientist role focused on building and deploying production-grade conversational AI systems and agentic AI architectures for Walmart's core AI conversational platform, powering intelligent assistants for millions of customers. The role involves designing and developing Generative AI systems, leading agentic AI development, prompt engineering, building end-to-end pipelines, and defining best practices for LLM-based production systems at scale.

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.

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.

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.

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.

Senior Software Engineer focused on building AI-first systems, specifically agentic AI services and high-performance data/compute frameworks. The role involves integrating LLMs/agents, orchestrating pipelines with Ray, accelerating workloads with RAPIDS, and delivering scalable APIs and services. Requires strong software engineering fundamentals with practical ML systems exposure, focusing on performance, reliability, and developer experience.

Software Engineer III to design and build AI-first systems focusing on agentic AI, high-performance data/compute frameworks, and scalable production services. Responsibilities include building agentic AI services with planning, tool use, and feedback loops, implementing orchestration and guardrails, and collaborating with DS/MLE partners. The role also involves developing GPU-accelerated pipelines with RAPIDS, using Ray for distributed compute, and designing reliable microservices for training/inference, vector indexing, and decisioning. Emphasis on quality, security, MLOps integration, and collaboration.

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.

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.

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.

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.

Senior Applied Scientist role on the Spark Driver Platform's Applied AI team, focusing on enhancing efficiency and profitability through machine learning, data science, and economics. The role involves building scalable production systems for driver search, matching, pricing, and support automation, utilizing deep learning, reinforcement learning, recommendation systems, and causal ML models. Responsibilities include collaborating with business and engineering teams, deploying end-to-end models, and optimizing ML pipelines.

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.

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.

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.

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.

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.

Staff Applied Scientist role at Walmart focused on enhancing the Spark Driver Platform using machine learning and reinforcement learning for pricing and incentive strategies. The role involves leading a team to design, train, evaluate, and deploy production models, with a focus on driving measurable business impact and improving driver experience and operational efficiency.

Staff Data Scientist specializing in Conversational AI and Generative AI to design and build the next generation of intelligent assistants. This role focuses on applying large language models, advanced NLP, and agentic AI architectures to solve real-world problems at massive scale. The role will shape production-grade conversational systems used by millions of customers.

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.

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.

Senior Software Engineer role focused on building and deploying multi-agent AI systems for enterprise use cases at Walmart. The role involves designing, building, and iterating on agentic systems, working directly with business stakeholders, and ensuring high uptime and response times. Requires strong coding skills, systems design expertise, and experience with LLM frameworks and multi-agent orchestration.

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.

Staff Data Scientist at Walmart focused on combating fraud using AI/ML. The role involves architecting ML solutions, performing data exploration, developing models with Gen AI techniques, and productionizing them into scalable, low-latency services. Experience with AI agents, large datasets, and cloud platforms is required.

Staff Software Engineer role focused on building and deploying large-scale ML systems, including deep learning models and real-time inference services, for personalization in a consumer domain. The role involves implementing advanced techniques like RAG and utilizing multimodal data to power recommendations and customer engagement, with a focus on agent frameworks and leveraging technologies like vector databases and knowledge graphs.

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.

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.

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.

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.

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.

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.

Staff Software Engineer, MLE focused on Agentic AI & AIOps at Walmart. The role involves designing and implementing production-ready agentic AI systems and AI-driven automation for cloud reliability, scalability, and developer productivity. Key responsibilities include building and deploying agentic AI platforms, developing AI-powered observability and autoscaling, and integrating AI/ML into CI/CD pipelines.

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.

Principal Data Scientist at Walmart to lead AI/ML initiatives for operational decision-making, focusing on designing, prototyping, scaling, and implementing ML/AI solutions. The role involves collaboration with cross-functional teams, improving data science processes, and driving business impact through associate efficiency and strategic alignment. Experience with GenAI, agentic AI, Causal Inference, and MLOps is required.

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.

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.

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.

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.

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.

This role focuses on building AI agent-driven automation for last-mile delivery operations, specifically for issue detection, root cause analysis, and resolution. It involves defining workflows, building orchestration frameworks, and collaborating with engineering to implement these systems. The goal is to turn manual operational problems into intelligent, automated workflows.

Staff Software Engineer role focused on architecting and building scalable, enterprise-grade solutions using Java, Spring Boot, React, and agentic technologies leveraging LLMs. The role involves building and optimizing intelligent agents, ensuring they are observable, cost-effective, and deliver consistent quality through evaluation pipelines, and owning the operational excellence of the system.

Senior Data Scientist role focused on building and improving labor forecasting capabilities for Walmart using ML/AI and GenAI. The role involves developing new forecasting models, enhancing existing ones, and building a scalable platform for automation across the model lifecycle, including data, evaluation, and deployment. It requires strong technical skills in SQL, Python, ML/AI, and GenAI experience is preferred.

This Principal Software Engineer role focuses on defining and driving the architecture of next-generation fraud and risk prevention systems at Walmart. The role involves leading the design of platforms that integrate real-time decisioning, entity intelligence, agentic AI, and human-in-the-loop workflows. The engineer will own cross-system strategy, drive AI-native system design, and mentor other engineers, with a strong emphasis on architecting and scaling large distributed systems that operationalize ML models.