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.

Lead the design and delivery of machine learning solutions for personalization and ad targeting at VIZIO. This role involves owning complex problems end-to-end, translating product needs into scalable ML models, and iterating through evaluation and experimentation. The Principal Data Scientist will also set technical standards, contribute hands-on deep learning models, and mentor other data scientists.

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.

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.

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.

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.

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.

Senior Data Scientist role focused on designing, developing, and deploying AI/ML, NLP, and LLM models into production environments for Walmart's B2B Commercialization Platforms and Enablement team. The role involves integrating data science solutions into business processes, promoting ML best practices in retail, and collaborating with stakeholders to drive strategic decision-making. Requires a strong history of hands-on AI/ML modeling, GenAI/Deep Learning experience, and proven success in delivering production-ready AI/ML solutions.

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.

Staff Data Scientist role at Walmart focused on leveraging Computer Vision, Generative AI, and VLMs to build and deploy advanced retail solutions. Responsibilities include designing, training, and deploying computer vision models for object detection and personalization, building foundation model pipelines with multimodal signals, and mentoring team members on generative modeling techniques. The role also involves integrating models with MLOps for performance optimization and deployment in production environments.

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.

The Principal Data Scientist will apply and develop statistical modeling techniques, optimization methods, and ML techniques to build efficient and scalable models at Walmart scale. This role involves collaborating with business and engineering counterparts, defining model metrics, tracking business impact, and publishing research in top-tier conferences. The focus is on leveraging generative AI, ML, deep learning, and computer vision to improve customer search and e-commerce experiences.

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.

Principal Data Scientist role focused on Generative AI for 3D and Multi-Modal applications within Walmart's Emerging Tech Extended Reality team. Responsibilities include processing large datasets, developing deep learning models for image generation and synthesis, building and maintaining ML/DL pipelines, and collaborating with product and engineering teams. The role requires experience in computer vision, deep learning, and launching ML models in production.

The role focuses on designing and building multi-modal evaluation frameworks and AI-as-a-judge systems, primarily for generative AI content in Extended Reality experiences. It involves fine-tuning Vision-Language Models and Reward Models, leading experimentation with causal inference, orchestrating RLHF strategies, and collaborating on model launch criteria. The role also involves staying current with research in perceptual quality and implementing techniques to detect issues in generated content.

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 Software Engineer to lead applied AI strategy for developer experience at Walmart, focusing on building intelligent, context-aware systems that leverage LLMs and agentic workflows to enhance engineering velocity and quality within the SDLC.

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.

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.

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.

Staff Software Engineer/MLE on the Emerging Tech Extended Reality team at Walmart, focusing on Computer Vision, Machine Learning, and Deep Learning for AR/VR experiences. Responsibilities include developing multi-modal GenAI models for content generation and intelligence, scaling data pipelines, establishing model evaluation frameworks, driving production integration of AI applications, and translating research into production-grade solutions. Requires experience with multi-modal LLMs, diffusion models, 3D representation learning, and Python frameworks like PyTorch/TensorFlow.

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.