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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal, Data Scientist -- Agentic AI - **Company:** Wal-Mart Stores, Inc. - **Location:** Sunnyvale, CA, United States - **Experience:** Experienced - **Salary:** $143,000.0 - $286,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Java (Programming Language), Web Accessibility, Artificial Intelligence, Data Analysis, Application Frameworks, Computing Platforms, C++ (Programming Language), Computer Programming, Continuous Integration, Distributed Computing Environment, R (Programming Language), Python (Programming Language), Machine Learning, Software Architecture, Tensorflow, Scala (Programming Language), SQL Databases, Management of Software Versions, Web Content Accessibility Guidelines, Reinforcement Learning, Feature Engineering, Pytorch, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Apache Spark, Generative AI, AI Platforms, Scikit Learn, Information Technology, ONNX (Open Neural Network Exchange) Format, Xgboost, Machine Learning Operations, Virtual Agents, Software Coding, Software Version Control, Programming Languages, Data Generation - **Published:** June 28, 2026 - **Apply:** https://www.juju.com/job/00000000gbxxup ## About the Role **Deep** **expertise** in Generative AI, LLMs, and/or Agentic AI systems (e.g., LLMOps, fine-tuning, RAG, multi-agent orchestration). **Strong applied science background** with the ability to design, experiment, and deploy cutting-edge ML models in production. **Proven experience** architecting large-scale ML/AI platforms with attention to performance, scalability, and maintainability. **Strong programming and ML tooling skills** (Python; PyTorch/TensorFlow). **Familiarity** with Agentic development platforms (Google ADK, LangGraph, CrewAI, AutoGen). **Track record** of technical leadership, mentoring, and influencing architectural decisions across teams. Nice-to-Haves Experience with broader ML ecosystems: Scikit-learn, Spark ML, XGBoost, or programming languages such as Java, C++, SQL, R. Familiarity with advanced optimization methods (e.g., distributed training, model compression, ONNX interoperability). Exposure to multimodal systems (vision, speech, time series). Strong presence in the AI/ML community (publications, open-source contributions, conference talks)., _Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications._ Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field Preferred Qualifications... _Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications._ Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. ## Description We are seeking a Principal Data Scientist to shape the future of Generative AI and Agentic AI at Walmart. This role is a highly specialized Applied Science position, requiring a deep fusion of cutting-edge applied science and scalable production system delivery. Building on our public vision of "Four Super Agents", you will architect and scale next-generation ML and LLM systems that power both customer-facing experiences and enterprise operations. You will drive innovation at the intersection of applied science, engineering, and platform strategy-pushing the boundaries of what large-scale AI can do in production. What you'll do... What** **You'll** **Do Our team is driving high-impact enterprise initiatives, including recommendation platforms, customer voice, market research, product innovation, customer attitudinal segmentation, agent based simulations, and many more. These initiatives require advanced expertise in the following capabilities: **GenAI & Agentic AI Innovation** **Architect** and build agentic AI systems with capabilities such as planning, memory, tool-use, and multi-agent collaboration, ensuring seamless integration with Walmart's digital ecosystem. **Define best practices for** **LLMOps** , including prompt versioning, embedding store management, synthetic data generation, fine-tuning strategies, and continuous evaluation for safety, accuracy, and bias. **Drive applied research** in large language models (LLMs) and multi-modal AI, leveraging methods such as LoRA/PEFT fine-tuning, reinforcement learning from human feedback (RLHF/DPO), quantization, and speculative decoding. **Explore and operationalize RAG pipelines** , deep research, multimodal fusion, and specialized architectures for language, vision, time series, and beyond. ML & Applied Science Foundations **Translate** ambiguous, high-impact business problems into scalable AI/ML solutions with measurable outcomes. **Build and guide** end-to-end ML systems covering data sourcing, feature engineering, model training, deployment, monitoring, and iteration. **Champion advanced** **MLOps** **practices** : automated pipelines, CI/CD for ML, model versioning, drift detection, and telemetry-based monitoring. **Ensure models** meet standards of fairness, explainability, and responsible AI compliance. Leadership & Influence **Serve as a technical leader and mentor** , guiding senior engineers and applied scientists to build depth and expertise. **Influence** cross-functional platform strategy, ensuring AI systems align with Walmart's broader product and engineering vision. **Contribute** to Walmart's AI reputation through thought leadership-publishing, presenting, and showcasing innovations internally and externally. What** **We're** **Looking For** Above all, we're looking for a leader defined by curiosity and the resilience to thrive in complex, innovative, and high-uncertainty environments. The ideal Principal has a deep technical science and engineering background-mastery of algorithmic thinking and strong coding skills-even if they haven't mastered every agentic technology on day one. We value the efficient use of AI coding assistants but expect strong, independent coding prowess. Your willingness to work hard and quickly get up to speed on new domains is the most critical asset. **If you have the foundational strength and the drive to lead our next-era AI journey in retail, we encourage you to apply., This is an opportunity to **define the next era of applied AI at Walmart** , building agentic, generative, and multimodal systems that will directly impact hundreds of millions of customers and associates. Our journey builds on Walmart's "Four Super Agents" vision, where we are scaling agentic, generative, and multimodal AI to power the future of commerce. You will work alongside some of the best engineers and scientists in the world to push the boundaries of AI at scale. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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