You will be a great fit if: - You architect end-to-end ML/AI systems — from feature engineering through production deployment and monitoring - You’ve built and shipped multiple autonomous AI agents (not just experimented with LLM APIs) - You’re Level 5+ on Steve Yegge’s Vibe Coding scale and can ship production systems through AI-assisted development - You combine deep statistical rigor with practical business impact
About the Team
The Associate AI Experiences team applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally. You’ll build production Agentic systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale.
Our team builds intelligent platforms, agents and ML-powered solutions that make associates’ jobs easier, faster, and more fulfilling across stores, fulfillment centers, distribution centers, and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping all data within Walmart’s network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You’ll Do
- Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
- Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and simulation.
- Architect and deploy large-scale AI systems and autonomous AI agents — conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns
- Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
- Deploy NLP pipelines at enterprise scale — semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
- Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout.
- Author and review technical designs and standards; present findings to senior leadership.
- Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams.
- Establish best practices for model validations, experiemention, and safe deployment of AI systems.
- Influence roadmap prioritization and long-term strategy for AI and simulation capabilities.
- Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals.
- Experience building and deploying AI/ML solutions in production environments.
- Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).
- Demonstrated AI/ML engineering experience:
- Pipeline orchestration (Airflow, Dagster, Prefect)
- Model packaging/serving (FastAPI, BentoML, TorchServe)
- Containerization and deployment (Docker, Kubernetes)
- CI/CD and testing practices for AI/ML
- Monitoring, observability (model metrics, drift, loggin)
- Solid understanding of statistics, experimental design, and causal/measurement thinking.
- Experience with agentic AI / LLM systems including:
- Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel, LlamaIndex, custom orchestrators).
- Prompt strategies, structured outputs, and reliability techniques
- RAG design and optimization.
- LLM/agent evaluation methodologies
- Strong SQL skills and experience working with large-scale datasets.
- Ability to translate complex analytical results into clear business recommendations for non-technical stakeholders.
- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 3+ years’ experience in data science or Machine Learning roles with demonstrated impact.
- PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-09050: The annual salary range for this position is $90,000.00 - $180,000.00
Sunnyvale, California US-11349: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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.Primary Location...805 Se Moberly Ln., Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related field AND 3+ years' experience in data science or machine learning roles
- Alternatively: Bachelor's degree in related field and 3 years' experience, OR Master's degree and 1 year experience, OR 5 years' experience in analytics or related field
- Proficiency in Python and common ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow)
- Experience building and deploying production ML systems: data pipelines, feature stores, model training, serving, monitoring, feedback loops
- Experience with pipeline orchestration (Airflow, Dagster, Prefect)
- Experience with model packaging/serving frameworks (FastAPI, BentoML, TorchServe) and CI/CD practices for ML
- Containerization and deployment experience (Docker, Kubernetes)
- Strong SQL skills and experience working with large-scale datasets
- Experience with agentic AI/LLM systems and tool-calling, agent orchestration frameworks (LangChain/LangGraph, Pydantic AI, Semantic Kernel, LlamaIndex) and RAG design
- Experience deploying NLP at scale using embeddings and vector search (BERT/SBERT, FAISS)
- Solid understanding of statistics, experimental design, causal/measurement thinking, and model validation/monitoring
- Ability to translate analytical results into business recommendations and present to senior leadership; mentoring experience
- Preferred: PhD in AI/ML, CS, Statistics, or related field (optional)
- Preferred: Accessibility and WCAG 2.2 AA knowledge for inclusive digital experiences (optional)
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.






