W

Walmart

Sells groceries and essentials in stores and online

AI/ML Engineer - Agentic Systems

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • A bachelor's or master's degree in engineering, computer science, or a related field, with 12 or more years of hands-on experience in Reliability Engineering, AI/ML Engineering, or Platform Engineering.
  • Proven record as a senior individual contributor influencing architecture and driving technical excellence across large organizations.
  • Deep experience operating mission-critical systems, including MTTD, MTTR, availability, change management, model performance, and autonomous system reliability.
  • Expert-level AI/ML engineering experience, including deep learning frameworks such as TensorFlow and PyTorch and large-scale production ML deployments.
  • Advanced experience with agentic AI systems, including multi-agent frameworks, autonomous decision-making systems, LLM-based agents, and agent orchestration platforms.
  • Comprehensive Reliability Engineering expertise, including service management (Incident, Problem, and Change Management) and performance and capacity engineering for AI/ML systems.
  • Expert-level cloud engineering experience with Azure, GCP, or AWS; containerization with Kubernetes and Docker; serverless architectures; and cloud-native AI services.
  • Deep observability experience across distributed tracing, metrics, logs, APM, and AI-driven anomaly detection.
  • Strong platform engineering background, including infrastructure as code, service mesh architectures, API gateways, and self-service developer platforms.
  • Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related area, and six years of experience in software engineering or a related area; alternatively, eight years of experience in software engineering or a related area.

Responsibilities

  • Architect and develop advanced agentic AI systems that autonomously manage complex reliability engineering workflows, predictive failure analysis, and self-optimization across Walmart’s technology ecosystem.
  • Design and implement multi-agent orchestration platforms that coordinate autonomous agents for change management, capacity planning, and performance optimization across e-commerce, supply chain, and in-store systems.
  • Build intelligent observability and monitoring platforms using ML-driven anomaly detection, predictive analytics, and autonomous resolution across Walmart’s technology landscape.
  • Develop self-healing infrastructure platforms that use AI to predict, prevent, and automatically remediate system issues before they affect customers, associates, or business operations.
  • Design, write, and build advanced tools to improve latency, availability, scalability, and change management across Walmart Technology systems.
  • Use metrics and measurements across domains to engineer reliability.
  • Enable system scaling through technical solutions, automation, and process optimization.
  • Build tools and automation to prevent recurrence of failures across mission-critical services.
  • Enhance instrumentation to create an end-to-end view of system health, focusing on failure points.
  • Architect and implement fault-tolerant systems and services across Walmart’s hybrid cloud infrastructure, emphasizing autonomous recovery and intelligent failure prediction.
  • Collaborate with engineering teams and leadership to reduce mean time to detect and mean time to restore through intelligent automation and predictive capabilities.
  • Partner with service owners across e-commerce, supply chain, stores, fintech, and other domains to define SLA breach detection and change-related anomalies, ensuring systems meet SLAs while maintaining performance and user experience.
  • Troubleshoot and analyze large-scale distributed systems using expertise in coding, algorithms, and distributed systems design.
  • Partner with engineering organizations across E-commerce, Supply Chain, Store Technology, Fintech, and Data Platforms to deliver autonomous reliability solutions using machine learning, natural language processing, and computer vision.
  • Drive development of MLOps and AIOps platforms for continuous learning, deployment, monitoring, and autonomous optimization of reliability systems.
  • Develop agentic AI technologies for Reliability Engineering, including large language models for automated incident response, reinforcement learning agents for capacity optimization, multi-modal AI for infrastructure monitoring, and federated learning for cross-domain reliability insights.
  • Implement CI/CD pipelines for reliability platforms with automated validation, deployment, rollback, and built-in observability.
  • Build reusable reliability infrastructure, intelligent monitoring platforms, and developer productivity tools to establish platform engineering excellence.
  • Provide technical mentorship and thought leadership across Walmart Technology through code reviews, design discussions, and knowledge sharing.

Desired Qualifications

  • Experience with MLOps and model lifecycle management using platforms such as MLflow, Kubeflow, or Seldon.
  • Expertise in natural language processing and computer vision for intelligent log analysis, automated incident response, and visual infrastructure monitoring.
  • Experience with edge computing and distributed systems for retail stores and distribution centers.
  • Experience with real-time streaming architectures such as Kafka and Pulsar.
  • Experience with chaos engineering, fault injection, and performance optimization for large-scale distributed systems.
  • Open-source contributions in reliability, observability, or infrastructure automation.
  • A master's degree in computer science, computer engineering, computer information systems, software engineering, or a related area, and four years of experience in software engineering or a related area.
  • Knowledge of creating inclusive digital experiences, implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, using assistive technologies, and integrating digital accessibility in accordance with accessibility best practices and Walmart standards and guidelines.

About the Company

Walmart

Sells groceries and essentials in stores and online

Walmart sells groceries, household essentials, clothing, and electronics through stores and online marketplaces for consumers around the world. Its everyday low price model combines large purchasing volumes with distribution networks that move goods to stores and customer homes. Shoppers can browse online, collect orders at a nearby store, or request delivery, while third-party merchants use its marketplace and fulfillment services to reach customers. The group earns revenue from merchandise sales, memberships, advertising, and services, and also operates pharmacies, optical centers, and digital payments businesses. Walmart opened its first discount store in 1962 and is headquartered in Bentonville, Arkansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bentonville, AR
Founded
1962

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