Distinguished Software Engineer - AI/ML Engineer (Agentic Systems & Site Reliability Engineering)

Location: Crossman Excellence Building, Sunnyvale, California, United States; home office

Salary: $169,000–$338,000 annual salary, plus performance-based bonuses and potentially stock.

Company

Walmart Global Tech develops and operates technology supporting Walmart’s e-commerce, stores, supply chain, financial services, and omnichannel ecosystem.

What you will do

• Architect and develop agentic AI systems, multi-agent orchestration platforms, and autonomous workflows for predictive failure analysis, incident response, capacity planning, and performance optimization.
• Build ML-driven observability, anomaly detection, predictive monitoring, and self-healing infrastructure platforms across Walmart’s technology systems.
• Design fault-tolerant, high-availability systems and tools that improve reliability, latency, scalability, MTTD, and MTTR across hybrid cloud environments.
• Define SLOs and SLIs with service owners and perform complex troubleshooting of large-scale distributed systems.
• Drive MLOps, AIOps, CI/CD, platform engineering, and reusable developer tooling for reliability systems.
• Provide technical leadership, mentorship, architecture guidance, code reviews, and knowledge sharing across engineering organizations.

Requirements

• Bachelor’s or master’s degree in engineering, computer science, or a related field with 12+ years of hands-on experience in SRE, AI/ML engineering, or platform engineering; alternatively, the minimum qualification is a bachelor’s degree in a listed computing discipline with 6 years of software engineering experience, or 8 years of software engineering experience.
• Senior individual-contributor experience influencing technical decisions and driving technical excellence across teams.
• Expertise in machine learning algorithms, deep learning frameworks including TensorFlow and PyTorch, and production ML deployment at scale.
• Advanced experience with agentic AI, multi-agent frameworks, autonomous decision-making systems, LLM-based agents, and agent orchestration platforms.
• Comprehensive SRE expertise, including incident, problem, and change management, performance engineering, and capacity engineering for AI/ML systems.
• Expert cloud engineering experience with Azure, GCP, or AWS; cloud-native AI/ML services; Kubernetes; Docker; and serverless architectures.
• Deep observability experience with distributed tracing, metrics and alerting, log aggregation, APM, AI-driven anomaly detection, and predictive monitoring.
• Platform engineering experience with developer platforms, infrastructure as code, service meshes, API gateways, microservices, self-service ML deployment, and developer productivity tools.
• Experience with mission-critical distributed systems, enterprise-scale SRE, and complex multi-cloud or hybrid-cloud environments; retail, e-commerce, or high-traffic consumer systems are strongly preferred.
• Technical leadership, cross-functional collaboration, communication, mentorship, and ownership of complex mission-critical systems.

Nice to have

• Master’s degree with 4 years of related experience; MLOps and model lifecycle tools such as MLflow, Kubeflow, or Seldon.
• Natural language processing, computer vision, edge computing, real-time streaming, and event-driven architectures using Kafka or Pulsar.
• Security practices for reliability systems, chaos engineering, fault injection, performance optimization, and open-source contributions.
• Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility best practices.

Culture & Benefits

• Full-time employment within Walmart Global Tech’s Site Reliability Engineering organization.
• Medical, vision, and dental coverage; 401(k), stock purchase, company-paid life insurance, disability coverage, and paid time off.
• Parental, family care, bereavement, jury duty, voting, military leave, adoption, and surrogacy benefits.
• Walmart-paid education programs may cover tuition, books, and fees for eligible associates.
• Benefits and eligibility depend on job classification, length of employment, and applicable plan terms.

Hiring process

• Applicants must meet one of the stated minimum qualification paths; preferred qualifications are optional.