Distinguished, Architect - AI/ML

Position Overview

Building the right technology foundation for Infrastructure & platforms is vital to success at Walmart. The role supports Walmart Global Tech’s Site Reliability Engineering organization by architecting revolutionary agentic AI systems that autonomously monitor, predict, and resolve issues across Walmart’s technology ecosystem. This position is integral in transforming traditional SRE practices into cutting-edge, self-healing platforms that underpin reliability across e-commerce, stores, and supply chain systems.

Key Responsibilities

• Architect and develop advanced agentic AI systems for autonomous incident response, predictive failure analysis, and self-optimization.
• Design and implement multi-agent orchestration platforms to coordinate automated incident response, capacity planning, and performance optimization.
• Build intelligent observability and ML-driven monitoring systems using techniques like anomaly detection and predictive analytics.
• Develop self-healing, fault-tolerant infrastructure platforms that predict, prevent, and automatically resolve system issues across global operations.
• Design and build tools to improve reliability, latency, availability, and scalability including establishing metrics, SLOs, and SLIs.
• Collaborate with engineering teams and leadership across various domains to enhance system performance and reduce downtime (MTTD/MTTR).
• Partner with multiple engineering organizations to drive the development of MLOps/AIOps platforms and implement advanced CI/CD pipelines.
• Provide technical mentorship and guidance on advanced SRE concepts, AI/ML for reliability, and autonomous system design.

Required Qualifications

• Minimum Qualifications: Option 1 – Bachelor’s degree in computer science, computer engineering, software engineering, or related field and 6 years’ experience in software engineering, architecture, or related area; OR Option 2 – 8 years’ experience in these areas.
• 12+ years of expert-level experience with machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and building production ML solutions at enterprise scale.
• Proven expertise in architecting and implementing AI-driven solutions, including building agentic AI systems and multi-agent frameworks.
• Comprehensive site reliability engineering experience with a focus on incident management, capacity planning, chaos engineering, and building self-healing systems.
• Expert-level cloud engineering skills (Azure, GCP, AWS), containerization (Kubernetes, Docker), and Infrastructure as Code (Terraform, CloudFormation).
• Deep expertise with distributed tracing, metrics collection, and building AI-driven observability and predictive monitoring solutions.

Preferred Qualifications

• Master’s degree in computer science, computer engineering, or a related field with 4+ years’ experience in software engineering, architecture, or related area.
• Experience creating inclusive digital experiences, implementing WCAG 2.2 AA standards, and integrating assistive technologies.

Benefits & Perks

• Compensation: Competitive base salary ranges with additional performance-based bonus awards and stock incentives. (Sunnyvale, CA: $169,000 - $338,000; Bentonville, AR: $130,000 - $260,000; Bellevue, WA: $156,000 - $312,000)
• 401(k) match & Stock Purchase Plan
• Health Benefits: Medical, vision, dental, and company-paid life insurance options.
• Paid Time Off (PTO): Includes paid maternity/parental leave, sick leave, and additional time off for vacations and holidays.
• Additional perks such as Live Better U education benefits, company discounts, Military Leave Pay, adoption/surrogacy reimbursement, and more.