Apply on Employer Site

Walmart Canada · 2 months ago

Distinguished, Architect - AI/ML

United States

Full-time

Remote

Senior Level, Lead/Staff

$169K/yr - $338K/yr

6+ years exp

Walmart Inc. is a leading retailer seeking a Distinguished Architect - AI/ML to join its Global Tech team. The role focuses on architecting advanced AI systems to enhance reliability engineering across Walmart's technology ecosystem, impacting millions of customers and associates globally.

DeliveryRetailShopping

Responsibilities

Architect and develop advanced agentic AI systems that can autonomously handle complex reliability engineering workflows, predictive failure analysis, and self-optimization across all Walmart technology systems

Design and implement multi-agent orchestration platforms that coordinate between different AI agents for automated incident response, capacity planning, and performance optimization across e-commerce, supply chain, and in-store systems

Build intelligent observability and monitoring systems using ML-driven anomaly detection, predictive analytics, and autonomous incident resolution capabilities that span all of Walmart's technology ecosystem

Develop self-healing infrastructure platforms that leverage AI to predict, prevent, and automatically resolve system issues before they impact customers, associates, or business operations across any Walmart system

Design, write and build advanced tools to improve reliability, latency, availability, and scalability of all Walmart Tech systems including: 1) Engineer reliability and availability starting with metrics and measurements across all domains, 2) Enable scaling by providing technical solutions, developing automation and/or optimizing processes for all engineering teams, 3) Build tools/automate to prevent re-occurrence of problems across all mission critical Walmart services, 4) Augment existing instrumentation to build a cohesive picture of system characteristics across the entire Walmart technology landscape with special attention to points of failure

Architect and implement fault-tolerant systems and services across Walmart's hybrid cloud infrastructure with focus on autonomous recovery and intelligent failure prediction for e-commerce, supply chain, financial services, and in-store technology

Collaborate with engineering teams and leadership across all Walmart technology organizations to establish technical strategies and solutions to improve mean time to detect (MTTD) and mean time to restore (MTTR) through intelligent automation and predictive capabilities

Work with service owners across all domains (e-commerce, supply chain, stores, fintech, etc.) to define SLOs and build SLIs to ensure all critical systems are meeting SLAs while maintaining optimal performance and user experience

Perform complex troubleshooting and analysis of large-scale distributed systems across Walmart's entire technology stack, using expertise in coding, algorithms, and distributed system design

Partner closely with all engineering organizations including E-commerce, Supply Chain, Store Technology, Fintech, and Data Platform teams to deliver autonomous reliability solutions through advanced machine learning, natural language processing, and computer vision technologies

Drive the development of MLOps and AIOps platforms that enable continuous learning, model deployment, monitoring, and autonomous optimization of reliability engineering systems across all Walmart domains

Innovate in agentic AI technologies for SRE including large language models (LLMs) 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 advanced CI/CD pipelines for reliability systems including automated deployment, validation, and rollback mechanisms for SRE tools and monitoring systems with built-in observability and performance monitoring

Establish platform engineering excellence by building reusable SRE infrastructure, intelligent monitoring platforms, and developer productivity tools that serve all Walmart engineering teams

Provide technical mentorship and guidance to engineering teams across all Walmart organizations on advanced SRE concepts, AI/ML for reliability, platform engineering best practices, and autonomous system design through code reviews, technical discussions, and knowledge sharing

Qualification

AI systems architectureMachine learning algorithmsSite Reliability EngineeringCloud engineeringObservability solutionsDeep learning frameworksMulti-agent frameworksInfrastructure as CodeDistributed tracingTechnical mentorshipCollaboration with teamsProblem-solving

Required

Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years' experience in software engineering, architecture, or related area

8 years' experience in software engineering, architecture, or related area

12+ years of expert-level experience with machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and production ML deployment at enterprise scale

Deep hands-on experience building agentic AI systems, multi-agent frameworks, LLM-based agents, and autonomous decision-making platforms

Proven ability to architect and implement AI-driven solutions for complex technical challenges

Comprehensive SRE expertise including Service Management (Incident, Problem & Change), Performance Engineering, and capacity planning for mission-critical systems

Deep understanding of reliability KPIs (MTTD, MTTR, availability) with proven track record of improving system reliability at scale

Experience with chaos engineering, fault injection, and building self-healing systems across diverse technology stacks

Expert-level cloud engineering experience (Azure, GCP, AWS) with deep knowledge of containerization (Kubernetes, Docker) and serverless architectures

Strong platform engineering skills including Infrastructure as Code (Terraform, CloudFormation), service mesh architectures, and building developer productivity tools

Experience designing and implementing self-service ML deployment platforms and API gateways for enterprise environments

Deep expertise with distributed tracing (OpenTelemetry, Jaeger), metrics collection (Prometheus, Grafana), and log aggregation (ELK stack, Splunk)

Hands-on experience building AI-driven anomaly detection, predictive monitoring systems, and ML-specific dashboards

Proven ability to implement comprehensive observability solutions for complex AI/ML pipelines and distributed systems

Preferred

Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering, architecture or related area

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

Knowledge of accessibility best practices and Walmart's accessibility standards and guidelines for supporting an inclusive culture