Distinguished, Architect - AI/ML

Walmart•Sunnyvale, CA

About The Position

Position Summary... Building the right technology foundation for Infrastructure & platforms is vital to success at the scale of Walmart. Our team builds and maintains the foundational technologies that support the tech organization. Included in this are data platforms, enterprise architecture, DevOps, cloud computing, and infrastructure. All of these products and services are supported by scalable and powerful infrastructure, ensuring a secure and seamless employee and customer experience across stores, digital channels, and distribution centers. What you'll do... Join Walmart Global Tech's Site Reliability Engineering organization as a Distinguished AI/ML Engineer to architect revolutionary agentic AI systems that autonomously monitor, predict, and resolve issues across the world's largest retailer's technology ecosystem, impacting millions of customers and associates globally. You'll lead the transformation of traditional SRE practices into cutting-edge, self-healing platforms that serve as the intelligent backbone for reliability engineering across all of Walmart's systems, from e-commerce to stores to supply chain. You'll be responsible for designing and building Tier 0 high-availability, resilient agentic platforms that serve as the backbone for reliability engineering across all of Walmart's systems, stores and facilities across US and international markets while defining and implementing unified, intelligent, operationally robust technical solutions and tools for all Walmart Technology organizations across all channels and geographies.

Requirements

Advanced AI/ML & Agentic Systems Expertise 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
Enterprise-Scale Site Reliability Engineering Mastery 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
Cloud-Native Platform Engineering at Scale 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
Advanced Observability & Monitoring Excellence 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
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and6 years’ experience in software engineering, architecture, or related area.
Option 2: 8 years’ experience in software engineering, architecture, or related area.

Nice To Haves

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.
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.

Responsibilities

AI/ML & Agentic Systems Technical Leadership: 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.
Site Reliability Engineering Technical Excellence: 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.
Strategic Technical Innovation: 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.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
Tuition, books, and fees are completely paid for by Walmart.