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

Walmart•Sunnyvale, CA

9d•$169,000 - $338,000

About The Position

As a Distinguished AI/ML Engineer in Walmart Global Tech's Site Reliability Engineering organization, you will lead development of agentic AI systems and intelligent automation that support the reliability, scalability, and operational excellence of Walmart's technology ecosystem. You will architect and implement machine learning platforms and autonomous agents to monitor systems, predict and resolve issues, and support Walmart's associates and customers globally. The role focuses on transforming traditional site reliability engineering practices into AI-powered, self-healing, autonomous systems. You will design high-availability agentic platforms and operational tools for Walmart systems across e-commerce, stores, supply chain, financial services, and other business domains, including US and international facilities. Walmart Global Tech's SRE organization works across product and engineering teams to ensure reliability, availability, and performance for the company's digital and physical technology. The position provides technical leadership in AI/ML, SRE, and platform engineering; delivers enterprise-wide reliability solutions; and mentors engineering teams.

Requirements

Bachelor's or master's degree in engineering, computer science, or a related field, with 12 or more years of hands-on experience in SRE, AI/ML engineering, or platform engineering, as stated in the role description.
Proven record as a senior individual contributor in SRE, AI/ML, or platform engineering, influencing technical decisions and technical excellence across teams.
Experience with mission-critical systems and KPIs including MTTD, MTTR, availability, model performance, and autonomous system reliability.
Expert-level AI/ML engineering, including machine-learning algorithms, TensorFlow or PyTorch, and production ML deployment at scale.
Advanced agentic AI experience, including multi-agent frameworks, autonomous decision-making systems, LLM-based agents, and orchestration platforms.
Comprehensive SRE expertise, including incident, problem, and change management, and performance and capacity engineering for AI/ML systems.
Expert cloud engineering experience with Azure, GCP, or AWS; cloud-native AI/ML services; Kubernetes and Docker; and serverless architectures.
Hands-on observability and monitoring experience with distributed tracing tools such as Jaeger, Zipkin, or OpenTelemetry; metrics and alerting tools such as Prometheus, Grafana, or DataDog; log tools such as ELK, Splunk, or Fluentd; APM; and AI-driven anomaly detection.
Platform engineering experience building developer platforms and internal tools for AI/ML teams; using infrastructure as code such as Terraform, CloudFormation, or Pulumi; service meshes such as Istio or Linkerd; API gateways and microservices platforms; and self-service ML deployment platforms.
Experience with large-scale retail, e-commerce, or high-traffic consumer-facing systems is strongly preferred.
Experience with mission-critical distributed systems serving millions of concurrent users across multiple domains.
Experience implementing enterprise-scale SRE across diverse technology stacks and business-critical applications.
Experience with complex multi-cloud and hybrid-cloud environments.
Technical leadership and influence in AI/ML architecture, SRE methodologies, and platform engineering strategies.
Cross-functional collaboration across engineering teams, including e-commerce, supply chain, store technology, fintech, security, and platform engineering.
Strong technical communication skills and the ability to explain complex SRE and AI/ML concepts and influence decisions.
Experience mentoring and sharing knowledge through technical guidance, code reviews, discussions, and documentation.
Technical ownership and accountability for complex, mission-critical systems, including independently delivering high-impact work across engineering domains.
Minimum qualifications: either a bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related area plus 6 years of software engineering or related experience; or 8 years of software engineering or related experience.

Nice To Haves

MLOps and model lifecycle management experience with MLflow, Kubeflow, Seldon, or similar platforms.
Natural language processing and computer vision expertise for log analysis, incident response, infrastructure monitoring, or conversational SRE tools.
Edge computing and distributed systems experience deploying monitoring and reliability solutions across stores, distribution centers, and edge infrastructure.
Real-time streaming and event-driven architecture experience with Kafka, Pulsar, or similar technologies.
Advanced security practices for reliability systems, including secure monitoring, observability data privacy, and secure multi-tenant SRE platforms.
Chaos engineering and fault-injection experience.
Performance optimization experience for large-scale distributed systems, including database optimization, network tuning, and infrastructure cost optimization.
Open-source contributions in SRE, observability, or infrastructure automation.
Preferred qualifications include a master's degree in computer science, computer engineering, computer information systems, software engineering, or a related area and 4 years of software engineering or related experience.
Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility best practices.

Responsibilities

Architect and develop agentic AI systems for reliability workflows, predictive failure analysis, and system self-optimization.
Design multi-agent orchestration platforms for incident response, capacity planning, and performance optimization.
Build intelligent observability and monitoring systems using machine-learning anomaly detection, predictive analytics, and automated incident resolution.
Develop self-healing infrastructure that predicts, prevents, and resolves system issues.
Design and build tools to improve reliability, latency, availability, and scalability across Walmart technology systems.
Establish reliability metrics and measurements, develop automation and process improvements, prevent recurrence of problems, and improve instrumentation across systems.
Architect and implement fault-tolerant systems and services across hybrid cloud infrastructure, emphasizing autonomous recovery and failure prediction.
Collaborate with engineering teams and leaders to improve mean time to detect and mean time to restore through automation and predictive capabilities.
Work with service owners to define SLOs and build SLIs, helping critical systems meet SLAs and performance expectations.
Troubleshoot and analyze large-scale distributed systems across Walmart's technology stack.
Partner with engineering organizations 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 optimization.
Develop agentic SRE technologies, including LLM-based incident response, reinforcement-learning capacity optimization, multimodal infrastructure monitoring, and federated learning.
Implement CI/CD pipelines for reliability systems with automated deployment, validation, rollback, observability, and performance monitoring.
Build reusable SRE infrastructure, intelligent monitoring platforms, and developer productivity tools.
Mentor engineering teams on SRE, AI/ML for reliability, platform engineering, and autonomous system design through code reviews, discussions, and knowledge sharing.

Benefits

Medical, vision, and dental coverage
401(k)
Stock purchase
Company-paid life insurance
Paid time off, including sick leave
Parental leave
Family care leave
Bereavement leave
Jury duty leave
Voting leave
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
PTO and/or PPTO that may be used for vacation, sick leave, holidays, or other purposes
Live Better U education benefit, including tuition, books, and fees for eligible programs
Annual or quarterly performance bonuses
Stock may be included as additional compensation for certain positions