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

Walmart Global Tech - Sunnyvale, CA

Hiring: (USA) Distinguished, Software Engineer-AI/ML Engineer - Agentic Systems & Site Reliability Engineering Company: Walmart Global Tech Location: Sunnyvale, CA Job Posted Time: 2026-09-03 10:43:33 Employment Type: Full-time / Hybrid Target Skills & Keywords : API Gateway, AWS, Accessibility, Azure, CI/CD, Change Management, CloudFormation, Computer Vision, Datadog, Deep Learning, Docker, ELK Stack, Event-Driven, GCP, Grafana, Infrastructure as Code, Istio, Jaeger, Kafka, Kubeflow, Kubernetes, LLM, Linkerd, MLOps, MLflow, Machine Learning, Microservices, NLP, OpenTelemetry, Prometheus, Pulsar, Pulumi, PyTorch, Reinforcement Learning, Serverless, Service Mesh, Splunk, Systems Design, TensorFlow, Terraform, User Experience, WCAG, Zipkin About the job Experience: •Expert-level AI/ML engineering experience with deep expertise in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and production ML system deployment at scale. •Advanced experience with agentic AI systems including multi-agent frameworks, autonomous decision-making systems, LLM-based agents, and agent orchestration platforms. •Comprehensive Site Reliability Engineering expertise including hands-on experience with Service Management (Incident, Problem & Change Management), Performance and Capacity Engineering for AI/ML systems. •Expert-level cloud engineering experience (Azure, GCP, AWS) with deep knowledge of cloud-native AI/ML services, containerization (Kubernetes, Docker), and serverless architectures. •Distributed tracing (Jaeger, Zipkin, OpenTelemetry) for AI/ML pipelines Qualifications: •Bachelor's/Master's degree in Engineering, Computer Science, or related field with 12+ years of hands-on experience in Site Reliability Engineering, AI/ML Engineering, or Platform Engineering. •Proven track record as a senior individual contributor in SRE, AI/ML, or Platform Engineering with experience influencing technical decisions and driving technical excellence across teams. •Deep experience working with mission-critical systems with KPI expertise in MTTD, MTTR, availability, model performance, and autonomous system reliability. Compensation: •$169,000 - $338,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!