(USA) Staff, Software Engineer_AI/ML

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: Walmart is seeking a Staff Software Engineer to lead the development and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks. This role involves driving the full software lifecycle, applying cloud-native architecture principles, and ensuring high-quality system design. The successful candidate will provide technical leadership, mentor engineering teams, and collaborate across functions to translate complex business needs into actionable solutions. A strong focus on innovation, engineering excellence, and continuous improvement is essential to support Walmart’s technology goals and enhance overall developer productivity. About the team: The Associate AI Platform team develops an enterprise-scale AI platform that enhances productivity, decision-making, and knowledge access for over two million Walmart associates globally. Operating at the intersection of AI, distributed systems, developer platforms, and product engineering, the team addresses complex challenges in agent orchestration, tool execution, personalization, and responsible AI. As a Staff Software Engineer, you will contribute to shaping the platform’s architecture and technical direction, driving innovation and scalability within one of the world’s largest enterprises. The team emphasizes robust design, cloud-native principles, and data-driven solutions to deliver impactful intelligent experiences.

: • Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones and domain priorities. • Drive full software development lifecycle activities such as coding, testing, deployment, monitoring, and maintenance. • Apply cloud-native architecture principles to ensure scalable, resilient, and agile systems. • Conduct system design reviews to validate feasibility and ensure alignment with architectural best practices. • Build AI-driven applications and integrate ML components to support automation and intelligent features. • Mentor engineers, influence technical decisions, and promote engineering excellence through documentation and knowledge sharing. • Collaborate across teams to define technical