Senior Manager, Software Engineering - Ai/ml Tools

Walmart Walmart · Retail · Sunnyvale, CA

This role leads platform engineering for AI/ML tools and systems at Walmart, focusing on shared infrastructure, ML frameworks, and the full software development lifecycle. The Senior Manager will oversee the design and delivery of AI-integrated software systems, collaborate on building AI/ML-enabled features and agentic AI systems, and mentor engineering teams. The role emphasizes technical execution, operational delivery, and strategic alignment within an enterprise AI context.

What you'd actually do

  1. Leads platform-level execution of software and AI/ML systems, ensuring alignment with domain priorities and roadmap milestones.
  2. Oversees shared infrastructure, tooling, and ML frameworks for example, CI/CD, SDKs, model runtimes, feature stores) that support scalable, reusable, and secure development.
  3. Drives the full software development lifecycle—including coding, testing, deployment, observability, and ongoing maintenance—across multiple teams.
  4. Oversees the design and delivery of robust, AI-integrated software systems that serve millions of customers and associates, ensuring adherence to coding standards, architectural alignment, and cross-platform reliability.
  5. Collaborates with product, data science, and engineering teams to build AI/ML-enabled features, intelligent automation, and agentic AI systems.

Skills

Required

  • Software Engineering leadership
  • AI/ML systems design and delivery
  • Platform engineering
  • DevOps and CI/CD practices
  • Cloud cost optimization
  • System integration
  • Mentoring and developing engineers
  • Technical judgment and decision-making
  • Adaptability to change
  • Collaboration and communication

Nice to have

  • Experience with Python, Java, Rust, Dart, and TypeScript
  • Familiarity with GitHub Copilot

What the JD emphasized

  • AI/ML systems
  • AI-integrated software systems
  • AI/ML-enabled features
  • agentic AI systems
  • ML components and AI agents

Other signals

  • Leads platform-level execution of software and AI/ML systems
  • Oversees shared infrastructure, tooling, and ML frameworks
  • Drives the full software development lifecycle—including coding, testing, deployment, observability, and ongoing maintenance—across multiple teams
  • Collaborates with product, data science, and engineering teams to build AI/ML-enabled features, intelligent automation, and agentic AI systems
  • Integrates ML components and AI agents