Software Engineer, AI Engineer (Applied​/Software), Cloud Engineer - Software

Position Summary...What you'll do...Staff Software Engineer - Code Puppy

AI & Data | Walmart Global Tech Join Walmart as a Staff Software Engineer within our AI & Data organization and help make it trivially easy for associates, engineers, data scientists, and citizen developers to turn ideas into AI-powered solutions quickly, safely, and cost-effectively. At Walmart, we operate at Fortune #1 scale. Our challenges are complex, global, and deeply meaningful. Here, you'll do the best work of your career, work that helps people save money and live better.

About AI & Data The AI & Data organization within Walmart Global Tech is building a platform-first ecosystem that centralizes enterprise data, provides foundational AI capabilities, and delivers intuitive AI solutions for all personas. We enable AI at enterprise scale responsibly, securely, and reliably.

About the Team Our team builds intelligent agents that make associates' jobs easier, faster, and more fulfilling, from automating repetitive tasks to providing decision support for complex operations. We work directly with business stakeholders to rapidly iterate on agentic solutions that deliver measurable operational impact. We leverage the Element LLM Gateway to safely access state-of-the-art language models while ensuring all data remains within Walmart's network.

Position Summary As a Staff Software Engineer, you will play a critical role in designing, developing, and scaling agentic AI solutions that drive business transformation across Walmart. You will partner with business and technology teams to translate complex operational challenges into innovative AI-powered products and services. This role requires deep technical expertise, strategic thinking, and the ability to influence architecture and engineering best practices across teams.

You will be a great fit if:

• You thrive at the intersection of business problem-solving and hands-on software engineering.
• You are passionate about leveraging AI, machine learning, and large language models to create impactful solutions.
• You enjoy working directly with stakeholders to understand requirements and deliver measurable business value.
• You excel in highly collaborative, fast-paced environments and can effectively influence without authority.
• You are excited about building scalable, enterprise-grade software systems and mentoring fellow engineers.

• Design, develop, and deploy scalable agentic AI applications and multi-agent systems that address critical business challenges.
• Lead architecture and technical design discussions for highly available, secure, and performant platforms.
• Translate business requirements, operational workflows, and user needs into production-ready technical solutions.
• Collaborate closely with product managers, data scientists, engineers, and business stakeholders to deliver impactful outcomes.
• Drive the end-to-end development lifecycle, from solution design and implementation to deployment, monitoring, and continuous improvement.
• Build integrations with AI platforms, APIs, enterprise systems, and large-scale data ecosystems.
• Champion engineering excellence through code reviews, testing strategies, observability, and operational best practices.
• Establish standards and best practices for agentic AI development, prompt engineering, evaluation frameworks, and LLM integration.
• Mentor and coach engineers across teams, fostering technical growth and innovation.
• Contribute to technology roadmaps and help shape the future direction of AI-powered products at Walmart.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong software engineering experience building and operating large-scale distributed systems and enterprise applications.
• Expertise in one or more programming languages such as Python, Java, JavaScript, or Type Script.
• Experience designing and implementing scalable cloud-native applications and microservices architectures.
• Familiarity with AI/ML technologies, large language models, prompt engineering, retrieval-augmented generation (RAG), and agentic frameworks.
• Strong understanding of software design principles, system architecture, API development, and cloud platforms.
• Experience working with data platforms, analytics systems, and modern engineering tool chains.
• Excellent problem-solving, communication, and stakeholder management skills.
• Proven ability to influence technical strategy and drive cross-functional initiatives.
• Experience…