Walmart's mission to transform the in-store associate and manager experience through AI-powered and Agentic AI solutions, building next-generation applications that enhance productivity, collaboration, and decision-making for millions of associates worldwide.
Requirements
- Proficiency in Python, Java, Node.js, and modern frameworks (Spring Boot, LangChain, LangGraph).
- Experience with multi-agent orchestration frameworks and LLM-powered workflows.
- Strong knowledge of cloud-native platforms (Azure, Kubernetes, Docker).
- Experience with GraphQL and databases (Azure SQL, Cassandra, Cosmos DB).
- Solid understanding of distributed systems, scalability, and disaster recovery.
- Experience with CI/CD pipelines, monitoring tools, and automated testing.
- Experience with Agentic AI development using LangChain, LangGraph, AutoGen, or Semantic Kernel.
Responsibilities
- Design and build Agentic AI applications that leverage multi-agent orchestration frameworks and Large Language Models (LLMs).
- Integrate Generative AI into Walmart’s federated GraphQL data gateway and distributed systems.
- Design scalable, distributed, and resilient AI/ML solutions for enterprise use.
- Architect multi-agent orchestration workflows, where specialized AI agents collaborate to solve complex tasks.
- Research, prototype, and implement Agentic AI applications leveraging frameworks like LangChain, LangGraph, AutoGen, or Semantic Kernel.
- Build and optimize multi-agent orchestration pipelines, enabling task decomposition, coordination, and collaboration among AI agents.
- Implement Retrieval-Augmented Generation (RAG) pipelines, vector stores, embeddings, and query expansion techniques.
Other
- Partner with stakeholders to gather, analyze, and classify requirements (functional, non-functional, emergent).
- Translate business objectives into Agile-friendly user stories and technical designs.
- Present and Defend Architectures as necessary in Architecture Review sessions from a variety of perspectives including Scalability, Resilience, Disaster Recovery, Cloud Cost, Complexity, Maintainability, Sustainability and Operational Excellence.
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- Hands-on experience deploying AI/ML and agent-based applications into production.
