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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and generalist title increase competition despite seniority and niche AI needs.
Role's combination of Java microservices and GenAI integration favors specialists, limiting cross-industry transferability.
Explicit 10+ years plus mandatory Java, microservices, and LLM/GenAI tech stack enforces high strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architectural decisions and best practices for scalable AI-powered full-stack application development integrating LLMs, Generative AI, and traditional ML models.
Drive end-to-end design, implementation, deployment, and documentation of intelligent systems impacting Walmart associates worldwide.
Collaborate with cross-functional teams globally including engineering, data science, enterprise architects, and business stakeholders to align AI product roadmaps and technical priorities.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Minimum 10+ years’ experience in software design, development, and automated deployments.
Mandatory skills: Java (including Java/J2EE, Spring Boot, Spring MVC), Kafka, Spark, microservices architecture, REST API development, CI/CD tools (Git, Maven, Jenkins).
Experience integrating foundational LLM models, RAG framework using Spring AI and LangChain4j, working with embedded Vector DBs (pgvector, Milvus), Redis semantic caching, and reactive programming (Webflux or similar).
Ideal Candidate Profile
Experienced senior software engineer with strong background in scalable Java backend and AI/ML integration solutions.
Proven capability in leading cross-functional, global teams and engaging with senior leadership to define AI technology roadmaps.
Hands-on with modern cloud-native microservices architectures and expertise in full application lifecycle from design to production troubleshooting.