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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, popular engineer title, and broad tech requirements create high competition.
Senior platform and Java/AI specialization reduces cross-industry portability.
Multiple mandatory technical requirements (10+ years, Java/Spring/Kafka/Spark, LLM and vector DB experience) increase strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architectural decisions and guide team best practices for scalable AI-powered full-stack applications integrating Large Language Models and machine learning.
Design, develop, implement, deploy, and document intelligent AI systems impacting Walmart associates' workflows globally.
Collaborate cross-functionally with engineering, AI, product management, and senior leadership to align AI product strategy, technical priorities and mentor engineering teams.
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.
Proficient in Java, Spring Boot, Kafka, Spark; experienced in building large scale, scalable data processing Java applications and cloud-based solutions.
Hands-on experience with LLM integration (Spring AI, LangChain4j), vector DBs (pgvector/Milvus), microservices, CICD tools, distributed system design, REST API development, containerization (Docker, Kubernetes), and monitoring tools.
Ideal Candidate Profile
Experienced senior engineer with deep expertise in AI/ML integration and scalable full-stack Java development within large enterprise environments.
Proven ability to lead cross-functional teams and influence product strategy in AI-driven application development.
Strong background in distributed systems, microservices architecture, and cloud-native development aligning with strategic initiatives and operational efficiency.