AI-Enabled Java Full Stack Engineering Lead
Duration: 1 year, commencing Sep 15, 2026Location: SunnyvaleLevels: 7 (1), 8 (1)Role OverviewThe AI-Enabled Java Full Stack Engineering Lead is responsible for designing, developing, and delivering scalable enterprise applications leveraging modern Java full-stack technologies and AI capabilities. This role combines hands-on software engineering, solution architecture, AI integration, and technical leadership to build production-grade applications that improve business outcomes and accelerate technology innovation. The position works closely with business stakeholders to understand requirements and translate them into scalable, maintainable, and high-quality solutions.Core ResponsibilitiesDesign, build, and maintain scalable full-stack applications using Java, Spring Boot, microservices, REST/gRPC APIs, and modern frontend frameworks such as React or Angular. Develop and integrate AI-powered capabilities including intelligent assistants, agents, workflow automation, recommendation engines, and Generative AI solutions. Build reusable frameworks, services, APIs, and accelerators that improve engineering efficiency and support enterprise-wide adoption. Own technical delivery from concept to production, balancing speed, quality, and long-term sustainability. Collaborate with business stakeholders and product teams to understand requirements, validate solutions, and drive successful adoption. Lead rapid prototyping and proof-of-concept efforts to evaluate emerging technologies and AI use cases. Partner with platform and engineering teams to integrate successful solutions into enterprise platforms and shared services. Drive engineering excellence through automation, AI-assisted development, testing, CI/CD, observability, and modern software delivery practices. Required SkillsFull Stack Engineering12+ years of experience in software engineering, application development, or enterprise technology delivery. Strong expertise in Java, Spring Boot, distributed systems, microservices architecture, and API design. Hands-on experience with React, Angular, Remix, or similar modern frontend frameworks. Experience with relational and NoSQL databases, performance optimization, and scalable application design. Experience building and operating production systems in fast-paced environments. AI & Modern EngineeringExperience integrating AI/GenAI capabilities into enterprise applications. Experience in building applications using GenAI tools such as claude, copilot, or similar. Knowledge of LLMs, AI Agents, RAG, prompt engineering, and workflow automation. Familiarity with AI frameworks and platforms such as Azure OpenAI, LangChain, LangGraph, Claude, Gemini, or similar technologies. Leadership & CollaborationStrong technical judgment and ability to work effectively with engineers, architects, product teams, and business stakeholders. Ability to translate business requirements into technical solutions and drive execution with minimal supervision. Excellent communication, problem-solving, and stakeholder management skills. Strong ownership mindset and ability to operate effectively in dynamic environments. Cloud & DevOpsFamiliarity with CI/CD pipelines, GitHub Actions, etc. Understanding of software quality, security, reliability, and operational excellence. Experience with cloud-native application development and deployment is a plus.