AI-Native Java Full Stack Engineering Lead

Job Description

About the Role

We are looking for a hands-on engineering leader to transform how our Java full stack teams build software, moving them from traditional development practices to an AI-native engineering model. This leader will work with our client to build the strategy, tooling, and cultural shift required to embed AI agents and copilots into every stage of the software development lifecycle, from requirements and design through coding, testing, and deployment.

This is not a "add Copilot licenses" role. It's a mandate to fundamentally redesign how a Java engineering organization plans, builds, and ships — treating AI agents as first-class collaborators alongside human engineers, with new workflows, new quality gates, and new skills to match.

Key Responsibilities

• Define the AI-native engineering vision for Java full stack delivery (Spring Boot/Spring Cloud, Angular/React, microservices, cloud-native architectures), including target-state workflows, tooling stack, and adoption roadmap.
• Lead tool selection and integration across AI coding assistants, agentic dev environments, automated code review, and AI-assisted testing/QA pipelines — ensuring interoperability with existing CI/CD, IDEs, and version control.
• Redesign SDLC processes to incorporate AI agents at each phase: requirements decomposition, code generation, unit/integration test generation, code review, refactoring, documentation, and incident triage.
• Build and lead a center of excellence (or working group) for AI-native Java development, including reusable prompt libraries, agent configurations, coding standards for AI-assisted output, and governance for AI-generated code quality and security.
• Upskill the engineering workforce, developing training curricula and hands-on enablement programs to shift developers from traditional coding to AI-orchestrated development (prompt engineering, agent supervision, code review of AI output).
• Estab