Note: The job is a remote job and is open to candidates in USA. Louisiana Economic Development is seeking an AI-Native Java Full Stack Engineering Lead to transform Java full stack teams into an AI-native engineering model. The role will define AI-native strategies, integrate AI agents and copilots across the software development lifecycle, establish governance and quality standards, and lead workforce enablement and adoption.
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)
- Establish quality, security, and governance guardrails for AI-generated code — including IP/licensing risk, secure coding practices, hallucination detection, and human-in-the-loop review gates
- Define and track success metrics: developer velocity/throughput, code quality (defect rates, test coverage), cycle time reduction, and cost-to-serve improvements attributable to AI-native practices
- Partner cross-functionally with delivery leads, account teams, security/compliance, and client stakeholders to pilot AI-native delivery on live engagements and scale what works
- Stay current on the evolving landscape of AI coding agents, frameworks, and best practices, and continuously evolve the playbook
Skills
- 10+ years of software engineering experience, with deep hands-on expertise in Java, Spring Boot/Spring Framework, and full stack development (front-end frameworks such as Angular or React, REST/microservices, relational and NoSQL data stores)
- 3+ years in an engineering leadership role (architect, engineering manager, or technical director) leading teams of 10+ engineers
- Demonstrated hands-on experience integrating AI coding assistants or agentic tools (e.g., GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, or similar) into real development workflows — not just evaluation, but production adoption
- Strong understanding of modern CI/CD, DevSecOps practices, and cloud-native architecture (AWS, Azure, or GCP)
- Experience designing or redesigning engineering processes/playbooks at scale (multiple teams or a large program)
- Excellent communication skills — able to translate technical AI-adoption strategy into business outcomes for both engineering staff and executive stakeholders
- Experience in a consulting/services environment, delivering to external clients under contractual SLAs
- Familiarity with LLM/agent orchestration frameworks (LangChain, MCP, agent-to-agent protocols) and prompt engineering best practices
- Experience establishing governance frameworks for AI-generated code (security scanning, IP risk, model output validation)
Benefits
- Flexible remote/hybrid work arrangement in New Orleans, LA
Company Overview