Lead Software Engineer (Java & AI-Driven Development)

NICE•Richardson, TX

23h•Hybrid

About The Position

We are seeking a Lead Software Engineer to join our Workforce Management (WFM) engineering team. In this role, you will provide technical leadership for the design, development, and delivery of scalable enterprise software solutions while helping drive our AI-first engineering transformation. You will lead architecture initiatives, guide engineering standards, mentor senior engineers, and champion AI-assisted development practices that improve speed, quality, and consistency across teams.

Requirements

12+ years of software engineering experience, including extensive Java web application development.
Proven experience leading architecture and technical initiatives across multiple teams.
Strong expertise in Java, Spring, Hibernate, REST APIs, JUnit, and Mockito.
Experience building and supporting complex enterprise-scale, multi-tier applications.
Demonstrated success influencing technical direction and driving alignment across stakeholders.
Hands-on experience with AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, or similar technologies.
Familiarity with agentic AI concepts, prompt engineering, tool integrations, and AI-enabled software development practices.
Experience with CI/CD, Test-Driven Development (TDD), and Agile/Scrum methodologies.
Strong analytical, troubleshooting, and communication skills.

Nice To Haves

Front-end development experience with Angular, JavaScript, HTML5, CSS, and Spring MVC.
Experience with end-end testing frameworks such as Selenium, Playwright, or Cucumber.
AWS cloud experience.
Experience with Maven, Jenkins, and Tomcat.
Experience leveraging AI for rapid prototyping, software delivery acceleration, and engineering innovation.

Responsibilities

Drive technical direction for major WFM capabilities and cross-functional initiatives.
Design and develop scalable, secure, and maintainable server-side solutions using Java technologies.
Define and promote architecture standards, engineering best practices, and reusable design patterns.
Lead design reviews, architectural decisions, and resolution of complex technical challenges.
Own and evolve AI-assisted development practices, including coding agents, workflows, tooling, guardrails, and quality metrics.
Translate complex business requirements into technical architecture, delivery plans, milestones, and measurable outcomes.
Lead root-cause analysis of critical production issues and drive long-term corrective actions.
Mentor engineers and technical leaders through coaching, reviews, and knowledge sharing.
Partner closely with Product, QA, Cloud, Security, Support, and Services teams to ensure successful delivery.
Evaluate emerging technologies and AI capabilities, recommending adoption based on business value and engineering impact.
Contribute to continuous improvement of Agile development practices and engineering excellence.