Lead Software Engineer - AI & Agentic Systems

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies () , and through our businesses including Trane® () and Thermo King () , sustainability is not just how we do business—it is our business.

Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.

Learn about our benefits () designed for you to Thrive at work and at home.

We boldly go.

Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

This role offers the opportunity to build real enterprise AI solutions while working at the leading edge of how software development is changing.

You will apply modern AI coding tools and agentic development practices to real product delivery, not just experimentation. You will help determine what works, where the risks are, how quality should be maintained, and how these practices can scale in an enterprise environment.

In this role, you will have the opportunity to:

• Deliver AI solutions that address real employee and enterprise needs

• Work hands-on with agents, integrations, orchestration patterns, and emerging AI technologies

• Apply coding assistants and agentic coding practices to production-oriented software delivery

• Build reusable components and technical patterns based on real delivery work

• Help shape scalable, enterprise-ready AI delivery practices that make future AI solutions faster, safer, and more consistent to build

As Lead Software Engineer – AI & Agentic Systems, you will:

• Design, build, test, deploy, and support AI-enabled solutions for real enterprise use cases

• Translate product needs, business requirements, and technical concepts into working software that delivers measurable value

• Design and integrate models, agents, tools, workflows, APIs, enterprise systems, cloud services, and user experiences into reliable AI-enabled applications

• Apply emerging AI patterns such as agents, tool-calling, MCP, A2A, agent frameworks, and context engineering where they create practical value

• Design cloud-based solutions with attention to scalability, reliability, security, maintainability, and operational support

• Move AI capabilities from concept, prototype, or pilot into production-ready solutions

• Use coding assistants and agentic coding practices as part of the development and delivery process

• Establish and share reusable components, agent capabilities, and engineering patterns that improve the speed, quality, reliability, and consistency of future AI delivery

• Provide technical leadership to other developers by guiding design decisions, reviewing implementation approaches, mentoring on best practices, and helping establish engineering standards

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent work experience

• 7+ years of professional software development experience, including experience in a senior, lead, or highly independent developer role

• Strong programming experience in one or more modern application development languages such as Type Script, JavaScript, Python, C#, or Java

• Experience designing, building, testing, deploying, and supporting production software

• Experience building backend services, APIs, integrations, or full-stack application features

• Experience designing and building cloud-based applications on at least one major cloud platform such as Azure, GCP, or AWS

• Experience providing technical leadership through design guidance, code review, mentoring, or establishing engineering standards

• Experience applying coding assistants or agentic coding practices in structured software delivery workflows

• Experience building AI-enabled applications, including agents, tool-calling workflows, orchestration layers, or multi-agent systems

• Experience integrating models,…