Lead Software Engineer - AI & Agentic Systems

About the role

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.

Where Is The Work

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

What's In It For You

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

What You Will Do

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

Minimum Qualifications

What you will bring:

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 TypeScript, 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

Preferred Qualifications

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

Experience integrating models, tools, data sources, APIs, and user workflows into reliable application experiences

Familiarity with emerging AI patterns such as MCP, A2A, agent frameworks, or context engineering approaches

Experience working across multiple cloud platforms

Annual Base Salary Range Or Hourly Base Pay Range

$156,528.33 - $199,300.00

Compensation Type

Salary

Incentive Eligible

Yes

Sales Commission Eligible

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

Thrive At Work And At Home

Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!

Family building benefits include fertility coverage and adoption/surrogacy assistance.

Paid time off includes up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave.

401K match up, educational and training opportunities through company programs along with tuition assistance and student debt support.

Disclaimer: Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations

Safety Sensitive Role

No

The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.