Lead Software Engineer - AI & Agentic Systems

Trane Technologies; Davidson (NC); Hybrid; USD 157,000 - 199,000; Full time

Benefits offered by this job

Health Insurance

401K Match

Tuition Assistance

Paid Time Off

Job summary

Trane Technologies is seeking a senior software engineer to design, build, and deploy enterprise AI-enabled solutions. You will work across models, agents, tools, workflows, and APIs to deliver production-ready software at scale.

Required are 7+ years of experience in modern languages (TypeScript, JavaScript, Python, C#, Java) and cloud platforms (Azure/AWS/GCP). The role offers hybrid onsite work with strong leadership opportunities.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent work experience.
• 7+ years of professional software development experience in senior/lead roles.
• Strong programming experience in TypeScript, JavaScript, Python, C#, or Java.
• Experience designing, building, testing, deploying, and supporting production software.
• Experience building backend services, APIs, or full-stack features.
• Experience creating cloud-based applications on Azure, AWS, or GCP.
• Technical leadership through design guidance, code reviews, mentoring, or standards.

Responsibilities

• Design, build, test, deploy, and support AI-enabled solutions for enterprise use cases.
• Translate product needs and technical concepts into working software with measurable value.
• Design and integrate models, agents, tools, workflows, APIs, and cloud services.
• Apply emerging AI patterns and ensure scalable, reliable deployments.
• Design cloud-based solutions with scalability, security, and maintainability in mind.
• Move AI capabilities from prototype to production-ready solutions.
• Provide technical leadership and establish engineering standards.

Skills

TypeScript

JavaScript

Python

C#

Java

Education

Bachelor's degree in Computer Science or equivalent

Tools

Azure

AWS

GCP

Job description

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

• 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.