Lead AI & Agentic Systems Engineer

Trane Technologies; Tyler (TX); On-site; 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 seeks a Lead Software Engineer – AI & Agentic Systems to design, build, and scale AI-enabled enterprise software. You will translate business needs into production-grade solutions, integrating models, agents, and cloud services.

You will lead design decisions, mentor peers, and establish engineering standards while advancing scalable, secure, and reliable AI delivery across platforms.

Qualifications

• Bachelor’s degree or equivalent work experience in CS/SE.
• 7+ years of professional software development including senior/lead roles.
• Experience designing, building, testing, deploying, and supporting production software.

Responsibilities

• Design, build, test, deploy, and support AI-enabled solutions for real enterprise use cases
• Translate product needs and technical concepts into working software delivering measurable value
• Integrate models, agents, tools, workflows, APIs, and cloud services into AI-enabled applications
• Apply AI patterns such as agents, tool-calling, MCP, A2A, and context engineering where valuable
• Design cloud-based solutions focusing on scalability, reliability, security, and maintainability
• Move AI capabilities from concept to production-ready solutions
• Use coding assistants and agentic coding practices in delivery workflows
• Establish reusable components and engineering patterns to improve speed, quality, and consistency of AI delivery
• Provide technical leadership through design guidance, code reviews, mentoring, and standards

Skills

TypeScript

JavaScript

Python

C#

Java

Cloud platforms

Technical leadership

Education

Bachelor’s degree in Computer Science or Software Engineering

Tools

Azure

GCP

AWS

Job description

Trane Technologies seeks a Lead Software Engineer – AI & Agentic Systems to design, build, and scale AI-enabled enterprise software. You will translate business needs into production-grade solutions, integrating models, agents, and cloud services.

You will lead design decisions, mentor peers, and establish engineering standards while advancing scalable, secure, and reliable AI delivery across platforms.