AI Automation Technical Leader
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 8, 2026. Trane Technologies scores B on the Alion truth index.
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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:
The AI/Automation Technical Leader - AI and Agentic Solutions is a hands-on delivery leader role responsible for designing, building, deploying, and scaling AI- and automation-enabled solutions within Trane Technologies. This role turns business and employee needs into working AI and Automation solutions by designing and delivering agents, backend services, APIs, integrations, orchestration logic, and reusable technical components
This role requires strong software engineering, solution architecture, automation, and applied AI expertise, along with the ability to partner closely with stakeholders to turn business opportunities into production-ready solutions. The individual in this role will help move AI capabilities from concept to production while ensuring solutions are scalable, secure, reliable, maintainable, and reusable components that support enterprise adoption.
The ideal candidate is a strong technical practitioner who works on building working software, applying emerging AI technologies to practical enterprise use cases, and helping shape the engineering practices needed to deliver AI solutions safely and effectively at scale. The candidate works effectively with business and functional teams to shape use cases, develop prototypes. This role will use coding assistants and agentic coding practices as part of the delivery process while maintaining quality, security, reliability, and control.
Success in this role will come from delivering production-ready AI solutions that provide real business value while improving the speed, quality, and repeatability of future AI delivery, and the advancement of the organization’s AI and automation capabilities
This role offers the opportunity to build real enterprise AI and Automation solutions.
You will apply modern Automation, 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:
- Build high-impact AI and automation solutions for enterprise needs
- Work hands-on with agentic AI, orchestration frameworks, integrations, enterprise systems, and automation platforms
- Apply coding assistants and agentic coding practices to production-oriented software delivery
- Build reusable components, delivery patterns, and technical standards that improve speed, quality, and scalability
- 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 AI/Automation Technical Leader - AI and Agentic Solutions, you will:
- Design, build, test, deploy, and support AI- and automation-enabled solutions for 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
- Build solutions using agentic AI capabilities such as agents, tool-calling, orchestration, prompt workflows, context management, retrieval patterns, and human-in-the-loop controls
- 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
- Apply automation and AI engineering practices across solution delivery, including reusable services, frameworks, templates, and accelerators
- 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
What you will bring:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or equivalent practical work experience
- 12+ years of experience in software engineering, automation, solution development, or related technical roles
- 3+ years of experience in a technical lead, solution lead, or senior hands-on IT lead role
- Strong programming experience in one or more modern languages such as Python, TypeScript, JavaScript, Java, or C#
- Experience designing, building, testing, deploying, and supporting production-grade applications or automation solutions
- Experience building backend services, APIs, integrations, workflows, and enterprise application solutions
- Experience working with cloud platforms such as Azure, AWS, or GCP
- Experience partnering directly with business stakeholders to shape requirements and deliver technical solutions
- Experience providing technical leadership through design guidance, mentoring, implementation reviews, and engineering standards
- Strong problem-solving skills, with the ability to balance speed, quality, risk, and business value
Preferred Qualifications
- Experience building AI-enabled applications using LLMs, agents, tool use, orchestration frameworks, retrieval workflows, or multi-step reasoning patterns
- Experience applying agentic AI capabilities to enterprise use cases in operations, service, support, engineering, HR, finance, procurement, or other corporate functions
- Familiarity with emerging AI patterns such as MCP, A2A, agent frameworks, memory patterns, context engineering, and evaluation techniques
- Experience integrating AI solutions with enterprise systems such as ERP, CRM, HR, ITSM, collaboration platforms, or data platforms
- Understanding of responsible AI, security, governance, compliance, and risk considerations in enterprise environments
- Experience developing reusable accelerators, frameworks, or technical assets that improve delivery consistency and scale
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.