Trane Technologies is seeking to accelerate innovation, optimize product development, and enable operational excellence at scale through the strategic adoption of artificial intelligence in engineering.
Requirements
- Familiarity with Model-Based Systems Engineering and simulation of complex systems.
- Strong programming skills in Python and other relevant languages.
- Demonstrated ability to deliver rapid prototypes, MVPs, and production-grade solutions using agile/iterative methodologies
- Deep understanding of modern software development practices, including DevOps, CI/CD, and software architecture.
- Experience with engineering and manufacturing processes, ideally in industrial AI applications.
- Strong change management and stakeholder adoption experience.
- Experience in research and intellectual property portfolio management; patents/publications a plus.
Responsibilities
- Set the enterprise-wide vision for AI in Engineering, in partnership with executive leadership and key stakeholders.
- Champion the execution and deployment of global AI engineering projects to accelerate adoption of AI technologies across products and engineering processes.
- Lead enterprise-wide AI governance structures, including oversight of data science and generative AI initiatives via the Data Science Steering Committee.
- Integrate generative AI, machine learning, and advanced data management into modern software practices (DevOps, CI/CD).
- Architect advanced engineering workflows and systems, driving continuous improvement and breakthrough innovation in design, testing, and manufacturing.
- Anticipate and evaluate emerging trends in AI, proactively identifying disruptive technologies and translation opportunities for engineering and manufacturing domains.
- Translate complex, ambiguous business challenges into actionable requirements, prioritizing high-impact projects and delivering clear, risk-mitigated plans.
Other
- BS in Engineering, Computer Science, or related STEM discipline required; MS or PhD, highly preferred.
- 10+ years of experience in technical leadership roles, with documented success in building and leading international engineering or AI teams.
- Ability to travel up to 10%, including internationally
- Exceptional communication and leadership skills.
- Ability to collaborate and influence at all levels of the organization.
