AI Engineer

A Fortune 500® company, EMCOR Group, Inc. (NYSE: EME) is a leader in mechanical and electrical construction, industrial and energy infrastructure, and building services. EMCOR companies plan, install, operate, maintain, and protect the sophisticated and dynamic systems that create facility environments—such as electrical, mechanical, lighting, air conditioning, heating, security, fire protection, and power generation systems—in virtually every sector of the economy and for a diverse range of businesses, organizations, and government.

The AI Engineer is responsible for designing, developing, implementing, and supporting practical artificial intelligence solutions that improve business processes, increase productivity, and enable responsible AI adoption across EMCOR.

This hands-on role will build and integrate AI capabilities, including generative AI applications, automation workflows, retrieval-augmented generation solutions, AI agents, and model-enabled business processes.

The AI Engineer will partner directly with EMCOR Operating Companies and corporate departments to identify use cases, develop reusable patterns, support implementation efforts, and help teams adopt AI capabilities in a secure, scalable, and supportable manner.

This role will also work closely with the AI Security Engineer to ensure AI solutions follow approved security architecture, data protection requirements, governance processes, and responsible AI standards.

This role reports to the VP of Information Technology and is fully remote.

The principal duties and responsibilities include, but are not limited to:

• Design, develop, test, deploy, and support AI-enabled solutions that address business needs across EMCOR and its Operating Companies
• Build practical AI capabilities including generative AI applications, AI agents, workflow automation, document intelligence, natural language interfaces, and retrieval-augmented generation solutions
• Partner with Operating Company leaders, corporate departments, and IT teams to identify high-value AI use cases, define requirements, prototype solutions, and support implementation
• Create reusable AI solution patterns, implementation guidance, technical documentation, and reference examples that Operating Companies can adopt and extend
• Integrate AI capabilities with approved enterprise platforms, applications, APIs, data sources, and automation tools
• Develop and maintain prompt engineering standards, evaluation approaches, testing routines, and quality controls for AI outputs