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AI Engineer
Job in
Norwalk, Fairfield County, Connecticut, 06860, USA
Listed on 2026-10-23
Listing for:
EMCOR Group
Full Time
position Listed on 2026-10-23
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
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.
Job Summary
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.
Essential Duties & Responsibilities
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
Work with the AI Security Engineer to ensure AI solutions meet EMCOR security requirements, including data protection, access control, logging, monitoring, prompt and response filtering, and approved architecture patterns
Ensure AI solution development follows EMCOR Secure Software Development Lifecycle guidelines, including security requirements, design reviews, secure coding practices, testing, validation, documentation, and release readiness
Support AI governance processes by documenting solution purpose, data sources, risks, controls, expected outputs, limitations, and operational ownership
Monitor implemented AI solutions for performance, reliability, usage, cost, quality, and business value; recommend improvements as needed
Stay current on emerging AI technologies, enterprise AI platforms, development frameworks, and implementation best practices; translate relevant advancements into practical EMCOR use cases
Provide training, guidance, and practical support to EMCOR employees on the effective and responsible use of approved AI tools, including appropriate use cases, prompting and development, productivity best practices, and data protection requirements.
Qualifications
Five years minimum experience in software engineering, application development, data engineering, automation, or related technology implementation roles
Two years minimum hands-on experience developing or implementing AI, machine learning, generative AI, automation, or advanced analytics solutions
Experience with one or more programming or scripting languages such as Python, JavaScript, Type Script, Power Shell, or SQL Working knowledge of generative AI concepts, large language models, prompt engineering, retrieval-augmented generation, APIs, and AI solution evaluation
Experience integrating applications, data sources, APIs, automation workflows, and cloud services
Deep experience with Microsoft 365 Chat and Agents, Azure AI, Power…
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