AI Engineer

Reposted Yesterday
Hiring Remotely in USA
Remote
135K-168K Annually
Senior level
Energy Construction
The Role
Design, develop, deploy, and support AI solutions including generative AI applications, agents, workflow automation, document intelligence, and retrieval-augmented generation. Partner with business and IT teams to identify use cases, integrate enterprise platforms and data sources, establish prompt and evaluation standards, support AI governance and security, monitor solution performance, and train employees on responsible AI adoption.
Summary Generated by Built In

EMCOR Group Inc. (NYSE:EME), a Fortune 500® company with 2025 revenues of almost $17B, is a leader in mechanical and electrical construction, industrial and energy infrastructure, and building services.

 A provider of critical infrastructure systems, EMCOR companies give life to new structures and sustains life in existing ones by its planning, installing, operating, maintaining and protecting 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.

 EMCOR’s strong financial position has enabled us to attract and retain among the best local and regional talent, to undertake and complete the most ambitious projects, and to redefine and shape the future of the construction and facilities services industry.

Here are EMCOR, we're driven by values. We use them as a metric, a guideline, a way to ensure that each activity we engage in is aligned with the principles we believe in.  We are mission first, people always, and we hope you join our team!

General Summary

As part of the Corporate IT team, 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.

Principal Duties and Responsibilities

• 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.

Job Specifications

• 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, TypeScript, PowerShell, 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

• Familiarity with Microsoft 365, Azure, Power Platform, Copilot Studio, GitHub, M365 Copilot and Agents or comparable enterprise AI and development platforms preferred

• Understanding of data protection, access control, Secure Software Development Lifecycle guidelines, secure development practices, and responsible AI principles

• Ability to translate business requirements into practical technical solutions and explain AI capabilities, limitations, and risks to technical and non-technical stakeholders

• Ability to effectively communicate and interact with personnel at all levels, including EMCOR executive management, operating company leadership, IT teams, Security, Legal, Risk, and other business users

• Must be capable of delivering a very high level of customer service

Disclaimer

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

Other

As a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, we offer employees a competitive salary and benefits package and we are always looking for individuals with the talent and skills required to contribute to our continued growth and success.  Equal Opportunity Employer/Veterans/Disabled

Compensation Range:  $135,000-$168,00 annually

Other Compensation:   This position is bonus eligible

Benefits:   We are committed to providing employees a comprehensive benefits package which includes medical, dental, and vision coverage, along with health savings and flexible spending accounts, life insurance, disability, a 401(k) Savings Plan, College Coach and employee assistance program.

Skills Required

  • At least five years of experience in software engineering, application development, data engineering, automation, or related technology implementation roles.
  • At least two years of 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, TypeScript, PowerShell, 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.
  • Familiarity with Microsoft 365, Azure, Power Platform, Copilot Studio, GitHub, M365 Copilot, and Agents or comparable enterprise AI and development platforms.
  • Understanding of data protection, access control, secure software development lifecycle guidelines, secure development practices, and responsible AI principles.
  • Ability to translate business requirements into practical technical solutions and explain AI capabilities, limitations, and risks to technical and non-technical stakeholders.
  • Ability to communicate and interact effectively with executives, operating company leadership, IT, Security, Legal, Risk, and business users.
  • Ability to deliver a very high level of customer service.
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The Company
44,970 Employees

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