Forward Deployed Engineer – MEP Design

Forward Deployed Engineer– MEP Design

Remote – work virtually from anywhere in the United States

AI2IO recognizes salary ranges from job boards do not necessarily reflect our pay ranges. In many instances we out-compete those ranges for well-qualified candidates.

The Forward Deployed Engineer – MEP Design is a hands-on, execution-focused role within AI2IO, embedded with the MEP Design department of DLB Associates and its family of affiliate companies. Working on a forward-deployed model, this individual is employed by AI2IO but works with and for the design teams day to day, turning the department’s priorities into working AI tools, workflows, and processes that engineers and designers use on real projects.

• →Drafting and editing specification sections, and checking specifications against drawings and the project basis of design.
• →Automated QA/QC checks on drawing sets and markups, including consistency checks across disciplines.
• →Verification support for engineering calculations and equipment schedules.
• →Generating basis-of-design narratives, design reports, and meeting summaries from project inputs.
• →Supporting RFI and submittal review workflows during construction administration.
• →Supporting proposal, scope, and fee development.

• Work alongside Design department leaders to understand priorities and the roadmap, then break those priorities into scoped, buildable deliverables with clear success criteria.
• Work directly with engineers and designers to understand current workflows, pain points, and where AI can remove effort without compromising quality.
• Provide Design leadership with honest, practical input on feasibility, effort, and tradeoffs, and recommend roadmap adjustments based on what is learned in the field.
• Represent the Design department’s perspective within AI2IO, helping AI2IO teams understand the realities of MEP consulting, including professional liability, QA/QC expectations, project deadlines, and fee constraints.

• Design every solution with human review built in, so that engineers remain in control of and accountable for all engineering judgment and deliverables.
• Test tools against real project data and known-correct results before release, and clearly document limitations so users know when not to rely on them.
• Protect client and project confidentiality in how data is used, stored, and shared across AI platforms.

• Train engineers and designers on the tools built for them through working sessions, short guides, and office hours, meeting teams where they are.
• Capture user feedback and platform issues, and use them to prioritize improvements.
• Track adoption, usage, and time saved to demonstrate measurable value, and report progress to Design leadership and AI2IO.
• Surface platform gaps, governance concerns, and feature requests to AI Enablement Program Manager based on field observations.
• Document solutions, prompts, and workflows so they can be supported, reused, and scaled across teams.
• Partner with the AI Enablement Program Manager to convert successful solutions into reusable patterns, case studies, and training materials.
• Stay current on the latest AI advancements, industry tools, and best practices—including new platform features, commercially available AEC and MEP AI products, and emerging methods—through ongoing learning, vendor evaluations, and industry engagement, and bring forward practical opportunities to Design leadership.

• Performs Other Related Duties as Assigned

• Strong working knowledge of MEP consulting engineering, including design phases, construction document production, specifications, calculations, coordination, and QA/QC processes.
• Understanding of the professional responsibility carried by the Engineer of Record and how it shapes the ways AI can and cannot be used in engineering deliverables.
• Demonstrated, hands-on experience building AI-enabled tools or workflows using LLM platforms such as Claude, Microsoft 365 Copilot, or similar, including prompt and workflow design, agents, and evaluating output quality.
• Experience evaluating, selecting, and configuring commercially available software and AI tools, with sound judgment about when to adopt an off-the-shelf solution and when to escalate for custom development.
• Scripting proficiency in Python or a comparable language, with the ability to automate tasks, work with APIs, and process project data.
• Working knowledge of Revit and Bluebeam Revu; experience with the Revit API, Dynamo, or pyRevit is strongly preferred.
• Familiarity with the Microsoft ecosystem, including SharePoint, Teams, Power Automate, Copilot Studio, and Azure AI Foundry, is preferred.
• Experience building retrieval-augmented generation (RAG) solutions over document libraries is a plus.
• Bias toward action, with the ability to take a defined priority from idea to working tool quickly and then iterate based on real use.
• Clear communicator with engineers, designers, and IT professionals alike, able to translate between design and technical perspectives.
• Comfort working independently within a dual-reporting structure, balancing Design department priorities with AI2IO standards.
• Data center or mission critical design experience is preferred.
• Demonstrated ability to leverage AI tools to enhance personal productivity and quality of work output.
• Demonstrated commitment to continuous learning, with a track record of staying current on AI advancements, AEC industry tools, and emerging best practices.

• Up to 10%, this may include travel to any or all 50 US states, primarily for on-site working sessions with design teams
• Travel is defined as physically leaving home on behalf of business activities including but not limited to client sites, meetings with other employees, meeting for business development purposes, running errands on behalf of the business, attending industry conferences, etc.

• Minimum of 5 years of experience in MEP consulting engineering or design, including at least 2 years of hands-on experience building automation, scripting, or AI-enabled tools, whether in a formal role or self-driven.

• Bachelor’s degree in Mechanical, Electrical, or Architectural Engineering, or a related discipline. EIT or PE licensure is a plus but not required.

AI2IO does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to AI2IO in the absence of a signed Service Agreement where AI2IO has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of AI2IO and AI2IO will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.