Structural Engineer - AI-Driven Design & Revit Automation
Listed on 2026-08-03
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Software Development
AI Engineer (Applied/Software)
We’ve grown our architecture capabilities: the SHYFT design team has joined SSOE. Discover how this enhances our services. [Learn More ]
ACC AI Assistant Accelerating Project Clarity with AI-Driven Specification SearchAutodesk Construction Cloud (ACC) is SSOE’s enterprise-wide project delivery platform. We partner with the Autodesk Product team and have research access. Use of the AI Assistant allows our design teams, owners, and general contractors the ability to query the project specifications for quality, answers, and more rapid responses to RFIs, submittals, or issues.
AI Knowledge Retention Lessons learned shouldn’t disappear when people move onSSOE has developed a proof-of-concept to use an AI Agent to act as a Master Engineer and Architect trained in SSOE’s processes, best‑known-methods, and trainings. Our data structure is being remodeled to enable better use of our proprietary knowledge to train the agent on the ‘SSOE way’.
Agentic Automation Empowering Teams with AI-Driven WorkflowsSSOE is actively piloting AI Chat large language models (LLMs) or copilots that use Natural Language Processing (NLP) to streamline both design and development tasks, transforming how our teams interact with software and each other.
By integrating chat LLM engines into platforms like Revit, we’re enabling users to prompt complex actions using simple, conversational commands. In Revit, this means automating tasks such as modeling elements, cleaning up parameter data, managing annotations and dimensions, and organizing sheets—without writing scripts. These automations and quality prompts can be shared across project teams, accelerating workflows and reducing manual effort.
Similarly, our internal Software Development Community is leveraging Git Hub Copilot to expedite coding tasks. Developers can generate and refine code using NLP prompts, tapping into Git Hub’s extensive Repo to move faster from concept to implementation.
Together, these tools represent a shift from traditional, expert-driven scripting to intuitive, AI-assisted automation, unlocking new levels of efficiency and scalability across our projects.
Autodesk FormaWe helped our client visualize and optimize façade design for occupant comfort—long before breaking ground through the use of the Autodesk Forma tool. It allows the designer to rapidly experiment with the building’s geometry and façade design to promote sustainability, prioritizing quality of spaces and comfort for end uses, especially in extreme climates (day lighting and microclimate analysis tools) at the project’s exact geographic location, using location‑specific environmental data.
SSOE is utilizing Microsoft Copilot Edge and M365 to significantly enhance work efficiency and accuracy across various departments. Copilot is accessible to all staff after training. Key areas of application include using it as a writing assistant, for idea generation, document summarization and generation, research assistant, excel assistant, programming code assistant, language translations, product comparison and data analysis. Use of Copilot has become part of the everyday life of SSOE employees who have identified key ways it can help them become more efficient with their daily tasks as well as more accurate in their deliverables.
Today, 100% of SSOE employees have taken the voluntary training and have access to Copilot Edge, achieving early our October 1, 2025 goal.
In-House Resource Planning Tool A solution to one of the AEC industry’s toughest challengesWe found ourselves in need of a more robust tool to enhance resource forecasting and staff assignment capabilities. Instead of waiting for the perfect tool, we’re building it. SSOE’s in‑house technology team has developed and piloted a tool that aims to forecast optimal staff mix and duration for new projects against existing workload to better understand capacity and manage resources efficiently.
Additionally, the tool will allow teams to identify gaps to optimal staff mix.
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