GenAI Solutions Intern
About The Position
Computer science, information technology, and data science majors need not apply as candidates outside core engineering will not be considered. This internship is designed for students in core engineering disciplines who want to apply generative AI (GenAI) as a practical tool to advance engineering and project delivery. The successful candidate will bring foundational engineering knowledge to bear on real design and construction challenges and will use AI to accelerate analysis, improve documentation quality, and enhance decision-making. This is not a software development or IT role. Rather, it is an engineering internship where domain expertise comes first and GenAI is used as a force multiplier. You will collaborate with engineers, project managers, and technical teams to frame engineering problems correctly, run calculations and checks, interpret codes and standards, and use AI to assist with tasks such as technical synthesis, project planning, deep research, and early-stage prototyping. Work will be tailored to design and construction projects for factories, infrastructure, and buildings in the US. Work will be primarily within Microsoft Copilot with GPT5, leveraging its reasoning and agentic capabilities.
Requirements
- Enrolled in a Bachelor's or Master's program in an ABET-accredited engineering discipline such as chemical, civil, environmental, structural, mechanical, industrial, or materials engineering or a closely related field with comparable core engineering coursework.
- Demonstrated foundation in engineering fundamentals.
- Basic understanding, curiosity and passion for GenAI use in support of engineering tasks.
- Strong analytical and communication skills with care for traceability, engineering judgment, and safety.
- Ability to collaborate with diverse teams and manage multiple tasks in a project environment.
Nice To Haves
- Interest in construction, infrastructure, or industrial engineering is advantageous.
Responsibilities
- Work with teams to identify and document AI use cases and workflows grounded in engineering, design, and construction needs.
- Apply engineering fundamentals to scope problems, perform calculations and checks, and translate requirements into clear technical deliverables.
- Develop, test, and optimize AI prompts to support technical writing, drawing reviews, specification analysis, and submittal workflows.
- Assist in evaluating new AI capabilities that augment engineering tasks such as process modeling, engineering analysis, structural concepting, constructability, and cost estimation.
- Collaborate with cross-functional teams to gather data, prototype solutions, and evaluate performance metrics relevant to engineering outcomes such as accuracy, safety margins, and schedule impact.
- Document methods and assumptions, maintain records of ongoing experiments, and present recommendations and limitations to stakeholders.
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
