Summary
Kaufman Lynn Construction is seeking an entry-level AI Analyst to support the company by developing and implementing practical AI-driven solutions. This role will focus on leveraging existing AI tools to enhance work accuracy, efficiency, and decision-making in real-world construction scenarios.
Responsibilities
- Develop and refine internal AI solutions using existing models and tools to support Preconstruction, Operations and other departments
- Build AI-based solutions that leverage historical estimating data to generate ROM budgets for prospective projects
- Design and optimize prompts, workflows, and AI-driven processes to create functional business solutions
- Translate business needs into practical AI use cases with working implementations
- Analyze project components, cost drivers, and trends across various sectors (e.g., multifamily, municipal, commercial)
- Collaborate with Preconstruction, Operations, Marketing, and other teams to identify and implement AI-driven solutions
- Monitor solution performance and continuously improve accuracy, usability, and business value
- Document processes, methodologies, and outputs for internal stakeholders
Skills
- Bachelor's degree in Artificial Intelligence, Data Science, Computer Science, or related field (recent graduates encouraged to apply)
- Foundational understanding of AI, machine learning concepts, and practical applications (not limited to model training)
- Experience with Python or similar programming languages
- Familiarity with data analysis tools and libraries (e.g., pandas, scikit-learn, etc.)
- Ability to work with structured and unstructured datasets
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts to non-technical audiences
- Experience with prompt engineering, AI tools, or building AI-driven workflows (academic or internship experience acceptable)
- Exposure to predictive modeling or data-driven decision tools
- Basic understanding of cloud platforms (AWS, Azure, or similar)
- Interest in construction, engineering, or real estate industries
Qualifications
Must Haves
- Bachelor's degree in Artificial Intelligence, Data Science, Computer Science, or related field (recent graduates encouraged to apply)
- Foundational understanding of AI, machine learning concepts, and practical applications (not limited to model training)
- Experience with Python or similar programming languages
- Familiarity with data analysis tools and libraries (e.g., pandas, scikit-learn, etc.)
- Ability to work with structured and unstructured datasets
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts to non-technical audiences
Nice to Haves
- Experience with prompt engineering, AI tools, or building AI-driven workflows (academic or internship experience acceptable)
- Exposure to predictive modeling or data-driven decision tools
- Basic understanding of cloud platforms (AWS, Azure, or similar)
- Interest in construction, engineering, or real estate industries