Construction AI Engineer

Kokosing • Westerville, OH

3d • Hybrid

About The Position

Kokosing is seeking a Construction AI Engineer. This individual will serve as a strategic partner between Technology and Innovation (T&I), IT, and business units to support the implementation of intelligent tools, copilots, and agentic workflows to automate processes and solve real-world problems in the construction industry in alignment with organizational objectives. This individual will bridge the gap between software development and practical/applied AI, integrating predictive models and Generative AI into live project execution and enterprise operations. The Construction AI Engineer will report to the Director of Construction Technology and Innovation and have daily interaction with operational leaders and the IT department.

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Engineering, Data Science, or a related technical field.
• 5+ years of experience in hands-on software engineering or AI/ML engineering, with a proven track record of shipping AI-enabled applications in a production setting.
• Hands-on experience with AI frameworks for orchestration (e.g., LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex).
• Strong Python engineering fundamentals and experience with major enterprise cloud platforms and vector databases (e.g., Azure, Databricks, Snowflake, Palantir).
• Excellent ability to present technical goals and non-trivial concepts to non-technical audiences

Nice To Haves

• Knowledge of Architecture, Engineering, and Construction (AEC) technology stacks, Digital Twins, or Building Information Modeling (BIM) is highly preferred.

Responsibilities

• Build AI Agents & Automations: Design and implement intelligent workflows using LLMs, function calling, agentic AI and multi-agent patterns, and retrieval architectures.
• System Integration: Integrate AI capabilities into enterprise systems and field applications (e.g., Procore or Autodesk) to support real-world adoption and measurable value. Partnering with engineers and analysts working on safety, operations, scheduling, and risk to turn agentic capabilities into tools Superintendents, PMs, & PEs use.
• Testing & Evaluation: Build rigorous evaluation infrastructure, golden datasets, and testing harnesses for non-deterministic AI systems to guarantee reliability and compliance.
• Data Management: Work with structured and unstructured construction data, building retrieval systems that span vector search and knowledge graphs over complex project data.
• Stakeholder Collaboration: Partner with domain experts (project managers, superintendents, and safety directors) to refine requirements and turn agentic capabilities into usable daily tools.
• Model Governance: Ensure AI solutions meet corporate standards for security, privacy, and responsible AI practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior