Construction AI Engineer

Kokosing (www.kokosing.biz) is one of America's 50 largest General Contractors and services a broad spectrum of clients in both the private and public business sectors. Kokosing's services include heavy civil/industrial construction such as highways, bridges, underground utilities, water/wastewater facilities, and marine construction. For over 75 years, Kokosing has successfully attracted the most qualified technical personnel in the construction industry by offering visible challenges, superior quality, and attractive rewards. With over $2.8 billion in annual sales and a commitment to its workforce, Kokosing is the winning team. Job Description 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. Organizational Culture The Construction AI Engineer will embody and reinforce the organization's core cultural values, including: • Customer-focus - We are passionate about building long-term customer relationships (internal and external). Our culture allows us to respond to our customers with turnkey solutions and quality results. Our goal is to exceed expectations safely and securely. • Shirt-sleeve management - We believe "None of Us is as Smart as All of Us". We have a leadership mindset that together we can accomplish anything. We collectively roll up our sleeves and deliver quality results safely, and on time. We don't just watch someone dig the hole; we jump in to help them start digging it. • Financially strong - We make decisions for the long term. We analyze risk and implement smart strategies that allow us to reinvest profits back into the company and secure resources that help make us a better construction partner and industry leader. • Innovation mindset - Innovation is a key focus of our organization and embodies both our cultural mindset in optimizing our business and being a leader in the community and the nation. Key Responsibilities This role focuses on translating business and field needs into working solutions - from intelligent workflows and copilots to agentic-based tools and AI-enabled applications for the construction sector. You will develop robust systems that function reliably within the high-stakes, risk-management environment of physical construction. Together, we will build and deliver practical AI solutions that drive automation, productivity, and business value. • 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. Qualifications & Skills • Education: Bachelor's or Master's Degree in Computer Science, Engineering, Data Science, or a related technical field. • Experience: 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. • AI & Orchestration Tools: Hands-on experience with AI frameworks for orchestration (e.g., LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex). • Programming & Cloud: Strong Python engineering fundamentals and experience with major enterprise cloud platforms and vector databases (e.g., Azure, Databricks, Snowflake, Palantir). • Construction Knowledge: Knowledge of Architecture, Engineering, and Construction (AEC) technology stacks, Digital Twins, or Building Inform