Corporate AI Specialist

Position Overview

As a Corporate AI Specialist, you will develop and implement AI driven solutions to optimize engineering workflows, enhance predictive modeling, and improve decision-making across the enterprise. You'll collaborate with IT leadership, engineers, surveyors, project managers and corporate team members to bring intelligent automation and data insights into real-world applications. These applications will be both internal and external client facing. This position can be located in either Raleigh or Tampa.

What

to Expect Day-to-DayAI Solution Development & Implementation

• Quickly develop, prototype, and implement selected project ideas
• Develop a toolbox of AI tools that can be used to create AI-based agents and applications
• Develop client-facing AI tools and workflows that can be integrated into project delivery

Platform Integration & Technical Enablement

• Integrate AI tools with BIM (Building Information Modeling) and GIS platforms
• Ensure compatibility of AI solutions with operational systems like SCADA, telemetry, CMMS, and CAD workflows
• Analyze large datasets from sensors, drones, and IoT devices to inform engineering decisions
• Work with internal technical teams to enable cloud-based and on-premise deployment pipelines
• Communicate with team members about how selected AI tools may be applied to specific problems

Strategic Collaboration & Prioritization

• Collaborate with cross functional teams to identify AI opportunities across disciplines
• Partner with leadership to prioritize the AI project backlog in alignment with business goals
• Stay current with AI trends, tools, and use cases relevant to engineering and infrastructure
• Assess cost-benefit of AI investments and maintain a roadmap of high-value initiatives

Education, Communication & Knowledge Sharing

• Deliver Lunch & Learn sessions to organization staff about AI tools, workflows, and progress
• Share initiative updates via presentations, emails, and dashboards for transparency and adoption
• Document tool usage guides and deployment steps for reusability and handoff
• Translate complex AI concepts into business and engineering-relevant terms
• Advocate for AI adoption through demos, internal showcases, and pilot programs
• Collaborate with the Innovation Team as part of the 2030 Strategic Plan

What You’ll Need

• Demonstrated experience with AI development tools, data analytics and workflow automation tools in real-world applications
• Strong problem-solving skills and ability to collaborate across teams
• Familiarity with engineering or infrastructure-related software (e.g., AutoCAD, Revit, Bluebeam, Adobe Acrobat)
• Hands-on experience with programming or scripting languages (e.g., Python, R, MATLAB)
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
• Comfortable working with large datasets and integrating tools into existing business processes
• Ability to communicate technical concepts to non-technical stakeholders
• Demonstrated ability to train, coach, or onboard others on new tools and workflows
• Active listener who can gather user needs, ask clarifying questions, and develop relevant solutions
• Familiarity with databases, data modeling, and platforms such as Power BI
• Awareness of system-level security principles in the context of digital tools or connected infrastructure
• Some overnight travel may be required
• Must have a valid driver's license and an acceptable motor vehicle record

What Will Make You Stand Out Technical & Domain Expertise

• Understanding of CAD/BIM workflows and opportunities for AI enhancement
• Exposure to CMMS/EAMS or asset lifecycle management platforms
• Integration of GIS platforms (e.g., Esri), spatial modeling, or site analytics
• Experience optimizing document review and markup workflows (Bluebeam, Adobe)
• Proficiency in developing or integrating AI/ML applications into cloud or hybrid environments
• Familiarity with anomaly detection or cybersecurity standards (especially for OT systems)
• Experience building or supporting internal decision-support tools for engineering teams
• Working knowledge of sustainability, operational efficiency, or infrastructure benchmarking
• Skilled at translating complex AI/ML concepts into accessible, user-friendly formats
• Experience facilitating internal training or Lunch & Learn sessions
• Strong documentation and storytelling capabilities (proposals, internal reports, or briefings)
• Comfortable presenting to diverse audiences, including clients, engineers, and senior leadership
• Demonstrated ability to identify scalable, repeatable AI use cases
• Comfortable working independently and within cross-disciplinary teams
• Ability to prioritize tasks across multiple concurrent initiatives
• Familiarity with agile/iterative development approaches or fast prototyping cycles
• Passion for learning, testing new technologies, and tracking infrastructure trends

What We Offer

Join a company that puts its employees first. Ranked as one of the Best Firms to Work For, here are just some of the reasons to become part of the McKim & Creed team:

• Employee Stock Ownership Plan (ESOP): All…