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Corporate AI Specialist

LinkedIn McKim & Creed, Inc. Tampa, FL
Not Applicable Posted April 17, 2026 Job link
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Requirements
  • US Citizenship
  • 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 and be eligible for work in the United States
  • 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
  • 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
  • Project Execution & Innovation
  • 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
Preferred Skills
  • 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
  • Communication & Collaboration
  • 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
  • Project Execution & Innovation
  • 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