AI Specialist

McKim and Creed•Raleigh, NC

About The Position

As an AI Specialist, you will develop and implement AI-driven solutions to optimize engineering workflows, enhance predictive modeling, and improve decision-making across infrastructure projects. You’ll collaborate with Water Business Unit leadership, our AI task force, project managers and engineers to bring intelligent automation and data insights into real-world applications. These applications will be internal-facing and will also include solutions specific to our clients’ needs that we can sell to them. This position can be located in any of our southeastern offices.

Requirements

Demonstrated experience with machine learning, deep learning, or data analytics 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, STAAD.Pro, 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) and AI frameworks (e.g., TensorFlow, PyTorch)
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

Nice To Haves

Technical & Domain Expertise Experience with digital twins, smart infrastructure, or utility optimization
Familiarity with SCADA systems, telemetry, PLCs, and process control environments
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
Experience with remote sensing and geospatial data analysis
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

Responsibilities

AI Solution Development & Implementation Quickly develop, prototype, and implement selected project ideas
Analyze large datasets from sensors, drones, and IoT devices to inform engineering decisions
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
Coordinate with the company’s IT Director on AI initiatives with enterprise-level impact
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
Ensure compatibility of AI solutions with operational systems like SCADA, telemetry, CMMS, and CAD workflows
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
Evaluate feasibility and impact of AI initiatives across water/wastewater/reuse utility services
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 Water BU 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.