Stay current with AI trends, tools, and use cases relevant to engineering and infrastructure
Work with internal technical teams to enable cloud-based and on-premise deployment pipelines
Coordinate with the company’s IT Director on AI initiatives with enterprise-level impact
Develop client-facing AI tools and workflows that can be integrated into project delivery
Collaborate with cross-functional teams to identify AI opportunities across disciplines
Share initiative updates via presentations, emails, and dashboards for transparency and adoption
Integration of GIS platforms (e.g., Esri), spatial modeling, or site analytics
Advocate for AI adoption through demos, internal showcases, and pilot programs
Deliver Lunch & Learn sessions to Water BU staff about AI tools, workflows, and progress
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
Document tool usage guides and deployment steps for reusability and handoff
Partner with leadership to prioritize the AI project backlog in alignment with business goals
Develop a toolbox of AI tools that can be used to create AI-based agents and applications
Evaluate feasibility and impact of AI initiatives across water/wastewater/reuse utility services
Quickly develop, prototype, and implement selected project ideas
Assess cost-benefit of AI investments and maintain a roadmap of high-value initiatives
Collaborate with the Innovation Team as part of the 2030 Strategic Plan.
Integrate AI tools with BIM (Building Information Modeling) and GIS platforms
Analyze large datasets from sensors, drones, and IoT devices to inform engineering decisions
Requirements
power bi
bluebeam
autocad
python
aws
tensorflow
Strong documentation and storytelling capabilities (proposals, internal reports, or briefings)
Must have a valid driver’s license and an acceptable motor vehicle record
Demonstrated ability to train, coach, or onboard others on new tools and workflows
Familiarity with databases, data modeling, and platforms such as Power BI
Active listener who can gather user needs, ask clarifying questions, and develop relevant solutions
Comfortable working with large datasets and integrating tools into existing business processes
Experience optimizing document review and markup workflows (Bluebeam, Adobe)
Experience with digital twins, smart infrastructure, or utility optimization
Familiarity with agile/iterative development approaches or fast prototyping cycles
Ability to communicate technical concepts to non-technical stakeholders
Understanding of CAD/BIM workflows and opportunities for AI enhancement
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 problem-solving skills and ability to collaborate across teams
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch)
Passion for learning, testing new technologies, and tracking infrastructure trends
Experience building or supporting internal decision-support tools for engineering teams
Awareness of system-level security principles in the context of digital tools or connected infrastructure
Multiple office locations to work from: Stick close to home or travel for a change of scenery
Ability to prioritize tasks across multiple concurrent initiatives
Familiarity with SCADA systems, telemetry, PLCs, and process control environments
Translate complex AI concepts into business and engineering-relevant terms
Demonstrated ability to identify scalable, repeatable AI use cases
Experience with remote sensing and geospatial data analysis
Proficiency in developing or integrating AI/ML applications into cloud or hybrid environments
Hands-on experience with programming or scripting languages (e.g., Python, R, MATLAB)
Comfortable presenting to diverse audiences, including clients, engineers, and senior leadership
Exposure to CMMS/EAMS or asset lifecycle management platforms
Demonstrated experience with machine learning, deep learning, or data analytics in real-world applications
Familiarity with anomaly detection or cybersecurity standards (especially for OT systems)
Comfortable working independently and within cross-disciplinary teams
Familiarity with engineering or infrastructure-related software (e.g., AutoCAD, Revit, STAAD.Pro, Bluebeam, Adobe Acrobat)
Benefits
Competitive pay + paid holidays, bereavement and parental, medical, and military leave
Professional development: Tuition reimbursement, early career professional program, online courses & more
Employee Stock Ownership Plan (ESOP): All employees are owners & benefit from profits earned
Growth opportunities & training: Grow confidently in your career with our mentoring & training options
Collaborative, supportive team: People to help you solve problems, cheer successes & encourage you along the way
Some overnight travel may be required
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
Information not given or found
Company
Overview
$750M Revenue
Annual Revenue
The firm generates $750 million annually through heavy civil engineering and geomatics services.
50% Geomatics
Revenue Source Breakdown
Half of the firm's revenue is derived from geomatics services, including LiDAR mapping and coastal mapping.
Founded in 1978 by two engineers, the company began as a structural design firm and has expanded into full‑service consulting.
Headquartered in Raleigh, NC, with over 19 offices nationwide, serving both public and private clients.
Specializes in geomatics (airborne, mobile LiDAR, UAS), civil/structural/mechanical/electrical engineering, and subsurface utility engineering.
Received national recognition for innovative geospatial solutions, including multibeam hydrographic surveying aiding a fraud conviction and pioneering UAS volume monitoring on major reservoirs.
Experienced in hydrographic surveys, LiDAR mapping for transportation, and utility infrastructure planning.
Employee‑owned with strategic growth initiatives in Texas, Virginia, and Georgia through office acquisitions and service expansion.
Culture + Values
Client-Centric Approach: We take the time to understand our clients’ needs and deliver tailored solutions that exceed expectations.
Integrity: We are committed to maintaining the highest standards of professionalism, honesty, and accountability.
Collaboration: We value teamwork and work together to leverage our collective expertise to achieve outstanding results.
Innovation: We foster a culture of creativity and forward-thinking to continuously improve and provide cutting-edge solutions.
Excellence: We strive for the highest quality in everything we do, from project delivery to client satisfaction.
Environment + Sustainability
2050
Net Zero Target
The company is working toward achieving net zero carbon emissions by this year.
Commitment to Sustainability: Integrates sustainability into its business practices and strives to reduce the environmental impact of its operations.
Sustainable Practices: Focus on promoting resource efficiency, reducing waste, and adopting renewable energy in projects and operations.
Green Building Certifications: Actively supports and helps clients achieve LEED (Leadership in Energy and Environmental Design) certifications for projects.
Inclusion & Diversity
Diversity Goals: McKim & Creed is committed to creating an inclusive environment where diverse perspectives are valued.
Gender Representation: The company strives to achieve gender equity in leadership and throughout the workforce.
Inclusive Workplace: Focus on fostering an inclusive and respectful workplace culture that embraces diversity in all forms.