AI Specialist

Overview

Develop and implement AI solutions to optimize engineering workflows and decision-making.

Key Responsibilities

• ai integration
• bim integration
• gis integration
• data analysis
• tool development
• stakeholder updates

Tasks

-Ensure compatibility of AI solutions with operational systems like SCADA, telemetry, CMMS, and CAD workflows -Share initiative updates via presentations, emails, and dashboards for transparency and adoption -Coordinate with the company’s IT Director on AI initiatives with enterprise-level impact -Partner with leadership to prioritize the AI project backlog in alignment with business goals -Communicate with team members about how selected AI tools may be applied to specific problems -Quickly develop, prototype, and implement selected project ideas -Integrate AI tools with BIM (Building Information Modeling) and GIS platforms -Advocate for AI adoption through demos, internal showcases, and pilot programs -Document tool usage guides and deployment steps for reusability and handoff -Deliver Lunch & Learn sessions to Water BU staff about AI tools, workflows, and progress -Develop client-facing AI tools and workflows that can be integrated into project delivery -Integration of GIS platforms (e.g., Esri), spatial modeling, or site analytics -Collaborate with the Innovation Team as part of the 2030 Strategic Plan. -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 -Collaborate with cross-functional teams to identify AI opportunities across disciplines -Analyze large datasets from sensors, drones, and IoT devices to inform engineering decisions -Evaluate feasibility and impact of AI initiatives across water/wastewater/reuse utility services -Assess cost-benefit of AI investments and maintain a roadmap of high-value initiatives -Develop a toolbox of AI tools that can be used to create AI-based agents and applications

Requirements

• ai/ml
• python
• aws
• autocad
• power bi
• digital twins

What You Bring

-Proficiency in developing or integrating AI/ML applications into cloud or hybrid environments -Awareness of system-level security principles in the context of digital tools or connected infrastructure -Strong documentation and storytelling capabilities (proposals, internal reports, or briefings) -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) -Skilled at translating complex AI/ML concepts into accessible, user-friendly formats -Active listener who can gather user needs, ask clarifying questions, and develop relevant solutions -Passion for learning, testing new technologies, and tracking infrastructure trends -Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch) -Experience with remote sensing and geospatial data analysis -Demonstrated ability to identify scalable, repeatable AI use cases -Translate complex AI concepts into business and engineering-relevant terms -Multiple office locations to work from: Stick close to home or travel for a change of scenery -Ability to communicate technical concepts to non-technical stakeholders -Strong problem-solving skills and ability to collaborate across teams -Experience building or supporting internal decision-support tools for engineering teams -Comfortable presenting to diverse audiences, including clients, engineers, and senior leadership -Familiarity with agile/iterative development approaches or fast prototyping cycles -Exposure to CMMS/EAMS or asset lifecycle management platforms -Experience facilitating internal training or Lunch & Learn sessions -Demonstrated experience with machine learning, deep learning, or data analytics in real-world applications -Demonstrated ability to train, coach, or onboard others on new tools and workflows -Comfortable working independently and within cross-disciplinary teams -Must have a valid driver’s license and an acceptable motor vehicle record -Understanding of CAD/BIM workflows and opportunities for AI enhancement -Experience with digital twins, smart infrastructure, or utility optimization -Ability to prioritize tasks across multiple concurrent initiatives -Familiarity with anomaly detection or cybersecurity standards (especially for OT systems) -Comfortable working with large datasets and integrating tools into existing business processes -Experience optimizing document review and markup workflows (Bluebeam, Adobe) -Working knowledge of sustainability, operational efficiency, or infrastructure benchmarking -Familiarity with SCADA systems, telemetry, PLCs, and process control environments -Familiarity with databases, data modeling, and platforms such as Power BI

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Benefits

-Employee Stock Ownership Plan (ESOP): All employees are owners & benefit from profits earned -Some overnight travel may be required -Growth opportunities & training: Grow confidently in your career with our mentoring & training options -Competitive pay + paid holidays, bereavement and parental, medical, and military leave -Collaborative, supportive team: People to help you solve problems, cheer successes & encourage you along the way -Professional development: Tuition reimbursement, early career professional program, online courses & more

About Mckim & Creed, Inc.

-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.

Sector Specialisms