AI Specialist

Description

• 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

• 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

Interview process

Visa Sponsorship

Security clearance