Digital Water Engineer I

Baxter & Woodman•Chicago, IL

1d•Hybrid

About The Position

Baxter & Woodman has an exciting opportunity for a Digital Water Engineer I within our Water Department. This role merges traditional environmental engineering with cutting-edge digital technologies, including data analytics, artificial intelligence (AI), and smart infrastructure solutions. The Digital Water Engineer I will support the planning, design, and optimization of water & wastewater systems while assisting in the development and application of digital tools and AI-driven solutions. This position offers a unique opportunity to build both core engineering expertise and digital/AI capabilities, supporting innovation across the firm.

Requirements

Foundational knowledge or interest in artificial intelligence, machine learning, computer vision, or data analytics.
Experience or familiarity with programming in Python.
Familiarity with engineering and design tools such as AutoCAD, Revit, and Bluebeam; exposure to AI/ML frameworks is a plus.
Ability to work independently on assigned tasks and contribute to broader project goals.
Strong technical writing, problem-solving, and analytical skills.
Excellent communication and ability to work effectively in a team-oriented environment.
Bachelor of Science in Civil Engineering, Environmental Engineering, Computer Science, Data Science, Computer Engineering, or related field (or pursuing completion).

Nice To Haves

Prior AI-related coursework or project experience is a plus.

Responsibilities

Support the design of water & wastewater infrastructure, including treatment plants, pipelines, and pumping stations.
Assist with conceptual and preliminary design development using Bluebeam, AutoCAD, and Revit while incorporating digital workflows.
Prepare and contribute to master planning reports, integrating engineering analysis with data-driven insights.
Review and evaluate infrastructure improvements with consideration of sustainability, energy efficiency, and system optimization.
Assist in the development and implementation of AI and machine learning models, including computer vision and data-driven applications.
Utilize machine learning libraries and frameworks to support the development of tools for engineering analysis and decision-making.
Process and analyze data to train, validate, and evaluate AI models for internal engineering applications.
Support development of digital tools such as dashboards, visualization platforms, and system models to improve operational insights.
Contribute to digital engineering initiatives, including asset modeling, data integration, and smart system development.
Document AI models, workflows, and digital tools for internal use and knowledge sharing.
Explore and support implementation of AI-enabled processes to enhance quality, efficiency, and innovation across projects.
Collaborate with the Innovation & Technology Team to develop and test emerging digital solutions.
Participate in client and regulatory agency meetings, supporting both engineering and digital deliverables.
Communicate and coordinate with multidisciplinary teams, integrating engineering, data, and technology perspectives.
Work collaboratively with peers and leadership to advance digital practices within the firm.