baxterwoodman
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Digital Water Engineer I

United StatesUnited States·Chicagomid
OtherEngineer
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Quick Summary

Key Responsibilities

Assist in the development and implementation of AI and machine learning models, including computer vision and data-driven applications.

Technical Tools
OtherEngineer

What We Offer

~1 min read

At Baxter & Woodman, professionals of all backgrounds find more than a job—they build long-term, rewarding careers with a recognized leader in engineering, technology, and innovation. Our collaborative culture and commitment to excellence are reflected in our recognition as a 2026 Zweig Best Firm to Work For.

About the Role

~1 min read

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.

Responsibilities

~2 min read
  • 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.
  • Application of AI and machine learning in water and wastewater engineering.
  • Use of digital delivery tools, including BIM, data platforms, and visualization systems.
  • Integration of engineering design with analytics, modeling, and smart infrastructure technologies.
  • Fundamentals of digital twins, asset management, and system optimization.
  • Exposure to project management, innovation strategy, and client engagement.
  • 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.
  • Prior AI-related coursework or project experience is a plus.
  • 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.

Requirements

~1 min read
  • Bachelor of Science in Civil Engineering, Environmental Engineering, Computer Science, Data Science, Computer Engineering, or related field (or pursuing completion).

Location & Eligibility

Where is the job
Chicago, United States
On-site at the office

Listing Details

First seen
July 15, 2026
Last seen
July 15, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
July 15, 2026

Signal breakdown

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baxterwoodmanDigital Water Engineer I