Digital Water Engineer I
Quick Summary
Assist in the development and implementation of AI and machine learning models, including computer vision and data-driven applications.
What We Offer
~1 min readAt 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 readBaxter & 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
Listing Details
- First seen
- July 15, 2026
- Last seen
- September 2, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- July 15, 2026
Signal breakdown
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