Wastewater Process and AI Engineer

Brown and Caldwell•,

4d•$78,000 - $127,000

About The Position

Brown and Caldwell is seeking a Wastewater Process and AI Engineer to advance innovation and digital transformation in wastewater treatment. The role combines wastewater process engineering with practical applications of artificial intelligence, machine learning, advanced process modeling, digital twins, and process optimization. Working closely with the Director of Technical Delivery, Innovation and Transformation, the engineer will help develop, test, and implement solutions that improve treatment performance, operational efficiency, reliability, and decision-making. The role involves understanding treatment processes and data, developing technical solutions, and working with project teams and utility clients to bring solutions into practical use. The engineer will collect and analyze data, develop process models, evaluate and troubleshoot treatment facilities, perform experiments and testing, and support innovative solutions. They will work under senior staff direction on project tasks and may mentor less experienced team members. The position requires a bachelor's degree in a related engineering discipline or equivalent experience; a master's degree or PhD and substantial relevant experience are preferred. The anticipated starting pay range depends on the employee's primary work location: Location A, $78,000–$106,000; Location B, $85,000–$116,000; and Location C, $93,000–$127,000. The role is subject to a pre-employment background check and drug test.

Requirements

Bachelor's degree in environmental, civil, chemical, mechanical, or biological engineering, or equivalent experience.
Typically at least 2 years of related work experience in process engineering or a related field.
Prior experience with process evaluations and optimizations.
Basic understanding of engineering principles and proficiency with data analysis tools.
Strong analytical skills.
Understanding of Brown and Caldwell standards.
Skill in technical approaches and solutions.
Growing proficiency in process modeling and calculations, basic troubleshooting, and problem-solving.
Typically expected to become certified in Brown and Caldwell's Subject Matter Specialist (SMS) Framework and progress through its competencies.

Nice To Haves

5 or more years of relevant experience spanning wastewater process engineering, modeling, optimization, data science, or digital technology.
Strong understanding of wastewater treatment fundamentals, particularly biological treatment and nutrient removal.
Ability to connect process engineering, data science, and operational needs to develop practical solutions for wastewater facilities.
Strong analytical, problem-solving, and technical communication skills, including the ability to work across engineering, operations, technology, and project teams.
Ability to independently develop technical approaches while collaborating with multidisciplinary teams to advance solutions from concept through implementation.
Proficiency in Python for process model development and applying machine learning to data-driven modeling and analysis of wastewater treatment processes.
Experience developing and deploying AI/ML solutions for predictive analytics, anomaly detection, process monitoring, and optimization.
Experience applying wastewater process expertise to optimize biological treatment, nutrient removal, aeration, energy use, and chemical dosing.
Experience developing dynamic process models, digital twins, or hybrid mechanistic/AI models using real-time plant data.
Experience developing predictive models, real-time optimization tools, or advanced process control strategies.
Experience identifying emerging technologies and translating innovative concepts and prototypes into practical, scalable solutions.
Hands-on experience with programming, data analysis, process simulation, algorithm development, model training, validation, and deployment.
Experience with tools such as Python, wastewater modeling platforms (BioWin, GPS-X, SUMO, or WEST), cloud platforms, and industrial data integration systems.
Master's degree or PhD in Environmental Engineering, Chemical Engineering, Data Science, Computer Science, or a related field.

Responsibilities

Collect and analyze data, and create basis process models and drawings.
Evaluate existing processes, analyze data, and recommend optimizations.
Prepare concise and accurate process engineering tasks and project information.
Under senior staff direction, lead simple tasks for larger projects.
Understand the requirements of Quality Management Plans for related projects.
Develop chemical, physical, and biological process models and analyze data to identify trends.
Perform basic facility troubleshooting, identify root causes, and suggest solutions.
Set up experiments, collect data, and evaluate technologies for feasibility.
Perform chemical, physical, and biological testing, and analyze and report results.
Learn about and support innovative solutions.
Adapt to and execute additional assignments as needs evolve.
May provide mentorship, guidance, support, and knowledge-sharing to less experienced team members.
Help develop, test, and implement solutions to improve wastewater treatment performance, efficiency, reliability, and decision-making.