Top Benefits
About the role
Communities everywhere share the need for clean water. And as they work to meet that need, they’re facing new, more complex challenges every day. Our water professionals collaborate to contribute innovative ideas, guided by scientific rigor and a vision for sustainable growth. Every day, we’re helping communities improve, reuse, and protect our world’s most precious resource.
Join our team to deliver transformational projects that will benefit future generations. Grow with us, H2O+U.
Your Opportunity
We are seeking a forward-thinking ML/AI Engineer with a strong foundation in AI and a growing specialization in agentic AI, including both single-agent and multi-agent systems. This role will support our expanding portfolio of AI-driven solutions in the water sector, contributing to a range of projects that involve complex systems, data-driven decision-making, and intelligent automation.
You will collaborate with a cross-functional team of data scientists, engineers, and domain experts to design, prototype, and deploy agentic AI solutions that enhance operational efficiency, system adaptability, and innovation across diverse water-related challenges. You will report to an Innovation Portfolio Manager in Stantec Water BOU’s Office of Research, Innovation and Technology.
Key Responsibilities
- Design and implement agentic AI systems, including single-agent and multi-agent architectures, for applications in water infrastructure, forecasting, optimizations, and operations.
- Collaborate with ML/AI leads to integrate LLMs and autonomous agents into existing and new solution pipelines.
- Contribute to the development of exploratory prototypes and production-ready tools that leverage agentic reasoning, planning, and collaboration.
- Support the MLOps lifecycle, including model tracking (e.g., MLflow), deployment, and monitoring within Azure DevOps and Databricks environments.
- Translate domain-specific challenges into scalable AI solutions, working closely with water engineers and project teams.
- Stay current with emerging research and tools in Machine Learning, agentic AI, reinforcement learning, and multi-agent systems.
- Document methodologies, share learnings, and contribute to internal knowledge bases and Communities of Practice.
Qualifications
- Master’s+ degree in Artificial Intelligence, Computer Science, Data Science, or a related field.
- 5+ years of total professional experience, 1+ of hands-on experience in machine learning and AI development, with exposure to agentic AI concepts (e.g., autonomous agents, multi-agent coordination, LLM-based agents).
- Familiarity with LLM frameworks (e.g., LangChain, AutoGen, OpenAI APIs) and multi-agent orchestration tools. Hands-on experience building AI agents with LLMs, including RAG, using these frameworks is preferred.
- Strong programming skills with Python, PyTorch or TensorFlow, and cloud-based ML platforms (preferably Azure). Skills in multiple languages (e.g., Java, Node.js) is a benefit.
- Understanding of MLOps practices, including CI/CD pipelines, model versioning, and monitoring.
- Strong communication skills and ability to collaborate across technical and non-technical teams.
- Experience or interest in water systems, environmental modeling, or Microsoft Azure SDKs such as AI Foundry is a plus.
About Stantec
Stantec empowers clients, people, and communities to rise to the world’s greatest challenges at a time when the world faces more unprecedented concerns than ever before.
We are a global leader in sustainable engineering, architecture, and environmental consulting. Our professionals deliver the expertise, technology, and innovation communities need to manage aging infrastructure, demographic and population changes, the energy transition, and more.
Today’s communities transcend geographic borders. At Stantec, community means everyone with an interest in the work that we do—from our project teams and industry colleagues to our clients and the people our work impacts. The diverse perspectives of our partners and interested parties drive us to think beyond what’s previously been done on critical issues like climate change, digital transformation, and future-proofing our cities and infrastructure.
We are designers, engineers, scientists, project managers, and strategic advisors. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what’s possible.
Stantec trades on the TSX and the NYSE under the symbol STN.
Top Benefits
About the role
Communities everywhere share the need for clean water. And as they work to meet that need, they’re facing new, more complex challenges every day. Our water professionals collaborate to contribute innovative ideas, guided by scientific rigor and a vision for sustainable growth. Every day, we’re helping communities improve, reuse, and protect our world’s most precious resource.
Join our team to deliver transformational projects that will benefit future generations. Grow with us, H2O+U.
Your Opportunity
We are seeking a forward-thinking ML/AI Engineer with a strong foundation in AI and a growing specialization in agentic AI, including both single-agent and multi-agent systems. This role will support our expanding portfolio of AI-driven solutions in the water sector, contributing to a range of projects that involve complex systems, data-driven decision-making, and intelligent automation.
You will collaborate with a cross-functional team of data scientists, engineers, and domain experts to design, prototype, and deploy agentic AI solutions that enhance operational efficiency, system adaptability, and innovation across diverse water-related challenges. You will report to an Innovation Portfolio Manager in Stantec Water BOU’s Office of Research, Innovation and Technology.
Key Responsibilities
- Design and implement agentic AI systems, including single-agent and multi-agent architectures, for applications in water infrastructure, forecasting, optimizations, and operations.
- Collaborate with ML/AI leads to integrate LLMs and autonomous agents into existing and new solution pipelines.
- Contribute to the development of exploratory prototypes and production-ready tools that leverage agentic reasoning, planning, and collaboration.
- Support the MLOps lifecycle, including model tracking (e.g., MLflow), deployment, and monitoring within Azure DevOps and Databricks environments.
- Translate domain-specific challenges into scalable AI solutions, working closely with water engineers and project teams.
- Stay current with emerging research and tools in Machine Learning, agentic AI, reinforcement learning, and multi-agent systems.
- Document methodologies, share learnings, and contribute to internal knowledge bases and Communities of Practice.
Qualifications
- Master’s+ degree in Artificial Intelligence, Computer Science, Data Science, or a related field.
- 5+ years of total professional experience, 1+ of hands-on experience in machine learning and AI development, with exposure to agentic AI concepts (e.g., autonomous agents, multi-agent coordination, LLM-based agents).
- Familiarity with LLM frameworks (e.g., LangChain, AutoGen, OpenAI APIs) and multi-agent orchestration tools. Hands-on experience building AI agents with LLMs, including RAG, using these frameworks is preferred.
- Strong programming skills with Python, PyTorch or TensorFlow, and cloud-based ML platforms (preferably Azure). Skills in multiple languages (e.g., Java, Node.js) is a benefit.
- Understanding of MLOps practices, including CI/CD pipelines, model versioning, and monitoring.
- Strong communication skills and ability to collaborate across technical and non-technical teams.
- Experience or interest in water systems, environmental modeling, or Microsoft Azure SDKs such as AI Foundry is a plus.
About Stantec
Stantec empowers clients, people, and communities to rise to the world’s greatest challenges at a time when the world faces more unprecedented concerns than ever before.
We are a global leader in sustainable engineering, architecture, and environmental consulting. Our professionals deliver the expertise, technology, and innovation communities need to manage aging infrastructure, demographic and population changes, the energy transition, and more.
Today’s communities transcend geographic borders. At Stantec, community means everyone with an interest in the work that we do—from our project teams and industry colleagues to our clients and the people our work impacts. The diverse perspectives of our partners and interested parties drive us to think beyond what’s previously been done on critical issues like climate change, digital transformation, and future-proofing our cities and infrastructure.
We are designers, engineers, scientists, project managers, and strategic advisors. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what’s possible.
Stantec trades on the TSX and the NYSE under the symbol STN.