Job Title

Communities everywhere share the need for clean water. And as they work to meet that need, theyre 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, were helping communities improve, reuse, and protect our worlds most precious resource. Join our team to deliver transformational projects that will benefit future generations. Grow with us, H2O+U. 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 BOUs 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 Masters+ degree in Artificial Intelligence, Computer Science, Data Science, or a related field. 5+ years of total professional experience, 1+ of handson experience in machine learning and AI development, with exposure to agentic AI concepts (e.g., autonomous agents, multiagent coordination, LLM-based agents). Familiarity with LLM frameworks (e.g., LangChain, AutoGen, OpenAI APIs) and multiagent orchestration tools. Handson 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 nontechnical teams. Experience or interest in water systems, environmental modeling, or Microsoft Azure SDKs such as AI Foundry is a plus. About the Team Pay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for parttime roles will be prorated based on the agreed number of working hours per week. Benefits Summary: Regular fulltime and parttime employees (working at least 20 hours per week) will have access to health, dental, and vision plans, a wellness program, health care spending account, wellness spending account, group registered retirement savings plan, employee stock purchase program, group taxfree savings account, life and accidental death & dismemberment (AD&D) insurance, shortterm/longterm disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage, and paid time off. Temporary/casual employees will have access to group registered retirement savings plan, employee stock purchase program, and group taxfree savings account. The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements. Job Info Job Identification 1002835 Posting Date 11/03/2025, 04:51 PM Degree Level Master''''s Degree Job Schedule Full time Job Shift Day Locations 300-10220 103 Avenue NW, Edmonton, AB, T5J 0K4, CA 200-325 25th Street SE, Calgary, AB, T2A 7H8, CA (Hybrid) #J-18808-Ljbffr