
Energy • Engineering • Environmental Consulting
Stantec is a global leader in sustainable engineering, architecture, and environmental consulting. The company focuses on innovative solutions at the intersection of community, creativity, and client relationships. Stantec is dedicated to redefining what’s possible by providing comprehensive services across sectors such as buildings, community development, energy, and water. With initiatives in smart cities, digital solutions, climate resilience, and international development, Stantec aims to address complex challenges and promote sustainability. It serves a wide range of locations globally, from North America to Asia, and Europe to the Middle East, supporting healthy, safe, and vibrant communities.
November 4
🏄 California – Remote
⛰️ Colorado – Remote
+1 more states
💵 $104.8k - $163.1k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📚 Research Engineer
🦅 H1B Visa Sponsor

Energy • Engineering • Environmental Consulting
Stantec is a global leader in sustainable engineering, architecture, and environmental consulting. The company focuses on innovative solutions at the intersection of community, creativity, and client relationships. Stantec is dedicated to redefining what’s possible by providing comprehensive services across sectors such as buildings, community development, energy, and water. With initiatives in smart cities, digital solutions, climate resilience, and international development, Stantec aims to address complex challenges and promote sustainability. It serves a wide range of locations globally, from North America to Asia, and Europe to the Middle East, supporting healthy, safe, and vibrant communities.
• 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.
• Master’s+ degree in Artificial Intelligence, Computer Science, Data Science, or a related field. • 5+ years total professional experience • 1+ years of hands-on experience in machine learning and AI development • Familiarity with LLM frameworks (e.g., LangChain, AutoGen, OpenAI APIs) • 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.
• Medical, dental, and vision plans • Wellness program • Health savings accounts • Flexible spending accounts • 401(k) plan • Employee stock purchase program • Life and AD&D insurance • Short-term/long-term disability plans • Emergency travel benefits • Tuition reimbursement • Professional membership fee coverage • Paid family leave • Ten paid holidays in each calendar year • Vacation between 10 and 20 days per year • Paid sick leave
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