Innovation Engineer

Overview

Develop and implement agentic AI systems for water infrastructure and operations

Key Responsibilities

• agentic ai
• mlops
• azure devops
• databricks
• llm integration
• prototype development

Tasks

-Design and implement agentic AI systems, including single-agent and multi-agent architectures, for applications in water infrastructure, forecasting, optimizations, and operations. -Support the MLOps lifecycle, including model tracking (e.g., MLflow), deployment, and monitoring within Azure DevOps and Databricks environments. -Collaborate with ML/AI leads to integrate LLMs and autonomous agents into existing and new solution pipelines. -Document methodologies, share learnings, and contribute to internal knowledge bases and Communities of Practice. -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. -Contribute to the development of exploratory prototypes and production-ready tools that leverage agentic reasoning, planning, and collaboration.

Requirements

• llm frameworks
• python
• azure
• mlops
• master's
• communication

What You Bring

-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. -Experience or interest in water systems, environmental modeling, or Microsoft Azure SDKs such as AI Foundry is a plus. -Master’s+ degree in Artificial Intelligence, Computer Science, Data Science, or a related field. -Understanding of MLOps practices, including CI/CD pipelines, model versioning, and monitoring. -5+ years 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). -Strong communication skills and ability to collaborate across technical and non-technical teams.

People Also Searched For

Benefits

-Locations in CO, HI, IL, MD & Various CA, NJ Areas - Min Salary $ 104,800.00 - Max Salary $ 152,000.00 -Locations in WA, DC & Various CA, MA areas - Min Salary $ 112,500.00 - Max Salary $ 163,100.00

About Stantec

-Began as a one-person environmental engineering practice and has grown through strategic geographic and service expansion. -Publicly listed on the NYSE and TSX, Stantec has completed major acquisitions to bolster expertise and strengthen global infrastructure portfolio. -Headquartered in the iconic Stantec Tower in Edmonton, the company has delivered landmark projects like the Panama Canal Expansion and high-profile community developments. -Leverages interdisciplinary teams of designers, engineers, scientists, and project managers. -Typical projects span urban planning, civil infrastructure, water management, environmental assessment, energy delivery, and architectural design, serving public and private sectors. -Blends technical prowess with visionary design in bold ventures such as designing its own mixed-use tower and leading multi-nation infrastructure projects.

Sector Specialisms