Build enterprise AI solutions at CN using Python, SQL, generative AI, and machine learning in a hybrid office work model.
This AI engineering role designs, integrates, and operationalizes production-grade applications, agents, and intelligent workflows. You will apply Retrieval Augmented Generation, prompt engineering, model evaluation, and workflow automation. The work connects software engineering, data engineering, machine learning, and enterprise platforms.

Key Responsibilities

Design and deploy AI applications, agents, and intelligent workflowsImplement RAG, prompt engineering, and model evaluation patternsDevelop reusable APIs, services, and application componentsIntegrate solutions with enterprise applications and data platformsApply governance, privacy,



security, and Responsible AI controlsRequirements:
Two to five years in relevant technology delivery rolesExperience building copilots, chatbots, assistants, or AI agentsGenerative AI, LLM, vector search, embeddings, and RAG experienceStrong Python and SQL programming skills with API experienceBachelor’s degree or equivalent education, training, and experienceApply AI engineering, Python, SQL, and governance expertise to deliver scalable enterprise solutions supporting CN’s data and automation capabilities.

📌 Ai Engineering Solutions Specialist (Canada)
🏢 Canadian National
📍 Canada