As of November 7, 2026, Jobsy lists 9 principal ai engineer jobs in Canada. The most active employers are Royal Bank of Canada, Elastic and Questrade Financial Group. Skills often requested: python, google cloud, machine learning and leadership.
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Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Candidates need extensive experience building distributed ML systems at scale, hands-on work with Google Cloud Platform and Vertex AI, and experience with generative AI, MLOps tools, DevOps pipelines and Python. They also need familiarity with deep learning frameworks and software engineering practices.
Google Cloud Platform, Vertex AI, Airflow, Kubeflow, Dagster, Flyte
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Royal Bank of Canada needs a technical leader with proven experience building multi-step AI agents in production, plus LLM engineering, CI/CD, containerized infrastructure, and strong Python, Java or C++ skills. Candidates should have a Bachelor's or Master's degree (PhD preferred) or equivalent experience, and a record of advising executives and hiring engineers.
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Royal Bank of Canada needs a technical leader with proven experience building multi-step AI agents in production, plus LLM engineering, CI/CD, containerized infrastructure, and strong Python, Java or C++ skills. Candidates should have a Bachelor's or Master's degree (PhD preferred) or equivalent experience, and a record of advising executives and hiring engineers.
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Candidates need extensive experience building distributed ML systems at scale, hands-on work with Google Cloud Platform and Vertex AI, and experience with generative AI, MLOps tools, DevOps pipelines and Python. They also need familiarity with deep learning frameworks and software engineering practices.
Google Cloud Platform, Vertex AI, Airflow, Kubeflow, Dagster, Flyte
Questrade Financial Group: Questrade offers Canadians an easy way to invest in securities and foreign currency and provides online wealth management and mortgage through the…
10+ YOEQuestrade Financial Group needs candidates with 10+ years of software engineering experience, including 3+ years in AI engineering or LLMOps. They must have proven Staff or Principal-level leadership, experience in regulated industries and experience managing enterprise software vendors.
7+ YOECandidates need 7+ years of software engineering experience, including 2+ years shipping generative AI or agentic features, and a Bachelor's or Master's degree in a related field. Strong Python and cloud-native skills on GCP are required.
Elastic: Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale.
10+ YOEElastic needs 10+ years of software engineering experience, including recent work shipping AI products on real traffic. Candidates need eval-driven improvement experience, agent memory and tool-call expertise, and strong Python or TypeScript backend skills.
Elasticsearch, MCP, LangChain, LangGraph, CrewAI, Claude Agent SDK
Candidates need proven AI leadership and delivery experience, strong Python skills, and hands-on experience taking LLM applications to production. They also need responsible AI, model risk management and AI governance knowledge, plus experience with microservices and authentication standards.
Workday, Inc.: Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing…
10+ YOECandidates need 10+ years of applied machine learning experience, including 6+ years hosting models in production and 3+ years working with LLMs. They also need experience with PyTorch or TensorFlow, cloud platforms, and leading ML engineering teams, plus a bachelor's degree (master's or PhD preferred).