As of November 7, 2026, Jobsy lists 12 ai solutions engineer jobs in Canada. The most active employers are Urban Ridge Supplies, Oyster and Thales Canada Inc., Defence and Security. Skills often requested: communication skills, python, regulatory compliance and decision making.
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Superside
3+ YOESuperside needs 3+ years in a client-facing technical or sales role, hands-on experience building an AI agent or workflow, and strong consultative selling skills. Candidates should be able to map customer problems to tools, scope and price deals under tight timelines, and communicate excellently in English.
Sales, Software development, Workflow, Communication skills
IntuitionLabs
5+ YOECandidates need 5 or more years building production software or IT systems, with shipped integrations using APIs and identity standards, strong Python or TypeScript, and hands-on work with LLM APIs or agents. They must explain designs clearly to IT teams and executives, write flawlessly in English, and work North American business hours.
Okta, Microsoft Entra ID, Microsoft Purview, Box, Benchling, NetSuite
Oyster
3+ YOECandidates need 3+ years of hands-on AI and automation experience, including redesigning workflows and leading complex cross-functional initiatives. Strong skills with automation tools, production AI agents, business system integrations via APIs, and experience in at least one business function such as People, Legal, Finance or Operations are required.
n8n, Zapier, Make, LLM platforms, APIs, webhooks
Oyster
3+ YOECandidates need 3+ years of hands-on AI and automation experience and a track record of redesigning workflows. Strong skills with orchestration tools such as n8n, Zapier or Make, LLM-based agents, APIs and B2B GTM operations are required.
n8n, Zapier, Make, Salesforce, HubSpot, Gong
RAVL
Candidates need hands-on Vertex AI and GKE or Cloud Run experience, plus strong DevSecOps platform skills. Senior candidates must also show they have led platform architecture and mentored engineers in regulated environments.
Vertex AI, Gemini, Agent Builder, Vector Search, GKE, Cloud Run
Urban Ridge Supplies
2+ YOECandidates need 2-3 years of software, automation or AI product experience, basic-to-intermediate coding in Python, JavaScript or SQL, and hands-on use of LLM tools such as Claude, Codex, MCP and AWS. Strong communication, high ownership and comfort with ambiguity are essential.
Claude, Codex, MCP, AWS, AI copilots
Urban Ridge Supplies
Candidates need strong Python skills and experience shipping large language model applications, plus hands-on retrieval (RAG) work, agent frameworks and enterprise AI platforms. They also need prompt engineering skills and clear technical writing.
Python, LangChain, LlamaIndex, Azure OpenAI, Google Vertex AI, Anthropic API
Urban Ridge Supplies
8+ YOENorthleaf Capital Partners needs candidates with 8 to 12 or more years of senior experience in automation or solution delivery. Candidates must have hands-on experience building LLM-powered agents and strong skills across the Microsoft stack, including Copilot Studio, Power Platform and Dataverse, plus Python.
Microsoft Copilot Studio, M365 Copilot, Power Platform, Dataverse, SQL Server, Python
Thales
Candidates need a Bachelor's in computer science or a related engineering field and experience building agentic AI, multi-source data systems, or AI for tactical or defence settings. They also need agile methods, the ability to work with minimal supervision, and strong English communication.
MCP servers
Urban Ridge Supplies (3), Oyster (2), Thales Canada Inc., Defence and Security (2), EQ Bank | Canada's Challenger Bank (1) and Thales (1).
Postings most often mention communication skills, python, regulatory compliance, decision making, leadership, collaboration, coaching and computer science.
8 companies