As of November 7, 2026, Jobsy lists 7 ai specialist jobs in Canada. The most active employers are IntuitionLabs, Xanadu and Clearbridge Business Solutions. Skills often requested: research, python, computer science and github.
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Xanadu: is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers.
4+ YOECandidates need a BSc in computer science, engineering, physics, math or a related field, 4+ years of ML or research engineering experience, and 2+ years in agentic systems, reinforcement learning or large-scale LLM work. Strong software engineering and knowledge of physics and linear algebra are required.
Xanadu: is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers.
6+ YOECandidates need a BSc in a technical field and 6+ years of industry experience in AI, physics, or simulation. They must be strong in Python and scientific computing, GPU programming, and software development practices.
5+ YOECandidates need 5 to 10 years in regulatory or medical writing at a biotech, pharma company or CRO, plus knowledge of ICH guidelines and the CTD structure. A life science PhD is preferred, and daily AI tool use with flawless English is required.
3+ YOECandidates need a PhD in chemistry, biology, pharmacology or a related field, plus 3 to 8 years in drug discovery or preclinical development. They need hands-on lab or computational experience, strong English, daily AI tool use, and the ability to teach experienced scientists.
Candidates need research and data analysis experience, coding skills in Python or R, and hands-on work with large language model APIs. Proficiency in visualization tools like Tableau, Power BI or advanced Excel is expected, and an undergraduate degree in a related field is an asset.
Tableau, Power BI, Excel, GIS, OpenAI API, Anthropic API
Candidates need experience running programs or growing high-engagement online communities, especially on WhatsApp, Telegram or Discord. They also need hands-on experience with foundation models such as ChatGPT, Claude and Gemini, plus multimedia content skills and comfort working across cultures and time zones.
Candidates need a natural communication style, daily hands-on use of AI tools, and solid cybersecurity fundamentals that they can explain to non-technical people. Experience building repeatable processes and an interest in customer success are key.