Compute Solution Architect

Toronto, Ontario

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 24, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 11/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive envi…

This role is based in Ontario. Lindus Health is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Compute Solution Architect in Ontario

Median $120,000 per year, with most postings between $116,325 and $135,000 (Architects, 2026-08, 23 postings). This posting does not state a salary.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

Extensive experience in solution architecture
Strong understanding of AI/ML systems
Expertise in compute infrastructure
Enterprise-level project experience
Knowledge of high-stakes industry requirements

Fit check

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What you'll do

Design and architect compute solutions for enterprise clients
Co-create customized AI systems with enterprise partners
Develop solutions for high-stakes industries including finance, manufacturing, defense, healthcare, and public sector
Partner with enterprises to solve complex technical problems
Enable clients to deploy and run AI systems on their infrastructure
Collaborate with cross-functional teams
Provide technical leadership and guidance

What you'll need

Extensive experience in solution architecture
Strong understanding of AI/ML systems
Expertise in compute infrastructure
Enterprise-level project experience
Knowledge of high-stakes industry requirements
Experience with full-stack solutions