Solutions Architect

Toronto, Ontario

On-site

Full-time

$115K – $167K CAD

Yesterday

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Employment type: Full-time · On-site
Posted: September 20, 2026
Salary range: $115,100–$166,900 CAD per year
Province: Ontario (ON)

Hiring confidence: Complete posting · 78/100

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Job Overview

Jobs

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The companies defining the future of AI are a small number of startups training, tuning, and operating models at scale. They are run by ambitious founders, who solve the hardest problems across a variety of different industries. They are moving fast, operating at the edge of what technology can do, and defining the possibilities of computing for years to come. We are looking for technical builders who are passionate about helping startups at the frontier of AI to grow. This role requires someon…

This role is based in Ontario. Amazon 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 Solutions Architect in Ontario

Median $120,000 per year, with most postings between $120,000 and $120,000 (Architects, 2026-05, 23 postings). This posting advertises $115,100–$166,900.

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

Technical building experience
Passion for frontier AI startups
Experience with AI/ML systems or infrastructure
Ability to operate in fast-paced environments
Understanding of scaling challenges

Fit check

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What you'll do

Help frontier AI startups grow and scale
Design technical solutions for complex AI problems
Advise on architecture decisions
Support startups across various industries
Work with ambitious founders to solve hard technical problems
Drive architectural best practices at scale

What you'll need

Technical building experience
Passion for frontier AI startups
Experience with AI/ML systems or infrastructure
Ability to operate in fast-paced environments
Understanding of scaling challenges
Knowledge of modern computing paradigms