DE

AWS AI Solution Architect

Montréal, Québec
On-site
Full-time
No salary posted4 days ago
Employment type
Full-time · On-site
Posted
November 9, 2026
NOC code
21231 — Software engineers and designers
Province
Quebec (QC)

Hiring confidence: Sparse posting · 22/100

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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We are seeking an experienced AWS AI Solution Architect to join our team and work on the design and implementation of production-grade AI and agentic systems. In this role, you will be responsible for defining AI solution architecture, designing multi-agent workflows, and working closely with Software Engineers, Data Engineers, DevOps Engineers, and customer stakeholders to deliver scalable, secure, and reliable AI solutions on AWS. You will work extensively with Amazon Bedrock, LLM-based appli…

This role is based in Quebec. The Canadian NOC code for this position is 21231 — Software engineers and designers. DEDICATTED 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 Quebec

Average salary for AWS AI Solution Architect in Quebec

Median $70,720 per year, with most postings between $50,000 and $99,409 (Architects, 2026-08, 5 postings). This posting does not state a salary.

NOC code

21231 — Software engineers and designers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.

Typical qualifications for Canadian employers

  • Extensive experience with AWS
  • Strong background in AI/Machine Learning
  • Experience designing production-grade systems
  • Knowledge of Amazon Bedrock and LLM applications
  • Understanding of multi-agent architectures

Fit check

Is this role right for you?

Top skills this posting asks for:

  • AWS
  • AI/Machine Learning
  • Solution Architecture

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What you'll do

  • Define AI solution architecture
  • Design multi-agent workflows
  • Work with Software Engineers, Data Engineers, and DevOps Engineers
  • Collaborate with customer stakeholders
  • Deliver scalable, secure, and reliable AI solutions on AWS
  • Work with Amazon Bedrock and LLM-based applications

What you'll need

  • Extensive experience with AWS
  • Strong background in AI/Machine Learning
  • Experience designing production-grade systems
  • Knowledge of Amazon Bedrock and LLM applications
  • Understanding of multi-agent architectures
  • Experience with scalable and secure cloud solutions

About the Company

DE

DEDICATTED