Architect jobs in Canada

Find architect jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

115 listings · 61 employers Counted Sep 17, 2026. How we count

About these jobs

Employers hiring include TalentSphere Staffing Solutions (16 listings), Architecture49 Inc. (10 listings), CGI (5 listings).

5 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Workplace classifications: 3% remote, 40% hybrid, 57% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Architect jobs in Canada

5 hours ago
ARCHITECT
Republic Architecture Inc.
Winnipeg, MB
Full-time
We’re growing and looking for an Architect to join the #PeopleOfRepublic. As a member of the architectural team, the Architect will be responsible for the development of enclosure retrofits…
13 hours ago
Architect
Dexian
Toronto, ON
Contract
The Architect will design end-to-end AI solution architectures, including AI/LLM gateways, agentic AI platforms, model access patterns, RAG and knowledge retrieval patterns, AI…
1 day ago
Architecte Infrastructure TI
DELAN - IT Talent Solutions
Montreal, QC
Full-time
L'Architecte Infrastructure TI sera responsable de résoudre des enjeux techniques complexes et de piloter l'évolution de l'architecture technologique d'une entreprise en pleine croissance…
2 days ago
Senior Architect - ARC4 - COMRES
WF Group Inc.
Kitchener, ON
The Senior Architect is an experienced architectural leader responsible for leading complex projects and supporting the growth of WalterFedy’s Private Markets sector in Ontario. The role is…
2 days ago
Architect - Machine Learning
Quantiphi
Canada
Full-time
2 days ago
Architecte WordPress / WordPress Architect
Evolving Web
Remote, Canada
Full-time · Remote
Devenez notre expert·e technique à l’interne! Evolving Web est à la recherche d’un·e architecte WordPress. Vous travaillerez en étroite collaboration avec nos développeurs, designers,…
2 days ago
Architecte WordPress / WordPress Architect
Evolving Web
Montreal, QC
Full-time
Devenez notre expert·e technique à l'interne! Evolving Web est à la recherche d'un·e architecte WordPress. Vous travaillerez en étroite collaboration avec nos développeurs, designers,…
4 days ago
architectural project manager
Menuiserie Authentique
Saint-Jean-Port-Joli, QC
Full-time
5 days ago
Architect
Hays
Calgary, AB · Greater Calgary Metropolitan Area
Full-time
Our client is a growing architecture and design practice with a strong reputation across Western Canada. Known for delivering innovative residential, mixed-use, commercial and…
6 days ago
Senior Architect - Direct to Market (D2M)
Wawanesa Insurance
Toronto, ON · Winnipeg, MB · Calgary, AB · North York - Toronto, ON (Hybr, ON
6 days ago
Licensed Senior Architect
CIMA+
Mississauga, ON
97,360 to 133,870 CAD / year
Full-time
6 days ago
Licensed Senior Architect
CIMA+
Mississauga, ON
Full-time
6 days ago
Architect - FinOps
Zynga
Toronto, ON
6 days ago
Senior Architect (Major Aviation Infrastructure)
Egis in Canada
Toronto, ON
100,000 to 120,000 CAD / year
Full-time
WW+P is a world-leading architecture and planning practice. Founded in 1985, the practice has more than 400 architects, urban designers and planners across 12 studios worldwide. WW+P…
6 days ago
Senior Architect (Major Aviation Infrastructure)
Egis Group
Toronto, ON
Full-time
WW+P is a world-leading architecture and planning practice. Founded in 1985, the practice has more than 400 architects, urban designers and planners across 12 studios worldwide. WW+P…
7 days ago
Architect, Education
NORR
Toronto, ON
7 days ago
Architecte de données
Highspring
Montreal, QC
Full-time
9 days ago
Architecte principal(e) en intélligence artificielle
McKesson
Mississauga, ON · Montreal, QC
Full-time
9 days ago
Architecte Logiciel
Vaco by Highspring
Montreal, QC
Full-time
Highspring est à la recherche d'un(e) Architecte logiciel pou
12 days ago
Senior Architect - Contact Center and Conversational AI
Wawanesa Insurance
Calgary, AB · Edmonton, AB · Winnipeg, MB · Kitchener, ON · Ottawa, ON · Toronto, ON · North York - Toronto, ON (Hybr, ON
12 days ago
Architect
TalentSphere Staffing Solutions
Edmonton, AB
Full-time
This reputable and recognized Architecture and Design firm in Edmonton is looking to add a talented and aspiring Architect to their dynamic team. This firm have a broad portfolio of work…
12 days ago
Architecte logiciel
Highspring
Montreal, QC
Full-time
13 days ago
Architecte marketing agentique
TS Imagine
Montréal-Ouest, QC
Full-time
13 days ago
Architect, Bilingual
Stantec
Moncton, NB
Full-time
Stantec’s Buildings team is on a mission to become the world’s leading integrated design practice. Our architects, engineers, interior designers, consultants, sustainability specialists,…
14 days ago
Senior Architect Post Secondary Lead - Relocate to Metro Vancouver
TalentSphere Staffing Solutions
Calgary, AB
Full-time
Our client is a well established architectural and design practice with more than 60 years of experience delivering meaningful projects across Western Canada. With a strong presence in…

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2 days ago

Quantiphi

Architect - Machine Learning

Canada

Full-time

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

Design and implement end-to-end enterprise AI/ML architectures, focusing on Generative AI, RAG, and Agentic AI solutions. Lead the transition of prototypes into production-grade solutions while establishing evaluation and observability frameworks.

Requirements

Requires 8+ years of experience in AI/ML or Software Engineering, with at least 3 years specifically in Generative AI and LLMs. Proficiency in Python, major cloud platforms (Azure, AWS, or GCP), and MLOps pipelines is essential.

Experience

10+ years

Working hours

40 hours per week

Job type

Full-time

Work arrangement

On-site

Skills

Machine Learning
Generative AI
LLMs
RAG
Agentic AI
Python
PyTorch
TensorFlow
MLOps
LLMOps
Azure OpenAI
AWS Bedrock
Google Vertex AI
Docker
Kubernetes
System Design

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
Large Language Models
RAG
Vector Databases
Agentic AI
Python
PyTorch
TensorFlow
Hugging Face
Azure OpenAI
AWS Bedrock
Google Gemini
Llama
MLOps
LLMOps
CI/CD
Docker
Kubernetes
Microservices
Infrastructure as Code
Data Lakes
Responsible AI
System Design
Cloud Computing
Azure
AWS
GCP
Vertex AI

Original job description

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies - we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

21 Google Cloud Partner of the Year awards in the past 10 years
3 AWS AI/ML Partner of the Year awards
3 NVIDIA Partner of the Year awards
3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work - reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Job Description:

Required Skills:

8+ years of experience in Machine Learning, AI, Software Engineering, Data Science, or Solution Architecture.
Strong experience designing and implementing enterprise-scale AI/ML architectures.
3+ years of hands-on experience with Generative AI, LLMs, and production AI applications.
Strong expertise in RAG (Retrieval-Augmented Generation), embeddings, vector databases, semantic/hybrid search, and knowledge retrieval.
Hands-on experience with Agentic AI, AI agents, tool/function calling, orchestration, and multi-agent workflows.
Strong proficiency in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
Experience with LLM platforms/models such as Azure OpenAI, OpenAI, AWS Bedrock, Anthropic, Google Gemini, Llama, or equivalent.
Strong knowledge of prompt engineering, context engineering, fine-tuning, model evaluation, guardrails, and hallucination mitigation.
Experience designing and implementing MLOps/LLMOps pipelines, including model deployment, monitoring, evaluation, versioning, and CI/CD.
Strong experience with at least one major cloud platform: Microsoft Azure, AWS, or GCP.
Experience with cloud AI/ML services such as Azure Machine Learning, Azure AI Foundry, AWS SageMaker/Bedrock, or Google Vertex AI.
Experience with Docker, Kubernetes, APIs, microservices, CI/CD, and Infrastructure as Code.
Strong understanding of data pipelines, data lakes/lakehouses, databases, data governance, and enterprise integration.
Experience with AI/ML security, privacy, Responsible AI, governance, and compliance.
Strong system-design and architecture skills, with the ability to translate business requirements into scalable technical solutions.
Excellent communication, presentation, stakeholder-management, and technical leadership skills.

Key Responsibilities:

Design end-to-end enterprise AI/ML architectures from data ingestion through model development, deployment, inference, monitoring, and optimization.
Lead the architecture and implementation of Generative AI and LLM-based solutions across enterprise use cases.
Design scalable RAG architectures, including document ingestion, chunking, embeddings, vector search, retrieval, reranking, and LLM generation.
Architect and implement Agentic AI solutions, including AI agents, tool calling, workflow orchestration, memory, and human-in-the-loop capabilities.
Evaluate and recommend LLMs, AI platforms, frameworks, and technologies based on performance, scalability, security, latency, and cost.
Define architecture standards and reusable patterns for GenAI, ML, MLOps, and LLMOps.
Lead the transition of AI/ML POCs and prototypes into production-grade solutions.
Design and implement MLOps/LLMOps capabilities for model lifecycle management, deployment, monitoring, evaluation, and continuous improvement.
Establish LLM evaluation and observability frameworks covering accuracy, relevance, hallucination, latency, token usage, cost, and reliability.
Work closely with Data Scientists, ML Engineers, Software Engineers, Data Engineers, Product Managers, Security teams, and business stakeholders.
Provide technical leadership and mentorship to AI/ML engineering teams.
Ensure AI solutions meet enterprise requirements for security, privacy, governance, Responsible AI, and regulatory compliance.
Identify opportunities to improve existing AI/ML platforms and optimize performance, scalability, and cloud costs.
Create architecture diagrams, technical specifications, design documents, standards, and implementation roadmaps.
Stay current with emerging GenAI, LLM, Agentic AI, ML, and cloud technologies and assess their applicability to business needs.

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Details last changed Sep 16, 2026. About these details

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