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Added 24 mins ago
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Senior Client Education Manager
Benevity
Remote, Canada
- Full-time
- Remote
Drive innovation in content delivery, including adaptive learning pathways and integrating generative AI for both content creation and delivery (e.g., AI-powered learning agents).
Added 24 mins ago
B
Senior Client Education Manager
Benevity
Remote, Canada
- $98,600 to $126,600 CAD / year
- Full-time
- Remote
Drive innovation in content delivery, including adaptive learning pathways and integrating generative AI for both content creation and delivery (e.g., AI-powered learning agents).
Added 24 mins ago
I
Business Development Representative
Ideogram
Toronto, ON
- Full-time
…everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes…
Added 1 hour ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Provide thought leadership on AI/ML, Generative AI, and Agentic AI internally and with clients, while contributing to a culture of collaboration, learning, and curiosity
Added 1 hour ago
A
Director of Knowledge Management - NAMER
Ashby
Canada
- Full-time
Help lead both declarative flows (structured, designed paths) and generative flows (AI-composed answers grounded in our content), and decide when each is the right tool.
Added 1 hour ago
M
AI GTM and Automation Specialist
Maplesoft
Waterloo, ON
- Full-time
…in search engines and AI-generated answers through SEO and generative engine optimization…
Added 1 hour ago
L
Product Manager
Linedata
Toronto, ON
- Full-time
Working knowledge of AI capabilities, including generative and agentic AI with demonstrated ability to identify and implement relevant lending use cases
Added 2 hours ago
R
Maintenance Engineer – Electricity Generation Assets
Raise
Burnaby, BC
- Full-time
Practical exposure to generative AI tools for administrative efficiency or workflow optimization.
Added 2 hours ago
D
GenAI & Python Specialist - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
…employment basis. In this role, you will design, build, and scale Generative AI solutions using Python‑based frameworks, Large Language Models (LLMs), and advanced retrieval‑augmented…
Added 2 hours ago
O
Billing Coordinator
OpenText
Waterloo, ON
- Full-time
Added 3 hours ago
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Software Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
Added 3 hours ago
MO
Credit Operations Specialist
Meridian OneCap Credit Corp.
Toronto, ON · Etobicoke, ON
- Full-time
Added 3 hours ago
H
Senior Architect
Hays
Toronto, ON
- $80 to $90 CAD / hour
- Contract
…architecture of enterprise-scale Artificial Intelligence (AI) and Generative AI solutions on Microsoft Azure. This role is responsible for translating complex business requirements into…
Added 3 hours ago
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Cloud Architect
Hays
Toronto, ON
- Contract
We are seeking a Senior Azure AI Architect to lead the architecture and design of enterprise-scale AI and Generative AI solutions on Microsoft Azure.
Added 3 hours ago
WT
Senior Angular Developer
Wissen Technology
Montreal, QC
- Full-time
…Custom Software Development, AI-Driven Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence,…
Added 3 hours ago
C
Software Developer
Croesus
Laval, QC
- Full-time
As a Software Developer, you will contribute to the evolution of our portfolio management software - a solution used daily by wealth management firms. You will work on an established,…
Added 3 hours ago
ML
Manager, HR Services
Maple Leaf Foods Inc
Mississauga, ON
- $96,000 to $141,000 CAD / year
- Part-time
Added 3 hours ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
A hands-on CCaaS Developer with deep technical expertise in Amazon Connect and Google Cloud Contact Center AI (CCAI). You are passionate about building scalable, intelligent customer…
Added 4 hours ago
D-
Spécialiste de Solutions IA
DELAN - IT Talent Solutions
Montreal, QC
- Full-time
Le Spécialiste de Solutions IA sera responsable de concevoir et de déployer des solutions d'IA générative et de recherche intelligente pour de grandes organisations, en agissant comme…
Added 4 hours ago
D-
Vice-Président TI (Développement Logiciel)
DELAN - IT Talent Solutions
Brossard, QC
- Full-time
Expertise en IA générative appliquée au développement logiciel
Added 4 hours ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
…next-best-action, personalization models, predictive analytics, generative AI, content modularization, or insight…
Added 4 hours ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
…next-best-action, personalization models, predictive analytics, generative AI, content modularization, or insight…
Added 4 hours ago
Senior HR Business Partner
Payments Canada
Ottawa, ON · Toronto, ON
Added 4 hours ago
O
Développeur(se) en IA
Onepoint
Montreal, QC
- Full-time
Conevoir, développer, tester et déploier des solutions d’intelligence artificielle (apprentissage automatique, IA générative, agents intelligents, automatisation) répondant aux besoins…
Added 4 hours ago
W
Développeur(se) en IA
Wepoint
Montreal, QC
- Full-time
Conevoir, développer, tester et déploier des solutions d’intelligence artificielle (apprentissage automatique, IA générative, agents intelligents, automatisation) répondant aux besoins…

Hays

Cloud Architect

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 29, 2026
Experience: 12+ years of overall technology experience.
Posting language: English
Posted: Oct 30, 2026

Original job description

Role: Azure AI Architect

Location: Toronto, ON(Hybrid)

Type: Contract

Rate: CAD80/hr - CAD90/hr

Job Description:

We are seeking a Senior Azure AI Architect to lead the architecture and design of enterprise-scale AI and Generative AI solutions on Microsoft Azure.

The role translates complex business requirements into secure, scalable, resilient, and cost-effective AI architectures, with a focus on Microsoft Foundry, Azure OpenAI, Generative AI, RAG, Agentic AI, Azure AI Search, and enterprise data integration.

The architect serves as a senior technical advisor to business and engineering teams, driving architecture decisions from discovery and PoC through production and operationalization.

Role Boundary

The Azure AI Architect owns architecture, standards, technology direction, security patterns, governance alignment, and target-state solution design. Engineering execution, team delivery management, and release readiness sit with the AI Engineer Lead.

Key Responsibilities

Strategy & Architecture Ownership

Own the target-state architecture and technology governance for enterprise AI and GenAI solutions on Azure.

Own AI platform strategy, including model selection, scalability, resiliency, performance optimization, and cost management.

Ensure alignment with enterprise architecture standards, roadmaps, and principles.

Define AI architecture principles, reference architectures, reusable patterns, standards, and technology roadmaps.

Evaluate emerging AI models, frameworks, and Azure capabilities and recommend adoption based on enterprise value.

Solution Design

Architect solutions using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, and Azure AI services.

Design enterprise-grade RAG architectures, including document ingestion, chunking strategies, embeddings, vector/hybrid search, grounding, citations, and access controls.

Architect Agentic AI solutions, including multi-agent patterns, tool/function integration, enterprise APIs, knowledge sources, and workflow orchestration.

Lead LLM/model selection and evaluation based on accuracy, reasoning capability, latency, throughput, security, availability, and cost.

Architect integration between AI platforms and enterprise applications, databases, APIs, document repositories, data platforms, and event-driven systems.

Platform, Security & Governance

Establish architectural patterns for prompt management, evaluation, observability, model lifecycle management, LLMOps/MLOps, and AI application monitoring.

Define security architectures covering Microsoft Entra ID, managed identities, RBAC, Key Vault, private networking, encryption, API security, and sensitive-data protection.

Establish Responsible AI and AI governance controls covering safety, privacy, explainability, evaluation, hallucination management, and human oversight.

Collaboration & Leadership

Partner with application, cloud, data, cybersecurity, infrastructure, and enterprise architecture teams.

Lead architecture workshops, technical discovery sessions, design reviews, PoCs, and stakeholder presentations.

Provide technical direction and mentorship to AI engineers, ML engineers, application developers, data engineers, and cloud engineers

Experience & Qualifications

12+ years of overall technology experience.

5+ years in Solution, Cloud, Data, or Application Architecture.

Strong Azure architecture experience.

Demonstrated architecture experience with AI/ML and Generative AI.

Hands-on implementation experience with Azure OpenAI/Foundry and RAG solutions.

Experience defining enterprise AI roadmaps and leading AI programs from PoC to production at enterprise scale.

Experience providing architecture leadership across multiple engineering teams.

Strong experience working directly with customers and senior technology stakeholders.

Estimation and solution-planning experience.

Ability to lead and mentor geographically distributed engineering teams.

Key Attributes

Strong customer-facing and executive communication.

Ability to translate business problems into AI use cases and architecture.

Strong critical thinking and problem-solving abilities.

Ability to lead architecture and solution-design workshops and to articulate alternatives and trade-offs.

Ability to constructively challenge technical assumptions.

Strong architecture documentation and presentation skills.

Must-Have Skills

Azure architecture

Microsoft Foundry / Azure OpenAI

Generative AI / LLMs

Azure AI Search

Python

APIs / Integration

Identity & security

Prompt engineering

LLM evaluation

Enterprise architecture

Good-to-Have Skills

Microsoft Fabric

Copilot Studio

Multi-agent architectures

Fine-tuning experience

Azure Machine Learning

C# / .NET

Apply About employer

More about this job

Responsibilities

Own the target-state architecture, technology strategy, standards, security patterns, and governance for enterprise AI and generative AI solutions on Azure. Design and guide secure, scalable AI, RAG, and agentic systems from discovery and proof of concept through production, while advising stakeholders and mentoring engineering teams.

Requirements

Requires 12+ years of technology experience, including 5+ years in architecture, strong Azure architecture expertise, and demonstrated AI/ML and generative AI architecture experience. Candidates should have hands-on Azure OpenAI or Foundry and RAG experience, enterprise-scale delivery and roadmap leadership, and strong customer-facing communication and solution-planning skills.

Skills

Azure Architecture
Microsoft Foundry
Azure OpenAI
Generative AI
Large Language Models
Retrieval-Augmented Generation
Azure AI Search
Python
APIs and Integration
Identity and Security
Prompt Engineering
LLM Evaluation
Enterprise Architecture
Agentic AI
Azure Machine Learning
Microsoft Fabric

Visa sponsorship

Not detected in the job text

Keywords

Azure
Microsoft Foundry
Azure OpenAI
Generative AI
Large Language Models
Retrieval-Augmented Generation
Azure AI Search
Azure Machine Learning
Azure AI Services
Python
C#
.NET
Microsoft Fabric
Copilot Studio
Agentic AI
Multi-Agent Architectures
Prompt Engineering
LLM Evaluation
LLMOps
MLOps
Vector Search
Hybrid Search
Enterprise Architecture
Microsoft Entra ID
Managed Identities
Role-Based Access Control
Key Vault
Responsible AI
Enterprise Data Integration
API Security

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