Jobs in Canada

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Added 20 mins ago
MD
Dynamics 365/ Power Platform Developer - ITS4
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Experience using Azure DevOps or GitHub for solution management, source control, CI/CD pipelines, and ALM practices.
Added 34 mins ago
M
Cloud Solution Architect - AI Apps
Microsoft
Vancouver, BC
- Full-time
Software development practices including DevOps and CI/CD toolchains (GitHub, Azure DevOps, Jenkins, Spinnaker).
Added 1 hour ago
LC
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Experience in test automation and/or DevOps engineering
Added 2 hours ago
SM
RQ11676 – Software Developer – ETL – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Exposure to Agile delivery methodologies and DevOps practices.
Added 2 hours ago
SM
RQ11487 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Lake Gen 2, Power BI development and semantic modelling, Azure DevOps CI/CD, PySpark, and Microsoft…
Added 2 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience working with Azure DevOps, Git, CI/CD pipelines, and automated deployment practices.
Added 2 hours ago
E
MuleSoft Integration Developer
Experis
Calgary, AB
- Contract
Experience with CI/CD tools such as Jenkins, Azure DevOps, or Git-based pipelines.
Added 5 hours ago
J
Quality Assurance Analyst (COPY)
JobsMedia.io
Laval, QC
- Full-time
You know or are curious about methodologies Agile/SCRUM and .Net, Angular and DevOps environments.
Added 5 hours ago
J
Quality Assurance Analyst (COPY) (COPY)
JobsMedia.io
Longueuil, QC
- Full-time
You know or are curious about methodologies Agile/SCRUM and .Net, Angular and DevOps environments.
Added 5 hours ago
J
Quality Assurance Analyst
JobsMedia.io
Quebec, QC
- Full-time
You know or are curious about methodologies Agile/SCRUM and .Net, Angular and DevOps environments.
Added 5 hours ago
C
Senior Angular Developer (Java & Node.js)
Cognizant
Toronto, ON
- $61,500 to $104,500 CAD / year
- Full-time
Exposure to CI/CD pipelines, DevOps practices, and automated deployment processes.
Added 5 hours ago
C
Full Stack Technical Lead (Angular/Java)
Cognizant
Toronto, ON
- $72,000 to $126,000 CAD / year
- Full-time
Drive continuous integration, deployment, code quality, and performance improvements through modern DevOps practices and tools.
Added 6 hours ago
S
Scrum Master-Global Payments Engineering
Scotiabank
Toronto, ON
- Full-time
Familiarity with Agile tools such as Jira, Azure DevOps, or Rally.
Added 7 hours ago
T
Director of Engineering
TAIRC
ON · Regional Municipality of York, ON
- Volunteer
Expertise in software architecture, DevOps practices, and infrastructure planning.
Added 10 hours ago
CC
Data Engineer
Canadian Cancer Society
Hamilton, ON
- Full-time
Develop and maintain CI/CD pipelines using Azure DevOps for data platform solutions
Added 11 hours ago
T
Développeur logiciel senior - Plateforme centrale/ Senior Software Developer - Core Platform
TAIT
Montreal, QC
- Full-time
Added 12 hours ago
DG
Software Engineering Architect
Dexterra Group
Calgary, AB
- Full-time
Strong knowledge of cloud engineering, CI/CD, DevOps, cybersecurity and secure software development.
Added 12 hours ago
DG
Software Engineering Architect
Dexterra Group
Mississauga, ON
- Full-time
Strong knowledge of cloud engineering, CI/CD, DevOps, cybersecurity and secure software development.
Added 13 hours ago
R
Business Development Representative
RavGB
Calgary, AB
- Contract
…videos, and custom tools for small businesses, and we provide DevOps services for small software companies. We have real client work to show and more opportunity than one person can chase.…
Added 14 hours ago
SM
RQ11676 – Software Developer – ETL – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Exposure to Agile delivery methodologies and DevOps practices.
Added 14 hours ago
SM
RQ11487 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Lake Gen 2, Power BI development and semantic modelling, Azure DevOps CI/CD, PySpark, and Microsoft…
Added 14 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience working with Azure DevOps, Git, CI/CD pipelines, and automated deployment practices.
Added 15 hours ago
SS
T24 Test Lead
Syncredible Solutions
Canada
- Contract
Experience with CI/CD tools (Jenkins, Azure DevOps, GitLab, etc.)
Added 15 hours ago
J
Report Developer - Junior
Joblinxsapp
Toronto, ON
- Full-time
Work with Azure DevOps, Git, and CI/CD pipelines.
Added 16 hours ago
CC
Data Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
Develop and maintain CI/CD pipelines using Azure DevOps for data platform solutions

Affinity

Microsoft Foundry Architect

Vancouver, BC, Canada

Contract

Apply About employer

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Job details

Job type: Contract
Apply by: Dec 6, 2026
Experience: 8+ years of experience in cloud architecture, software engineering, or platform engineering, including 2+ years designing and delivering AI/LLM solutions.
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Description

We are seeking a Microsoft Foundry Architect to lead the architecture, design, and hands-on implementation of enterprise AI solutions using Microsoft Foundry (formerly Azure AI Foundry).

This is a hands-on technical role embedded within a cross-functional delivery team. The successful candidate will establish the Foundry platform foundation and design secure, scalable, and reusable patterns for AI agents, retrieval-augmented generation (RAG) applications, model deployments, and AI-enabled business workflows on the Azure platform.

Responsibilities

Design and document the Microsoft Foundry target-state architecture, including Foundry resources and projects, environment segregation (development, test, production), and integration with existing Azure landing zones.
Define reference architectures, design standards, and reusable patterns for AI agents, copilots, RAG applications, and AI-enabled workflows built on Foundry.
Design and implement agents using Foundry Agent Service, including prompt, workflow, and hosted agents.
Integrate AI agents with tools and services such as Azure AI Search, Azure Functions, Logic Apps, OpenAPI, and MCP servers.
Design multi-agent orchestration patterns using technologies such as Microsoft Agent Framework, Semantic Kernel, AutoGen, and LangGraph.
Select, deploy, and manage models from the Foundry model catalog, including Azure OpenAI, Meta, Mistral, and open-source models.
Manage model deployment types, quota and capacity planning, model versioning, and assess when to use fine-tuning, prompt engineering, or RAG approaches.
Architect and optimize RAG pipelines and knowledge sources, including chunking, embeddings, indexing, retrieval, re-ranking, and vector storage.
Implement enterprise security controls, including VNet integration, private endpoints, managed identities, Microsoft Entra ID, RBAC, Azure Key Vault, data residency, and audit logging.
Embed Responsible AI and content safety controls, including Azure AI Content Safety, prompt shields, groundedness detection, and human-in-the-loop review.
Design and execute AI evaluation processes using Foundry evaluations and the Azure AI Evaluation SDK, including groundedness, relevance, safety metrics, red-teaming, regression testing, and continuous production evaluation.
Implement AI observability and tracing using OpenTelemetry, Azure Monitor, and Application Insights, including token consumption, latency, failure analysis, and trace correlation.
Establish cost management and capacity practices for model endpoints, provisioned throughput, and Azure AI Search.
Automate provisioning and deployment of Foundry resources, models, connections, and agents using Terraform, Bicep, Azure DevOps, GitHub Actions, and/or Azure Developer CLI.
Integrate Foundry solutions with enterprise applications and channels, including .NET and Python applications, APIs, Microsoft 365 Copilot, Copilot Studio, and Microsoft Teams.
Review solution designs and implementations against architecture principles and production-readiness requirements.
Produce architecture documentation, including architecture decision records (ADRs), runbooks, operating procedures, reference architectures, and reusable templates.
Provide technical knowledge transfer and mentorship to engineering and platform teams.

Qualifications

Undergraduate degree in Computer Science, Engineering, or a related STEM discipline, or an equivalent combination of education and experience.
8+ years of experience in cloud architecture, software engineering, or platform engineering, including 2+ years designing and delivering AI/LLM solutions.
Demonstrated hands-on experience architecting, designing, and implementing solutions using Microsoft Foundry / Azure AI Foundry or predecessor technologies such as Azure AI Studio and Azure OpenAI Service.
Experience delivering at least one enterprise AI solution into production.
Experience designing LLM, RAG, and/or agentic AI solutions while balancing quality, latency, cost, security, and privacy.
Hands-on experience with Foundry Agent Service and agent frameworks such as Microsoft Agent Framework, Semantic Kernel, AutoGen, or LangGraph.
Strong knowledge of Azure AI Search, embeddings, vector-based retrieval, and RAG patterns.
Strong Azure architecture experience, including VNets, private endpoints, Microsoft Entra ID, managed identities, RBAC, Azure Key Vault, and Azure Monitor.
Proficiency in Python and/or C#/.NET, with experience using Foundry/Azure AI SDKs and REST APIs.
Experience with Infrastructure as Code using Terraform or Bicep, CI/CD pipelines, Git, and Agile delivery practices.
Ability to communicate complex architecture decisions clearly to both technical and non-technical stakeholders.
Strong collaboration and communication skills within cross-functional teams.

Nice to Have

Microsoft certifications such as Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert (AZ-305), or equivalent.
Experience with Model Context Protocol (MCP) servers, tool integration, and agent-to-agent (A2A) patterns.
Experience deploying containerized or hosted agents using Azure Container Apps or Azure Kubernetes Service (AKS).
Experience with model fine-tuning, distillation, and provisioned throughput (PTU) capacity planning.
Experience with AI evaluation, red-teaming, and content safety tooling such as Azure AI Evaluation SDK, PyRIT, and Azure AI Content Safety.
Experience integrating AI solutions with Microsoft 365 Copilot, Copilot Studio, or Power Platform.
Familiarity with the Azure Well-Architected Framework, Cloud Adoption Framework AI guidance, and Microsoft Responsible AI practices.
Experience working in regulated or compliance-focused environments such as insurance, healthcare, government, or financial services.
Demonstrated ability to define and document engineering standards, playbooks, ADRs, runbooks, and reference architectures.

Affinity Earn

Know someone who’s great for this, or any of our open roles? Earn up to $4,000/year for each successful referral through Affinity Earn. You can also earn up to $50,000 for helping us find new clients. Learn about our referral program at https://affinity-group.ca/earn/ or browse our jobs & follow us at https://www.linkedin.com/company/affinity-staffing/jobs/

About Affinity

Affinity Group is a technology and business consulting and services company. We believe in creating long term relationships between clients and consultants that foster a mutually beneficial partnership. Affinity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit and business need.

For more information on Affinity, please visit www.affinity-group.ca

Job Number: 14151

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More about this job

Responsibilities

Architect and implement secure, scalable Microsoft Foundry solutions, including AI agents, RAG applications, model deployments, and enterprise integrations. Establish reusable architecture standards, security and evaluation controls, observability, cost management, automated deployment practices, and provide technical guidance to delivery teams.

Requirements

Requires 8+ years of cloud architecture, software engineering, or platform engineering experience, including 2+ years delivering AI/LLM solutions and hands-on experience with Microsoft Foundry or related Azure AI services. Candidates should have strong Azure security and architecture knowledge, experience with agents and RAG, proficiency in Python and/or C#/.NET, and experience with IaC and CI/CD; a STEM undergraduate degree or equivalent experience is specified.

Skills

Microsoft Foundry Architecture
Azure AI Foundry
AI Agent Development
Retrieval-Augmented Generation
Azure AI Search
Azure Architecture
Python
C#/.NET
Semantic Kernel
AutoGen
LangGraph
Infrastructure as Code
Terraform
Bicep
CI/CD
AI Evaluation

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Foundry
Azure AI Foundry
Azure OpenAI
Foundry Agent Service
AI Agents
Retrieval-Augmented Generation
Azure AI Search
Semantic Kernel
Microsoft Agent Framework
AutoGen
LangGraph
Model Context Protocol
Azure Functions
Logic Apps
Microsoft Entra ID
Managed Identities
Role-Based Access Control
Azure Key Vault
Azure Monitor
Application Insights
OpenTelemetry
Python
C#/.NET
Terraform
Bicep
Azure DevOps
GitHub Actions
Azure AI Evaluation SDK
Azure AI Content Safety
Responsible AI

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