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Added 2 days ago
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Senior Manager, AI Engineering (AML &Fraud)
RBC
Vancouver, BC
- Full-time
…machine learning, and emerging technologies, while driving the integration of CNB US Functions technology in Fraud and AML with RBC Enterprise offerings and taking ownership of the…
Added 2 days ago
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IT Reporting & Analytics Consultant-L2
Microserve
BC · British Columbia, Canada
- Contract
The IT Reporting and Analytics Consultant Level 2 is responsible for the integration, design, development and implementation of reporting and analytics solutions to support business…
Added 2 days ago
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Lead, Full Stack Engineer
RBC
Vancouver, BC
- Full-time
You will work at the core of data, APIs, and web services, delivering secure, high-impact integration across SSO, security, and messaging through Kafka or MQ. You will drive and lead the…
Added 2 days ago
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RQ11676 – Software Developer – ETL – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Intermediate Software Developer – ETL (Power BI Developer) with strong expertise in Microsoft Power BI, DAX, Power Query (M), SQL, data modelling, and…
Added 2 days ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…optimizing Oracle Fusion Recruiting Cloud, managing Oracle Integration Cloud (OIC) interfaces, configuring identity management integrations, and providing production support for enterprise…
Added 2 days ago
SM
RQ11487 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Software Developer – ETL with strong expertise in Azure data technologies, data engineering, ETL development, Microsoft Fabric, Azure Databricks,…
Added 2 days ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 2 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 2 days ago
SM
RQ11843 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Software Developer with strong expertise in developing, designing, implementing, and maintaining n-tier enterprise applications. The ideal…
Added 2 days ago
Senior Software Engineer (.NET)
Electronic Arts
Vancouver, BC
8+ years of source control management experience including advanced concepts like branching strategies and developer workflows
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Report Developer - Junior
Joblinxsapp
Toronto, ON
- Full-time
The organization is seeking a Junior Report Developer / Data Engineer to develop, maintain, and optimize enterprise data solutions using Azure cloud technologies.
Added 2 days ago
CC
Data Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
Support legacy data platforms and integration processes as required
Added 2 days ago
CC
Data Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
Support legacy data platforms and integration processes as required
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Microsoft Foundry Architect
Affinity
Vancouver, BC
- Contract
…environment segregation (development, test, production), and integration with existing Azure landing…
Added 2 days ago
CC
Data Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
Support legacy data platforms and integration processes as required
Added 2 days ago
CC
Data Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
Support legacy data platforms and integration processes as required
Added 2 days ago
CC
Data Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
Support legacy data platforms and integration processes as required
Added 2 days ago
CC
Data Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
Support legacy data platforms and integration processes as required
Added 2 days ago
CC
Data Engineer
Canadian Cancer Society
St. John's, NL
- Full-time
Support legacy data platforms and integration processes as required
Added 2 days ago
Staff Software Engineer, Integration Network (OIN)
Okta
Toronto, ON
Experience designing and evolving APIs and integration frameworks that external developers or partners build on, not just internal consumers. You think about backward compatibility,…
Added 2 days ago
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Junior Report Developer
Dawn InfoTek
Toronto, ON
- Contract
We are currently seeking a highly skilled Report Developer to join our dynamic team and support one of our clients.
Added 2 days ago
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Systems Administrator
vTech Solution Canada
Toronto, ON
- Contract
Support and monitor Oracle Integration Cloud (OIC) interfaces and integrations between Oracle Recruiting Cloud and enterprise systems.
Added 2 days ago
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Azure BSA ( Hybrid )
Cognizant
Toronto, ON
- Full-time
Azure (ingestion/extraction),python, ETL, Unix, SQL,Shell scripting, pyspark, synapse, ADB, ADLS experience
Added 2 days ago
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Full Stack Developer
Spait Infotech
Canada
- Full-time
Perform unit testing, integration testing, debugging, and code reviews.

Affinity

Microsoft Foundry Architect

Vancouver, BC, Canada

Contract

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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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