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Added 5 hours ago
FT
Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including
Added 5 hours ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including
Added 11 hours ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for an experienced DevOps Engineer with 10+ years of experience in DevOps engineering, CI/CD automation, infrastructure management, containerization, orchestration, and…
Added 11 hours 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 11 hours ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for an experienced DevOps Engineer with 10+ years of experience in DevOps engineering, CI/CD automation, infrastructure management, containerization, orchestration, and…
Added 11 hours 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 11 hours 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 11 hours ago
H
eTrading Full Stack Engineering - Network
HSBC
Toronto, ON
- $91,600 to $137,300 CAD / year
- Full-time
Engineer secures and resilient client-facing connectivity using appropriate routing segmentation and redundancy patterns and coordinate requirements testing and implementation with clients…
Added 11 hours ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are looking for an experienced DevOps Engineer with 10+ years of experience in DevOps engineering, CI/CD automation, infrastructure management, containerization, orchestration, and…
Added 15 hours ago
HB
Senior Linux Platform Engineer - Trading Firm - $150,000-$350,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $150,000 to $350,000 CAD / year
- Full-time
Skills: Linux, Python, Ansible, Chef, Storage, Observability, Cloud
Added 21 hours ago
E
Senior Java Developer - Core/Infra - Elasticsearch
Elastic
Canada
- Full-time
…Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of…
Added 23 hours 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 1 day ago
Senior Full-Stack Developer
The Aldo Group Inc / Le Groupe Aldo Inc.
Montreal, QC
This role requires a versatile engineer who can contribute across backend services, e-commerce storefronts, integrations, and mobile applications. While the initial focus is expected to be…
Added 1 day ago
T
Staff Software Engineer, Mobile (P4)
Twilio
Remote, Canada
- Full-time
- Remote
Join the team as Twilio's next Staff Mobile Software Engineer for Stytch, where you'll shape the next generation of identity and fraud prevention products.
Added 1 day 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 1 day ago
SO
Senior Software Engineer, Dentrix Ascend
Software of Excellence
Surrey, BC
- Full-time
We are looking for a Senior Software Engineer to join our True North team and help build and evolve Dentrix Ascend for the US market.
Added 1 day ago
A
Microsoft Foundry Architect
Affinity
Vancouver, BC
- Contract
Implement AI observability and tracing using OpenTelemetry, Azure Monitor, and Application Insights, including token consumption, latency, failure analysis, and trace correlation.
Added 1 day ago
HB
Senior Linux Platform Engineer - Trading Firm - $150,000-$350,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $150,000 to $350,000 CAD / year
- Full-time
Skills: Linux, Python, Ansible, Chef, Storage, Observability, Cloud
Added 1 day ago
Staff Software Engineer, Integration Network (OIN)
Okta
Toronto, ON
As a Staff Software Engineer on the OIN team, you'll be a technical leader for a platform a very large share of Okta's customers depend on every day. You'll independently own complex,…
Added 1 day ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Added 1 day ago
ES
Advanced DevOps Engineer - EA Sports Technology
EA SPORTS
Vancouver, BC
- Full-time
The EA SPORTS™ Technical Team is seeking an experienced DevOps Engineer to join the organization. This role is ideal for someone with a strong passion for technology and deep experience…
Added 1 day ago
ES
Senior DevOps Engineer - EA Sports Technology
EA SPORTS
Vancouver, BC
- Full-time
The DevOps team is looking for an experienced DevOps Engineer to join our team. We’re looking for candidates with experience designing, deploying, and operating solutions in a public cloud…
Added 1 day ago
R
Kubernetes Administrator
Raise
Calgary, AB
- Full-time
Implement and manage enterprise monitoring, alerting, logging, and observability solutions.
Added 1 day ago
Senior DevOps Engineer - EA Sports Technology
Electronic Arts
Vancouver, BC
The DevOps team is looking for an experienced DevOps Engineer to join our team. We’re looking for candidates with experience designing, deploying, and operating solutions in a public cloud…
Added 1 day ago
B
Machine Learning Engineer
Bevertec
Toronto, ON
- Contract
Job Title: Machine Learning Engineer (Azure AI / MLOps)

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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