Senior Azure AI Solutions Engineer
Skills
About the role
Senior Azure AI Solutions Engineer
Build the Next Generation of Enterprise AI Solutions
About AirGate
AirGate Technologies is a Canadian-owned Microsoft Solutions Partner specializing in Azure Infrastructure, Security, Data & AI, Modern Work and Managed Services.
We help organizations across healthcare, government, financial services, manufacturing and commercial sectors modernize their technology using Microsoft Azure.
Our team designs and delivers secure enterprise Azure platforms, Microsoft Fabric environments, AI solutions, enterprise networking, cybersecurity and managed cloud services.
As we continue to our Data & AI Practice, we're looking for an experienced Senior Azure AI Solutions Engineer to help customers transform the way they work through Microsoft AI technologies.
Position Summary
The Senior Azure AI Solutions Engineer designs, builds and deploys enterprise AI solutions using Microsoft Azure technologies.
This is a senior consulting role combining AI solution architecture, hands-on engineering and customer advisory services.
Unlike traditional software development roles, you'll work directly with customers to understand business problems, design secure AI solutions, build production-ready implementations and support successful adoption.
Alongside our Lead AI Architect, you'll collaborate closely with our Infrastructure, Networking, Security and Data Platform teams to ensure every AI solution is secure, scalable and operationally ready.
Mission
Build secure, practical and production-ready AI solutions that deliver measurable business value while establishing AirGate as one of Canada's leading Microsoft AI consulting partners.
Key Responsibilities
Enterprise AI Solution Delivery
Design, build and deploy enterprise AI solutions using Microsoft technologies including:
Azure AI Foundry
Azure OpenAI Service
Azure AI Search
Microsoft Copilot Studio
Azure AI Services
Azure AI Content Understanding
Azure AI Document Intelligence
Azure AI Speech
Azure AI Vision
Azure AI Language
Azure AI Translator
Build solutions including:
AI Assistants
AI Agents
Knowledge Assistants
Employee Copilots
Customer Service Agents
Document Intelligence
AI Search solutions
Workflow automation
Multi-agent solutions
Human-in-the-loop workflows
AI Engineering
Design and develop production-ready AI applications including:
Retrieval-Augmented Generation (RAG)
Agentic AI solutions
Prompt engineering
Prompt evaluation
Semantic search
Vector search
Model orchestration
AI workflow automation
Model Context Protocol (MCP)
AI evaluation and testing
AI observability
API integrations
Application Development
Develop secure enterprise AI applications using:
Python
C#
.NET
REST APIs
Azure Functions
Azure Container Apps
Git
Azure DevOps
GitHub
Infrastructure as Code
Customer Consulting
Work directly with customers to:
Understand business challenges
Facilitate AI discovery workshops
Identify AI opportunities
Design solution architectures
Demonstrate prototypes
Lead technical implementation
Deliver knowledge transfer
Support AI adoption
Present to technical and executive audiences
AI Security & Governance
Ensure every AI solution aligns with Microsoft and AirGate best practices by implementing:
Responsible AI principles
Secure prompt design
Identity and access controls
Data protection
Private networking
Azure Key Vault
AI governance
Model monitoring
Security best practices
Compliance requirements
Human oversight and approval workflows
Apply security best practices to every AI solution from design through production deployment.
Collaboration
Work closely with AirGate's:
Data Platform Team
Azure Infrastructure Team
Security Team
Networking Team
Customer Delivery Managers
Principal Enterprise Architect
Supporting projects involving:
Microsoft Fabric
Azure Landing Zones
Azure Kubernetes Service (AKS)
Azure Red Hat OpenShift (ARO)
Azure Virtual Desktop
Enterprise networking
Managed Services
Cloud modernization
Security modernization
Hands-On Delivery
This is a hands-on consulting role.
You'll be expected to:
Build production AI solutions.
Develop AI workflows and integrations.
Configure Azure AI services.
Write application code where required.
Build reusable components.
Integrate AI with Microsoft 365, Dynamics 365, Power Platform and custom applications.
Troubleshoot AI deployments.
Participate in customer workshops.
Create technical documentation.
Mentor junior engineers.
Innovation & Practice Development
Approximately 10–15% of your time will focus on growing AirGate's AI practice by:
Developing reusable AI accelerators.
Building deployment templates.
Creating demonstration environments.
Evaluating new Microsoft AI capabilities.
Improving delivery methodologies.
Contributing to AI standards and governance.
Delivering internal technical training.
Supporting pre-sales engagements.
Publishing technical best practices.
Required Qualifications
5+ years of software engineering or cloud application development experience.
2+ years building Azure AI or Generative AI solutions.
Strong Azure experience.
Strong Python development skills.
Experience with Azure OpenAI Service.
Experience building Retrieval-Augmented Generation (RAG) solutions.
Experience integrating enterprise applications through APIs.
Strong troubleshooting skills.
Experience working directly with customers in consulting or solution delivery roles.
Preferred Qualifications
Experience with:
Azure AI Foundry
Microsoft Copilot Studio
Azure AI Search
Semantic Kernel
LangChain
Azure Functions
Azure Container Apps
GitHub Copilot
Microsoft Fabric
Power Platform
Azure DevOps
Bicep or Terraform
Azure networking fundamentals
AI security and governance
Microsoft AI certifications are highly desirable.
Key Performance Indicators
Success in this role will be measured by:
Customer Success
Customer Satisfaction (CSAT)
AI solution adoption
Business outcomes achieved
Executive customer feedback
Delivery Excellence
Successful AI deployments
Delivery quality
Documentation quality
Operational readiness
Production stability
Technical Excellence
AI solution quality
Reusable component development
Innovation
Automation
AI security implementation
Practice Development
Knowledge sharing
Internal mentoring
AI accelerators created
Demonstration environments
Technical presentations
Contributions to delivery methodology
Compensation
Base Salary + Performance Bonus based on:
Customer Satisfaction
Delivery Quality
Practice Development
Innovation
Knowledge Sharing
Mentoring
Automation
Business Contribution
Additional benefits include:
Fully remote (Canada)
Microsoft certification support
Professional development budget
Access to the latest Microsoft AI technologies
Flexible work environment
Opportunity to work on some of Canada's most advanced and exciting Azure AI projects
Career Growth
You'll join AirGate's growing Data & AI Practice and work alongside senior architects delivering cutting-edge AI solutions for customers across Canada.
As AirGate grows, you'll have opportunities to:
Lead increasingly complex AI programs.
Design enterprise AI architectures.
Build reusable AI frameworks and accelerators.
Mentor the next generation of AI consultants.
Shape AirGate's AI delivery methodology.
Grow into a Lead AI Architect or Principal AI Architect role.
Why Join AirGate?
This isn't a research role.
This isn't a software factory.
This is an opportunity to help organizations transform how they work using Microsoft's AI platform.
You'll work on real customer challenges, collaborate with experts across networking, infrastructure, security and data, and help build secure, production-ready AI solutions that create measurable business value.
If you're passionate about Azure AI, solving complex business problems, staying hands-on with the latest Microsoft technologies and helping shape the future of enterprise AI, we'd love to meet you.
Pay: $125,000.00-$165,000.00 per year
Benefits:
Casual dress
Company events
Dental care
Extended health care
Flexible schedule
Paid time off
Vision care
Work from home
Education:
Bachelor's Degree (preferred)
Experience:
Azure AI Foundry or equivalent: 2 years (required)
Cloud Application Development and Architecture: 5 years (required)
Azure Data Platform: 5 years (required)
Location:
Greater Toronto Area, ON (required)
Work Location: Hybrid remote in Greater Toronto Area, ON
Compensation
This Solutions Engineer role pays $125k-$165k/yr. Within typical range for solutions engineer roles in Canada.
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