NI

Senior Azure AI Solutions Engineer

New Integrated Learning Center

Greater Toronto Area, CAhybrid$125k-$165k/yrPosted Aug 4, 2026
Posting intelligenceActively listed

Skills

azure devopskubernetesterraformlangchaingithubpythonopenaiazurec#

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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