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Azure Enterprise Architect - Full Stack & AI Solutions (Canada)

Toronto Full-time AI Solutions Lead
Salary
$131,000-$156,000/yr
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Original posting on LinkedIn

This position is open to candidates based in any market with an Avanade presence - Montreal, Ottawa, Toronto, Calgary, or Vancouver

We are seeking a highly experienced Azure Enterprise Architect with a strong full stack engineering background and deep expertise in Microsoft Azure cloud architecture, enterprise application modernization, AI/GenAI solutions, Infrastructure as Code (IaC), and large-scale delivery leadership.

The ideal candidate will possess 15+ years of progressive experience designing and delivering enterprise-grade solutions while leading distributed engineering teams across onshore and offshore models. This individual will serve as the primary technical authority for strategic initiatives, guiding architecture decisions, mentoring engineering teams, engaging directly with executive stakeholders, and ensuring successful project execution from inception through production.

This is a hands-on leadership role requiring deep technical expertise across cloud, application development, infrastructure, networking, DevOps, and AI platforms.

Responsibilities

Architect, design, and oversee enterprise-scale cloud-native solutions on Microsoft Azure aligned with business and technology strategies.
Lead architecture and delivery for complex full stack applications using modern frontend technologies including React, Angular, TypeScript, and mobile frameworks when required.
Provide technical leadership across backend platforms utilizing .NET, C#, Python, Node.js, microservices, APIs, event-driven architectures, and distributed systems.
Own end-to-end Azure architecture including networking, security, governance, identity management, observability, resilience, performance, and cost optimization.
Define and implement enterprise Infrastructure as Code (IaC) standards using Terraform, Bicep, ARM Templates, and Azure DevOps pipelines.
Lead architecture reviews, technical design sessions, and solution governance processes across multiple concurrent projects.
Drive application modernization initiatives, cloud migrations, and hybrid cloud integration strategies.
Guide engineering teams in designing and implementing AI and Generative AI solutions leveraging Azure OpenAI, Azure AI Services, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), vector databases, and enterprise AI architectures.
Establish architecture standards, engineering best practices, coding standards, security requirements, and cloud governance frameworks.
Collaborate closely with client executives, business stakeholders, product owners, program managers, and engineering leadership to ensure successful delivery outcomes.
Lead globally distributed teams including architects, developers, DevOps engineers, data engineers, and QA resources across onshore and offshore delivery models.
Drive Agile and Scrum practices while providing delivery oversight, risk management, estimation, roadmap planning, and technical project leadership.
Mentor architects and senior engineers while establishing a culture of technical excellence and continuous improvement.
Evaluate emerging technologies and develop strategic recommendations aligned with organizational objectives.
Ensure solutions comply with enterprise security, compliance, privacy, governance, and regulatory requirements.

Qualifications

Required

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
Minimum 15 years of professional software engineering and solution architecture experience with at least 8 years architecting enterprise solutions on Microsoft Azure.
Proven experience serving as a Lead Architect, Enterprise Architect, Chief Architect, or Principal Architect for large-scale enterprise programs.
Deep expertise in Microsoft Azure services including:
Azure App Services and Azure Functions
Azure API Management
Azure OpenAI, Azure Generative AI Services
Azure Storage, KeyVault and Containers
Azure SQL, Cosmos DB
Service Bus, Event Hub
Azure Landing Zones
Azure Virtual WAN and Azure Networking Services
Azure Monitor
AKS is a plus

Strong hands-on experience developing and architecting solutions using:
.NET / C#, Python, Node.js
REST APIs
GraphQL
Microservices architectures

Strong frontend architecture experience with:
React, Angular, TypeScript
Modern UI/UX frameworks

Demonstrated expertise designing enterprise Infrastructure as Code solutions using:
Terraform, Bicep or ARM Templates

Deep understanding of Azure networking including:
Virtual Networks, VPN
Private Endpoints
ExpressRoute
DNS
Load Balancers
Application Gateway
Azure Firewall
Network Security Architecture

Strong experience implementing DevOps and platform engineering practices using:
Azure DevOps
GitHub Actions
CI/CD
Infrastructure Automation
Release Management
Extensive experience with cloud security, identity, and governance including:
Microsoft Entra ID, RBAC, Managed Identities
Azure Policy
Defender for Cloud
Proven success leading geographically distributed engineering teams and coordinating complex delivery efforts across multiple workstreams.
Outstanding executive communication, presentation, stakeholder management, and client-facing skills.
Experience managing architecture roadmaps, project risks, technical dependencies, budgets, and delivery timelines.
Strong Agile delivery background with experience operating within Scrum and enterprise-scale Agile frameworks.
Preferred Qualifications

Azure Solutions Architect Expert Certification (AZ-305).
Azure Developer Associate Certification (AZ-204).
Azure DevOps Engineer Expert Certification (AZ-400).
Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent Agile certification.
Experience designing and implementing Agentic AI solutions and multi-agent architectures.

Hands-on Experience With

Azure OpenAI, Microsoft Agent Framework (Semantic Kernel, LangChain, AutoGen)
Microsoft Copilot Studio
AI Foundry
Experience developing Retrieval-Augmented Generation (RAG) solu

Listing structured with AI support from LinkedIn. Always confirm the conditions with the company before applying.
FAQ

Frequently asked questions

Who offers this AI Solutions Lead role in Toronto?

The role is posted by Avanade from LinkedIn. aiManagerJobs is a directory that collects, structures and links to the original source, it is not the employer. Hiring is handled by the company.

How much does this AI Solutions Lead role pay?

The salary stated in the posting is $131,000-$156,000/yr. It is indicative and worth confirming with Avanade before applying.

What type of role is it?

This is a ai solutions lead position on a full-time basis in Toronto. The exact schedule and conditions are in the original posting from the company.

How do I apply for this role in Toronto?

Use the apply button to go to the original source (LinkedIn) and follow the company instructions. You can also create an alert and receive new Toronto roles by email.

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