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, Dev

Ops, 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, Type

Script, 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 Dev

Ops 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, Dev

Ops 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.

Equal Employment Chance Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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📌 Azure Enterprise Architect - Full Stack & AI Solutions (Canada) (Toronto)
🏢 Avanade
📍 Toronto