This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Azure Solution/Data Architect based in Canada. This is a senior technical leadership role focused on designing and delivering scalable, cloud-native data and AI solutions on Microsoft Azure. The architect will play a key role in shaping enterprise-grade architectures that combine modern data engineering practices with cutting-edge generative AI and agentic systems. The position involves working across complex distributed environments to enable intelligent, autonomous workflows powered by LLMs and AI agents. You will collaborate closely with cross-functional teams to translate business needs into robust technical solutions. The role offers the opportunity to drive innovation in AI-driven architecture while ensuring performance, scalability, and governance. You will also influence best practices in cloud architecture and AI adoption across enterprise ecosystems. \n

Accountabilities: Design and implement end-to-end cloud architectures using Microsoft Azure, ensuring solutions are scalable, secure, and cost-efficient while aligned with business goals. Architect AI-driven and agentic systems capable of autonomous task execution, workflow orchestration, and intelligent decision-making across enterprise environments. Develop integration patterns for Large Language Models (LLMs), APIs, and enterprise applications to enable seamless data and intelligence flow. Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Azure AI Search and Cosmos DB. Design and implement multi-agent frameworks leveraging Azure OpenAI, Semantic Kernel, LangChain, and Copilot-based architectures. Integrate AI agents with enterprise data platforms including Azure Data Factory, Synapse Analytics, Databricks, and ADLS Gen2. Establish CI/CD pipelines and deployment automation using Azure DevOps and/or GitHub Actions. Ensure responsible AI practices, including governance, safety guardrails, and compliance standards across all AI solutions. Requirements 8+ years of experience in Microsoft Azure cloud architecture and distributed systems design. 5+ years of experience in data engineering platforms such as Azure Data Factory, Synapse Analytics, and Azure Databricks. Strong background in data modeling approaches including dimensional modeling and Data Vault. 5+ years of experience developing AI-powered applications, including agentic systems and GenAI solutions. Deep understanding of Large Language Models (LLMs), prompt engineering, and RAG architectures. Hands-on experience with Azure OpenAI, OpenAI APIs, and frameworks such as LangChain and Semantic Kernel. Experience working with vector databases (e.g., Azure AI Search, Pinecone) and multi-agent orchestration patterns. Strong programming skills in Python and SQL, with experience in REST APIs and SDK integrations. Excellent analytical thinking, problem-solving ability, and capability to translate business needs into technical solutions. Strong communication, stakeholder management, and technical leadership skills. Azure certifications (AZ-305, DP-203, AI-102) are preferred. Experience delivering enterprise GenAI, Copilot, or multi-cloud AI solutions is an asset. Benefits Competitive hourly compensation ranging from $80–$90/hour (Canada-based role). Remote-friendly work environment with flexible arrangements. Eligibility for Employee Assistance Program (EAP) and discount perks. Comprehensive benefits package including medical, dental, and vision coverage (depending on engagement terms). Additional protections such as life insurance, disability coverage, and paid time off (where applicable). Access to global-scale enterprise projects in cloud, data, and AI innovation. Opportunities for continuous learning, certification support, and professional development.

\n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1