Senior Azure Applications and AI Platform Specialist

This is a fully remote position, open to applicants in Canada.

📋 Description

• Evaluate current Azure and AI environments, pinpoint technical and security deficiencies, and propose target architectures along with implementation strategies.

• Design, deploy, and integrate solutions for document extraction and processing utilizing Azure AI Document Intelligence and OCR technology.

• Configure and oversee Microsoft Foundry resources, AI projects, model deployments, AI agents, service connections, networking, identity management, monitoring, and governance controls.

• Implement Microsoft Entra ID for authentication, enterprise single sign-on (SSO), and secure authorization for downstream APIs and data sources.

• Integrate AI services with enterprise applications, REST APIs, databases, document repositories, and search indexes.

• Enforce security, privacy, data governance, and responsible AI measures throughout the entire solution lifecycle.

• Validate the quality, performance, availability, security, scalability, supportability, and cost-effectiveness of solutions prior to production deployment.

• Automate the provisioning of infrastructure and application deployments using Infrastructure as Code and CI/CD pipelines.

• Monitor and troubleshoot production applications, identity integrations, AI agents, search indexes, endpoints, latency, capacity, and service limitations.

• Create architecture diagrams, deployment guides, configuration records, operational runbooks, support procedures, and technical documentation.

• Collaborate with application, infrastructure, security, and support teams to ensure successful implementation and operational readiness.

• Facilitate knowledge transfer and mentor internal teams to maintain, operate, and extend the AI platform.

⛳️ Requirements

• Proven experience in designing, implementing, securing, and supporting enterprise-grade AI solutions on Microsoft Azure and Microsoft Foundry.

• Strong expertise in Azure architecture.

• Practical experience in delivering production-ready AI platforms.

• Knowledge of enterprise security, identity management, application integration, and cloud operations.

• Familiarity with Azure subscriptions, resource groups, and cloud architecture.

• Experience with Azure networking, private endpoints, DNS, Key Vault, Storage, App Service, Azure Functions, and API Management.

• Understanding of Azure databases, Azure Monitor, Application Insights, Log Analytics, backup, resiliency, and cost optimization.

• Hands-on experience in designing, implementing, and supporting Microsoft Foundry / Azure AI Foundry solutions.

• Experience with AI projects, model deployments, connections, quotas, access controls, networking, and environment separation.

• Knowledge of Azure AI Search, Azure Machine Learning, Azure AI Content Safety, and Document Intelligence.

• Understanding of AI agents, grounding, output validation, prompt-injection controls, and responsible AI practices.

🏝️ Benefits

• No benefits or compensation extras specified.