Senior Azure Applications and AI Platform Specialist

Job not on LinkedIn

🔥 18 minutes ago

🇨🇦 Canada – Remote

⏳ Contract/Temporary

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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📋 Description

• Assess existing Azure and AI environments, identify technical and security gaps, and recommend target architectures and implementation plans • Design, deploy, and integrate document extraction and processing solutions using Azure AI Document Intelligence and OCR • Configure and manage Microsoft Foundry resources, AI projects, model deployments, AI agents, service connections, networking, identity, monitoring, and governance controls • Implement Microsoft Entra ID 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 • Implement security, privacy, data governance, and responsible AI controls throughout the solution lifecycle • Validate solution quality, performance, availability, security, scalability, supportability, and cost before production deployment • Automate infrastructure provisioning 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 limits • Develop 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 • Provide knowledge transfer and coach internal teams to maintain, operate, and extend the AI platform

🎯 Requirements

• Experience designing, implementing, securing, and supporting enterprise-grade AI solutions on Microsoft Azure and Microsoft Foundry • Strong Azure architecture expertise • Hands-on experience delivering production-ready AI platforms • Understanding of enterprise security, identity management, application integration, and cloud operations • Experience 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 • Knowledge of Azure databases, Azure Monitor, Application Insights, Log Analytics, backup, resiliency, and cost optimization • Hands-on experience 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

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