Azure AI Technical Architect (Onsite - Abu Dhabi, UAE)

Key ResponsibilitiesDesign, implement, and maintain end-to-end Azure solutions across various Azure services.Continuously assess the health of Azure services and infrastructure using Azure Service Health, Resource Health, and Azure Monitor. Proactively identify potential issues and outages, minimizing downtime and ensuring service reliability.Analyze performance metrics across compute, storage, network, and application layers & Identify bottlenecks and performance gaps, recommending and implementing tuning strategies.Translate complex business requirements into scalable, secure, and reliable Azure architecture designs.Design end-to-end migration solutions for complex, multi-tier enterprise workloads, ensuring minimal business disruption and maximizing the return on cloud investment.Evaluate application portfolios to provide strategic recommendations on migration paths: Rehost (lift-and-shift), Refactor, Rearchitect (to microservices), or Rebuild.Act as a technical advisor to internal stakeholders and external and partner stakeholders. Drive cloud adoption strategies and lead Azure cloud migration and modernization initiatives.Collaborate with development, DevOps, AI/ML, and security teams to ensure optimal cloud architecture and deployment practices.Provide architectural governance and ensure compliance with best practices, standards, and security policies.Produce high-quality documentation, architecture diagrams, and solution blueprints.Guide and mentor technical teams and conduct architectural reviews.Stay current on the latest developments in Azure services and AI technologies.QualificationsBachelor’s or master’s degree in computer science, Information Technology, or related field.Should have overall experience of 12+ years with relevant experience of 6+ years in Azure Cloud and 2+ years’ of experience in AI.Microsoft Certified: Azure Solutions Architect Expert certification is preferred.Strong understanding of cloud architecture, networking, security, and automation.Demonstrated experience with AI/ML solutions and integrations.Excellent written and verbal communication skills with the ability to engage both technical and non-technical stakeholders.Strong problem-solving skills and ability to work independently and as part of a team.