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Azure Cloud AI Technical Architect
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Job Information
Date Opened
11/19/2025
Job Type
Full time
Job Opening Status
In-progress
Work Experience
5+ years
Industry
IT Services
City
Abu Dhabi
State/Province
Abu Dhabi
Country
United Arab Emirates
Zip/Postal Code
51133
About Us
Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.
Job Description
We are seeking a highly skilled and experienced Azure Technical Architect with a minimum of 10 years of hands-on experience in Microsoft Azure. The ideal candidate should possess excellent inter-company communication skills, demonstrated experience in designing and implementing complex Azure-based solutions, and a solid understanding of AI platforms (HPC/AI), including Microsoft AI, Cerebras, Fluid Stack and AMD-based architectures.
Key Responsibilities
- Design, 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.
- Architect and lead complex application modernization journeys, including the decomposition of monolithic applications (e.g., legacy .NET apps) into scalable, secure, and cost-effective microservices on Azure.
- 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.
Requirements
- Bachelor’s or master’s degree in computer science, Information Technology, or related field.
- Minimum 6 years of relevant hands-on experience with Microsoft Azure as architect or in Senior role.
- Microsoft Certified: Azure Solutions Architect Expert certification (required).
- 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.
- Ability to collaborate across multiple business units and technical teams.
- Strong presentation and documentation skills.
- Experience working in multi-cloud or hybrid cloud environments.
- High level of curiosity and adaptability to new technologies.
- End-to-end Azure Infrastructure & Networking management (compute, storage, VNet, load balancing, security)
- Application & Data services including App Services, AKS, SQL, and monitoring/automation frameworks.
- Security, IAM & Governance with Azure AD, Defender, Sentinel, Policies, and backup solutions.CI/CD, Automation & AI/ML using
Azure DevOps, IaC tools, and Azure AI/Cognitive/OpenAI.
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