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data ai architect microsoft azure

COZMALABS

We are seeking an experienced Data &amp; AI Architect &ndash; Microsoft Azure to design, architect, and lead the implementation of scalable, secure, and high-performing data and artificial intelligence solutions on the Azure platform. The ideal candidate will work closely with business stakeholders, data engineers, data scientists, and application teams to translate business requirements into modern cloud-based data and AI architectures that drive insights and innovation.Experience<ul><li>7&ndash;10 years of experience as a Data Architect on Microsoft Azure.</li><li>hands-on experience in AI/ML solutioning in Microsoft Azure.</li><li>Proven experience designing enterprise-scale cloud data platforms.</li></ul>Technical &amp; Cloud Skills<ul><li>Azure Databricks (Spark, Delta Tables)</li><li>Azure Synapse Analytics (Dedicated &amp; Serverless SQL)</li><li>Azure Data Factory</li><li>Microsoft Fabric (Lakehouse, OneLake, Warehouse)</li><li>Experience with Azure SQL, Synapse SQL, and other analytical databases (Snowflake is a plus).</li><li>Strong knowledge of Azure services including Azure AI, Azure ML, Data Factory, and Cognitive Services.</li><li>Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI</li></ul>Key Responsibilities<ul><li>Define and own end-to-end data architecture using Azure Synapse, Databricks, Azure Data Factory, Power BI, and Microsoft Fabric</li><li>Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies.</li><li>Provide LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation</li><li>Design data models, Lakehouse, and data warehouse architectures for structured and semi-structured data</li><li>Architect and govern ETL/ELT pipelines using ADF, Databricks, Synapse Pipelines, and Fabric Data Pipelines.</li><li>Implement data security, governance, and access controls across cloud data platforms.</li><li>Provide architectural guidance and optimized solutions for complex data engineering challenges.</li><li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike</li></ul>Job Type: Full-timeWork Location: In person

Data & AI Architect – Microsoft Azure

Protiviti Middle East Member Firm

<div>
 
 
 Overview:
 
 
 
 We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 
 
 
 
 
 The ideal candidate should have broad exposure across the Data &amp; AI lifecycle - from data strategy and governance to architecture, engineering, and advanced analytics - while specializing in at least one of the following areas: (1) Data Strategy &amp; Governance, or (2) Data Management, or (3) Data Science/AI/ML Engineering. Candidate should be bilingual with full proficiency in Arabic and English.
 
 
 
 
 This role requires strong technical depth, consulting acumen, and client-facing communication skills. The consultant will work with diverse clients across industries, driving enterprise data and AI transformation programs. The role is based in Doha, with travel expected to other Middle Eastern client locations as required.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <ul>
 <li>
 Develop and implement enterprise-wide data and AI strategies aligned with business goals.
 </li>
 <li>
 Assess organizational data &amp; AI maturity and define transformation roadmaps.
 </li>
 <li>
 Advise clients on data lifecycle management, and responsible AI adoption.
 </li>
 <li>
 Conduct workshops with CXOs and business leaders to align business priorities with data &amp; AI initiatives.
 </li>
 </ul>
 
 
 
 
 
 2. Data Architecture &amp; Engineering
 
 
 <ul>
 <li>
 Design and implement modern data platforms on Microsoft Azure, ensuring scalability, performance, and compliance.
 </li>
 <li>
 Develop conceptual, logical, and physical data models for operational and analytical use cases.
 </li>
 <li>
 Architect data pipelines for batch and real-time ingestion using Azure Data Factory, Synapse, Databricks, and related tools.
 </li>
 <li>
 Implement data quality, metadata management, and lineage tracking leveraging Azure Purview or equivalent governance tools.
 </li>
 <li>
 Collaborate with AI teams to enable data readiness for AI/ML workloads and ensure seamless integration across the ecosystem.
 </li>
 </ul>
 
 
 
 
 
 3. AI &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Lead AI/ML solution design and deployment, translating business problems into technical AI solutions.
 </li>
 <li>
 Build and operationalize machine learning and Generative AI use cases on Azure (e.g., Azure Machine Learning, OpenAI, Cognitive Services).
 </li>
 <li>
 Implement MLOps practices for CI/CD, model monitoring, and lifecycle management.
 </li>
 <li>
 Ensure Responsible AI practices are embedded - fairness, explainability, transparency, and ethical governance.
 </li>
 <li>
 Collaborate with data teams to develop end-to-end AI pipelines, from data sourcing to model deployment.
 </li>
 </ul>
 
 
 
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <ul>
 <li>
 Lead client workshops, PoCs, and pre-sales solutioning across Data and AI engagements.
 </li>
 <li>
 Support proposal development, client demos, and design of value-driven use cases.
 </li>
 <li>
 Contribute to thought leadership through whitepapers, blogs, and conference presentations.
 </li>
 <li>
 Mentor junior consultants and foster a culture of learning and innovation.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 
 
 5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 
 
 Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 
 
 Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 
 
 
 
 
 
 Technical Expertise (Candidates should have expertise in one or more domains)
 
 
 
 
 
 
 
 A. Data Management
 
 
 <ul>
 <li>
 Azure Data Factory, Synapse Analytics, Data Lake, Delta Lake, Databricks, Event Hubs, Stream Analytics.
 </li>
 <li>
 Proficiency in SQL, Python, and Spark.
 </li>
 <li>
 Data Modeling (Conceptual, Logical, Physical), ETL/ELT, Data Quality frameworks.
 </li>
 <li>
 Familiarity with MS Fabric and open-source technologies (Airflow, Kafka, Presto).
 </li>
 </ul>
 
 
 
 
 
 B. Data Governance &amp; Strategy
 
 
 <ul>
 <li>
 Knowledge of DAMA-DMBOK, CMMI-DMM, or equivalent maturity models.
 </li>
 <li>
 Experience with Informatica Data Governance Suite of Solutions (Axon, IDQ, EDC, IDMC).
 </li>
 <li>
 Understanding of global data privacy and sovereignty laws.
 </li>
 <li>
 Ability to define data governance operating models and stewardship structures.
 </li>
 </ul>
 
 
 
 
 
 C. AI/ML Engineering
 
 
 <ul>
 <li>
 Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
 </li>
 <li>
 Hands-on experience with Generative AI (LLMs, RAG, Prompt Engineering).
 </li>
 <li>
 Strong understanding of MLOps pipelines and model lifecycle automation.
 </li>
 <li>
 Experience in at least three AI domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, or Anomaly Detection.
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 
 
 
 
 Strong client-facing communication and stakeholder management.
 
 
 Ability to translate technical insights into business outcomes.
 
 
 Experience in pre-sales engagements, proposals, and workshops.
 
 
 Leadership in mentoring teams and driving delivery excellence.
 
 
 
 
 
 
 Certifications (Preferred)
 
 
 
 Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 
 
 DAMA Certified Data Management Professional (CDMP) or equivalent.
 
 
 
 
 
 
 Location &amp; Travel
 
 
 
 Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 
</div>

Manager/ Senior Manager - Senior Data & AI Consultant - (Arabic Speaker)

YO IT CONSULTING

<div>Office location: Doha, Qatar
Candidate must be bilingual (Arabic &amp; English).
Overview
We are looking for an experienced Senior Data &amp; AI Consultant (8+ years) with strong expertise across the Data &amp; AI lifecycle&mdash;data strategy, architecture, engineering, governance, and AI/ML. The ideal candidate must be bilingual (Arabic &amp; English) and comfortable working in a client-facing consulting environment across multiple industries.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
1. Data Strategy &amp; Advisory
<ul><li>Develop enterprise-wide Data &amp; AI strategies and transformation roadmaps.</li>
<li>Assess data maturity and recommend improvements.</li>
<li>Conduct CXO-level workshops to align business goals with Data &amp; AI initiatives.</li>
<li>Guide clients on responsible AI practices.</li>
</ul>2. Data Architecture &amp; Engineering
<ul><li>Design scalable data platforms on Microsoft Azure.</li>
<li>Develop data models and architect batch/real-time pipelines using ADF, Synapse, Databricks, etc.</li>
<li>Implement data quality, metadata, and lineage solutions (Azure Purview).</li>
<li>Partner with AI teams to ensure data readiness for ML/AI use cases.</li>
</ul>3. AI &amp; Advanced Analytics
<ul><li>Lead end-to-end AI/ML solution development on Azure ML, OpenAI, Cognitive Services.</li>
<li>Build ML &amp; Generative AI use cases and implement MLOps (CI/CD, monitoring).</li>
<li>Ensure Responsible AI (fairness, explainability, governance).</li>
<li>Collaborate on full AI pipeline&mdash;from data sourcing to deployment.</li>
</ul>4. Consulting, Pre-Sales &amp; Leadership
<ul><li>Lead client workshops, PoCs, demos, and pre-sales engagements.</li>
<li>Support proposal writing and solution design.</li>
<li>Contribute to thought leadership (blogs, whitepapers, events).</li>
<li>Mentor junior consultants and support delivery excellence.</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3>
Education &amp; Experience
<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Engineering, AI, or related field.</li>
<li>Total years of experience should be minimum 8+ years.</li>
<li>Relevant 5+ years in Data/AI consulting, architecture, or strategy roles.</li>
<li>Strong experience in the Azure ecosystem (Azure Data Factory, Synapse, Purview, Databricks).</li>
<li>Exposure to industries like Public Sector, BFSI, Oil &amp; Gas, Government, Healthcare, Utilities.</li></ul></div>

Data AI Consulting Manager/Sr Manager

Edison Smart®

<div>
 
 
 AI Architect &ndash; Doha - Up to 30,000 QAR
 
 
 
 The AI Architect will be responsible for designing end-to-end AI solutions that enable organisations to adopt advanced automation, analytics, and intelligent systems at scale. This role focuses on creating practical, outcome-driven AI architectures that integrate seamlessly with existing enterprise platforms and deliver measurable business value.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Architecture &amp; Solution Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google&rsquo;s AI/ML ecosystem.
 </li>
 <li>
 Leverage pre-built services (NLP, computer vision, predictive modelling, conversational agents) to accelerate delivery.
 </li>
 <li>
 Develop solution blueprints aligned with organisational goals and broader digital transformation initiatives.
 </li>
 </ul>
 
 
 Enterprise Integration &amp; Data Engineering
 
 
 <ul>
 <li>
 Integrate AI workloads with core enterprise systems (ERP, CRM, operational platforms, data warehouses).
 </li>
 <li>
 Connect structured and unstructured data sources using APIs, middleware, and automation tools.
 </li>
 <li>
 Build and optimise data pipelines to support model training, inference, and continuous improvement.
 </li>
 </ul>
 
 
 AI Governance, Security &amp; Risk
 
 
 <ul>
 <li>
 Ensure compliance with global and regional data-protection frameworks (GDPR, HIPAA equivalents, local regulations).
 </li>
 <li>
 Monitor and manage risks related to model bias, transparency, explainability, and trust.
 </li>
 <li>
 Apply robust security and governance standards across all AI deployments.
 </li>
 </ul>
 
 
 Applied AI Implementation
 
 
 <ul>
 <li>
 Deploy and customise AI models for real-world use cases across different business functions.
 </li>
 <li>
 Configure conversational AI, intelligent agents, and knowledge systems to support operational requirements.
 </li>
 <li>
 Assess updates from cloud vendors and drive continuous enhancement of AI capabilities.
 </li>
 </ul>
 
 
 Stakeholder Collaboration &amp; Advisory
 
 
 <ul>
 <li>
 Work closely with technical and business teams to identify opportunities for applied AI adoption.
 </li>
 <li>
 Communicate complex AI concepts in a clear, practical manner to non-technical stakeholders.
 </li>
 <li>
 Guide teams through AI-enabled transformation, ensuring solutions deliver measurable impact.
 </li>
 </ul>
 
 
 Performance Engineering &amp; Scalability
 
 
 <ul>
 <li>
 Optimise AI architectures for speed, performance, and reliability.
 </li>
 <li>
 Implement monitoring frameworks, KPIs, and continuous optimisation cycles.
 </li>
 <li>
 Assess ROI and operational impact of AI deployments.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 8+ years
 
 in solution architecture, with
 
 4+ years
 
 focused on applied AI/ML projects.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 AI development or architecture certifications (e.g., Microsoft Certified AI Engineer/Architect).
 </li>
 <li>
 Azure AI Foundry, Google Cloud AI/ML credentials.
 </li>
 <li>
 Software engineering or solution architecture certifications.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong expertise in AI solution development and applied AI delivery.
 </li>
 <li>
 Deep knowledge of AI concepts, frameworks, models, and lifecycle management.
 </li>
 <li>
 Ability to perform architecture evaluations, scenario modelling, component design, and impact assessments.
 </li>
 <li>
 Strong understanding of SDLC, requirements gathering, and technical design.
 </li>
 <li>
 Proficiency with Azure AI Foundry and enterprise-grade AI orchestration.
 </li>
 <li>
 Hands-on experience with Google Agent Builder, multi-agent systems, and associated SDKs.
 </li>
 <li>
 Knowledge of advanced RAG techniques for enterprise knowledge management.
 </li>
 <li>
 Strong database and data-architecture skills (SQL, NoSQL, vector DBs, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, high-performing AI systems.
 </li>
 <li>
 Excellent communication and stakeholder engagement skills.
 </li>
 </ul>
</div>

Artificial Intelligence Architect - Doha (Up to 30,000 QAR)

Mindstream

Role: Azure Cloud Migration ArchitectDuration: 1 Year and extendableLocation: QatarExperience: 10+ Years in IT and 5+ years in Cloud ArchitectureSalary: Best in the IndustryThe Azure Cloud Migration Architect will lead the design and execution of large-scale migration projects from on-premises or other cloud environments to Microsoft Azure. This role requires deep expertise in Azure services, migration strategies, and enterprise architecture principles to ensure secure, scalable, and cost-optimized solutions&middot; Strong expertise in Azure IaaS, PaaS, and SaaS services.&middot; Hands-on experience with Azure Migrate, ASR, ARM templates, Terraform.&middot; Knowledge of networking, identity (Azure AD), and security best practices.&middot; Experience in cloud governance, cost management, and FinOps principles.&middot; Familiarity with migration of complex workloads (e.g., BizTalk, SAP, SQL Server).&middot; Excellent communication and stakeholder management skills.&middot; Microsoft Certified: Azure Solutions Architect Expert.&middot; Experience with multi-cloud or hybrid cloud migrations.&middot; Background in DevOps and automation.Forward resume to careers@mind-stream.netWhatsApp 974 30107270Job Type: Full-time

Azure Cloud Migration Architect

<div>
 
 
 Cloud Architect &ndash; Role Overview
 
 
 
 The Cloud Architect will be responsible for designing, implementing, and optimising cloud environments that support complex digital ecosystems. This role focuses on building scalable, secure, and resilient cloud platforms capable of supporting large-scale operations, fluctuating workloads, and business-critical applications.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Cloud Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Develop secure, scalable cloud infrastructures on major cloud platforms (Azure, AWS, or Google Cloud).
 </li>
 <li>
 Select the most suitable cloud services based on performance, availability, cost, and application requirements.
 </li>
 <li>
 Automate cloud resource provisioning using Infrastructure-as-Code (IaC) frameworks (e.g., ARM templates, Deployment Manager, CloudFormation, Terraform).
 </li>
 <li>
 Incorporate principles of cost efficiency, operational continuity, and compliance into all architectural decisions.
 </li>
 </ul>
 
 
 
 
 
 Cloud Security, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Establish and maintain strong security controls for cloud environments, including IAM frameworks, encryption standards, and access policies.
 </li>
 <li>
 Ensure cloud solutions adhere to industry best practices, governance frameworks, and data-protection regulations.
 </li>
 <li>
 Develop ongoing monitoring and reporting processes to assess cloud health, performance, and utilisation.
 </li>
 <li>
 Produce clear technical documentation, diagrams, and architecture artifacts for internal teams and stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Operations, Optimisation &amp; Problem Solving
 
 
 <ul>
 <li>
 Perform routine maintenance activities to ensure platform stability and operational uptime.
 </li>
 <li>
 Optimise system resources for resilience, performance, and scalability.
 </li>
 <li>
 Troubleshoot environment-wide issues and lead root-cause analysis for cloud-related incidents.
 </li>
 <li>
 Automate monitoring, maintenance, and repeatable operational processes to enhance efficiency and reduce manual effort.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 8+ years
 
 working in IT infrastructure, cloud engineering, or related domains.
 </li>
 <li>
 
 6+ years
 
 in a dedicated cloud architecture or cloud delivery role.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or an equivalent discipline.
 </li>
 </ul>
 
 
 Certifications
 
 (any two):
 
 <ul>
 <li>
 Microsoft Azure Solutions Architect Expert
 </li>
 <li>
 Google Professional Cloud Architect
 </li>
 <li>
 AWS Certified Solutions Architect &ndash; Professional
 </li>
 <li>
 Cloud Computing Professional (CCC) or similar advanced cloud credentials
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 <ul>
 <li>
 Expertise in designing and deploying cloud solutions across Azure or Google Cloud.
 </li>
 <li>
 Strong understanding of enterprise systems and cloud-native services.
 </li>
 <li>
 Hands-on administration experience in Microsoft and Google cloud ecosystems.
 </li>
 <li>
 Knowledge of cloud networking, identity, security controls, and hybrid-cloud integrations.
 </li>
 <li>
 Experience with cloud virtualization, high-availability design, and multi-region deployments.
 </li>
 <li>
 Ability to create cloud strategies, architecture frameworks, and security-focused design patterns
 </li>
 </ul>
</div>

Cloud Architect - Up to 30,000 QAR

Confidential

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking a highly skilled Sports Business Systems Analyst to spearhead the design and implementation of cutting-edge AI solutions across the sports, performance, education, and medical sectors. In this role, you will be responsible for creating compelling business cases and architecting end-to-end AI systems that leverage machine learning, NLP, and advanced data analytics. You will design scalable architectures on cloud platforms like Azure AI Foundry and Google Agent Space, ensuring seamless integration with existing enterprise systems such as CRM and ERP. A key part of your role will involve navigating AI governance, ensuring compliance with regulations like GDPR and HIPAA while monitoring for bias and transparency. You will partner closely with internal stakeholders to identify high-impact AI opportunities and demonstrate their measurable business value. This position requires a strategic thinker with deep technical expertise to act as a trusted advisor, driving AI-enabled transformation and optimizing systems for performance, scalability, and reliability.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; 8+ years of experience in Solution Architecture with a minimum of 4 years in applied AI/ML projects.
 
 
 &rtrif; Proficiency in designing and implementing scalable AI architectures using cloud-native platforms like Azure AI Foundry and Google Agent Space.
 
 
 &rtrif; Hands-on expertise with Google Agent Builder, Google SDK, and multi-agent systems.
 
 
 &rtrif; Strong knowledge of Advanced RAG for enterprise-scale knowledge management.
 
 
 &rtrif; Skilled in database and data architecture, including SQL, NoSQL, vector databases, and knowledge graphs.
 
 
 &rtrif; Experience integrating cloud AI services with enterprise platforms (ERP, CRM, medical, sports performance).
 
 
 &rtrif; Proficient in multiple solution architecture techniques, SDLC, and requirements analysis.
 
 
 &rtrif; Ability to design applied AI systems that are secure, scalable, and performance-optimized.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 
 
 &rtrif; Certifications such as MS Certified AI Developer/Architect or certifications for Azure AI Foundry and Google Cloud AI/ML platforms.
 
 
 &rtrif; Strong communication and stakeholder management skills to bridge the gap between technical teams and business units.
 
 
 &rtrif; Experience ensuring AI systems comply with data regulations such as GDPR and HIPAA.
 
 
 &rtrif; Proven ability to act as a trusted advisor for AI-enabled organizational transformation.
 
</div>

Sports Business Systems Analyst

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