Intelligence Presales Solutions Architect

Requirements

• 8+ years of experience in presales, solution architecture, technical consulting, or hands-on delivery of data and AI solutions, with at least 4 years focused specifically on Microsoft Azure AI and Data services.
• A Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, Information Systems, Mathematics, or a related technical discipline (mandatory).
• Deep hands-on expertise across the Microsoft AI and Data platform, specifically:
• Azure AI Services (Azure OpenAI Service, Azure AI Search, Document Intelligence, Speech, Vision, Language)
• Azure Machine Learning (Designer, Pipelines, MLflow integration, Managed Endpoints, Responsible AI dashboard)
• Azure AI Foundry (prompt flow, model catalog, evaluation, deployment orchestration)
• Microsoft Fabric (Data Factory, Data Engineering with Spark, Data Warehouse, Real-Time Intelligence, Power BI)
• Copilot Studio and Power Platform (Power Automate, Power Apps) for agentic and workflow-driven AI solutions
• Data governance tooling: Microsoft Purview (data catalog, lineage, classification, sensitivity labeling)
• Proven experience designing and delivering Generative AI solutions including RAG architectures, embedding pipelines, prompt engineering patterns, fine-tuning workflows, and grounding strategies using Azure AI Search or equivalent vector retrieval systems.
• Strong foundation in data engineering and analytics architecture: data lakehouse patterns, medallion architecture, ETL/ELT pipeline design, dimensional modeling, and real-time streaming.
• Hands-on proficiency in Python, SQL, PySpark, and at least one ML framework (scikit-learn, PyTorch, or TensorFlow) for building and demonstrating ML solutions.
• Experience producing presales deliverables including solution architecture documents, effort estimates, technical proposals, PoC plans, and RFP responses.
• Demonstrated ability to lead technical conversations with senior technical stakeholders (CTOs, CDOs, Enterprise Architects) and translate complex architecture into clear, outcome-focused narratives.
• Current Microsoft certifications, particularly: Azure AI Engineer Associate (AI-102), Azure Data Engineer Associate (DP-203), Fabric Analytics Engineer Associate (DP-600), or Azure Solutions Architect Expert (AZ-305). Power Platform certifications (PL-200, PL-600) are a strong plus. Multiple certifications strongly preferred.
• Experience with agentic AI frameworks and patterns including Semantic Kernel, AutoGen, LangChain, and multi-agent orchestration with human-in-the-loop governance.
• Familiarity with secondary cloud AI platforms (AWS Bedrock/SageMaker, Google Vertex AI) and cross-cloud data integration scenarios.
• Experience with Dataiku DSS platform for visual ML, MLOps, and enterprise AI governance.
• Hands-on experience with Microsoft Power Platform (Power Automate cloud and desktop flows, Power Apps canvas and model-driven apps, Power Pages, AI Builder, Dataverse) and SharePoint Online development (modern sites, SPFx, search configuration, Viva modules) for Digital pillar solution positioning.
• Experience with Responsible AI frameworks, model explainability tooling (e.g., Azure Responsible AI dashboard, Fairlearn, InterpretML), and regulatory compliance considerations for AI in MENA markets.
• Familiarity with industry-specific AI and digital use cases in Telecom, Financial Services, Government, Healthcare, Retail, or Energy sectors.
• Experience working in systems integration, professional services, or consulting organizations serving MENA markets, with understanding of regional data sovereignty requirements.
• Fluency in English (spoken and written). Arabic language proficiency is a strong advantage.