Intelligence Presales Solutions Architect

Technical Solution Design & Architecture (Intelligent Pillar Microsoft Focus)

• Lead technical solution design for AI and Analytics engagements across the full Intelligent pillar value chain: AI Readiness (Data Quality & Governance, Responsible AI, Organizational Readiness), Advanced Analytics & Machine Learning, Generative AI (RAG, Co-Pilots, Content Generation & Personalization), and Agentic AI (Autonomous Reasoning, Multi-Agent Orchestration, Agentic Governance).
• Architect end-to-end solutions on the Microsoft platform including Azure AI Services, Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, Microsoft Fabric (Data Factory, Data Engineering, Data Warehouse, Real-Time Intelligence, Power BI), Copilot Studio, and the Power Platform.
• Design data platform architectures leveraging Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL, Cosmos DB, and Purview to support analytics-ready, governed data foundations.
• Develop generative AI solution architectures incorporating Azure OpenAI Service, Retrieval-Augmented Generation (RAG) patterns, prompt engineering, fine-tuning strategies, and embedding-based retrieval using Azure AI Search and vector stores.
• Design agentic AI architectures using Copilot Studio, Semantic Kernel, AutoGen, and multi-agent orchestration patterns with appropriate human-in-the-loop governance and safety controls.
• Produce technical solution documentation including architecture diagrams, solution design documents, bills of material, sizing estimates, and implementation roadmaps for customer proposals and RFP responses.
• Define non-functional requirements (scalability, security, performance, compliance) and incorporate them into solution architectures aligned with Microsoft Well-Architected Framework principles.

Customer-Facing Technical Engagement

• Lead technical discovery workshops with customer IT, data, and business teams to assess current-state architecture, data maturity, technology landscape, and AI readiness.
• Conduct solution presentations, architecture walkthroughs, and whiteboarding sessions with CTOs, CIOs, Chief Data Officers, Heads of AI, and enterprise architects to validate proposed designs and build technical confidence.
• Design, build, and deliver proofs of concept (PoCs) and proofs of value (PoVs) that demonstrate tangible outcomes such as a working RAG pipeline, a predictive analytics model on customer data, or an automated workflow using Copilot Studio to de-risk the buying decision, when necessary.
• Support the AI Sales Overlay Specialist and account teams by providing technical depth during stakeholder conversations, helping quantify the technical effort and translating customer pain into architecture requirements.
• Deliver executive technical briefings and AI Readiness assessments that provide customers with actionable findings on their data governance posture, platform landscape, and AI adoption roadmap.

Presales Process & Deal Support

• Own the technical win strategy for AI/Analytics opportunities, defining the proof points, demonstrations, and reference architectures needed to secure technical selection.
• Develop scope definition, resource plans, and pricing inputs for professional services proposals in coordination with delivery and PMO teams.
• Author technical sections of proposals and RFP/RFI responses, ensuring accuracy, feasibility, and differentiation of the proposed Microsoft-based solution.
• Build and maintain a library of reusable solution assets including reference architectures, PoC accelerators, demo environments, and technical battle cards for the Intelligent pillar on Microsoft.
• Participate in deal reviews and architecture review boards to ensure solution quality, deliverability, an