Principal Solution Architect - AI, Data & Microsoft Business Applications /

The role Roughly half your time is pre-sales and solutioning; a third is building the AIOnMS practice (offerings, reference architectures, demos, accelerators); the rest is architecture governance across live projects with the technical leads. This is a hands-on-keyboard architect role for demos, PoCs and reference builds not a people-management chair. Key responsibilities Pre-sales and solutioning (40%) Lead discovery workshops; design end-to-end solutions spanning D365 CE/ERP, Power Platform, Microsoft Fabric, Azure AI/Foundry and M365 Copilot. Own the technical side of proposals, RFP/RFI responses, effort estimation and pricing inputs; present architectures to executives and IT leadership. Build and deliver demos and time-boxed PoCs including agent, RAG and Copilot scenarios that win deals. AIOnMS practice building (20%) Productise the AIOnMS portfolio: AI readiness assessments, Fabric lakehouse starter architectures, agentic AI patterns (Copilot Studio, Foundry Agent Service, MCP), Copilot value cases. Create and maintain reference architectures, estimation models and reusable accelerators; keep them current with the Microsoft AI roadmap (Foundry, Fabric IQ, Agent 365). Build the flagship demo environments the sales motion runs on, and the case studies that follow early wins. Architecture governance, mentoring and delivery (40%) Chair design reviews with the technical leads; own cross-stack integration architecture (Dataverse, dual-write, Azure Integration Services, APIs, eventing). Set security, data-governance and responsible-AI guardrails (Entra, Purview, Foundry evaluations) as part of every solution. Mentor leads and consultants on AI-era solution patterns; remain the final technical authority on customer commitments. Take overall technical quality ownership of Octaware deliveries What we deliberately do not expect Deep hands-on development mastery of all three Dynamics 365 stacks our technical leads own that depth in their areas. We need architect-level breadth across the estate, genuine depth in at least one stack plus the Azure AI/data layer, and the judgment to orchestrate specialists. If you are deep in one Dynamics workload, fluent in the Microsoft AI stack, and have won deals, you should apply. Must-have skills and experience 1015 years in Microsoft-ecosystem consulting, with 5+ years as a customer-facing solution architect on enterprise engagements. Depth in at least ONE of: D365 Customer Engagement, D365 ERP (F&O or Business Central), or Power Platform with working architecture knowledge of the other two. Demonstrable AI solutioning on the Microsoft stack: Azure OpenAI / Microsoft Foundry, RAG and AI Search patterns, Copilot Studio or agent frameworks at least one production deployment or substantial customer PoC you personally architected. Data architecture literacy: Microsoft Fabric (or Synapse-era) lakehouse concepts, Power BI and semantic models enough to design and defend an end-to-end data + AI architecture. A verifiable pre-sales record: RFP/RFI responses you led, estimation models you built, demos you delivered, and deals you helped win. Integration architecture across the estate: Dataverse, dual-write, Azure Integration Services, API and event-driven design. Executive-grade communication in English; comfortable owning the room with CIOs and business sponsors. India + GCC/international customer exposure preferred. Good to have Certifications: PL-600, AZ-305, AI-102, DP-600/DP-700, or MB-series architecture tracks. Microsoft Purview, responsible-AI frameworks (EU AI Act, NIST AI RMF awareness), and Copilot licensing / value engineering. Exposure to agent interoperability standards (MCP, A2A) and non-Microsoft models (e.g., Claude on Foundry). Domain experience in Manufacturing, Real Estate, BFSI or Healthcare. .