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 the 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.