Digital Business People
Website:
dbppl.com
Company:
https://www.linkedin.com/company/digital-business-people
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
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
• 10–15 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.
Click on Apply to know more.
