Presales Data & AI Solution Architect (Microsoft Solutions) – 5 Years’ Experience
Role Summary
The Presales Data & AI Solution Architect partners with customers and internal sales teams to design, present, and enable advanced Data & AI solutions leveraging the Microsoft ecosystem (Azure, Fabric, and related technologies). This role bridges business needs with technical possibilities, supporting the end-to-end solution sales cycle with architectural vision, technical depth, and a focus on value realization.
Key Responsibilities
- Engage with clients to understand business objectives, data landscape, and technical requirements.
- Lead architecture design sessions, create solution blueprints, and guide Data & AI roadmaps (including cloud migration, data modernization, governance, and AI adoption).
- Design and prototype secure, scalable solutions using Microsoft technologies : Azure Data Services, Azure AI, Microsoft Fabric, Synapse, Databricks, and relevant database systems.
- Deliver technical presentations, demos, and proof-of-concept engagements for customers; address customer challenges and blockers.
- Collaborate with sales teams to define technical win strategies, proposal offerings, and competitive differentiators.
- Support production readiness, health, and optimization of data and AI workloads – including AI agent and ML model integration as appropriate.
- Act as technical advisor—mentoring clients and internal teams, documenting architectures and presenting to technical / non-technical audiences.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).5 years’ experience in data, analytics, or AI solution architecture, with proven exposure to Microsoft Azure and Data / AI workloads.Track record designing, implementing, or supporting solutions on Azure (Databases, Analytics, AI / ML, Data Lakes, Fabric, Synapse, etc.).Pre-sales experience : technical sales engagements, RFP / RFI responses, building prototypes and customer demos.Strong customer-facing presentation / consultation skills and the ability to build technical trust.Proficient with solution design patterns for cloud data platforms, data integration, governance, analytics, and security.Experience with enterprise data modeling, SQL, Python / Scala, and AI / ML frameworks is a plus.Preferred / Bonus Skills
Microsoft certifications in Data & AI / Cloud Solution Architecture.Experience with agentic-AI, Copilot integrations, or large language model solutions.Familiarity with Power BI, Fabric, and ecosystem tools.Prior consulting, technical workshops, or enablement delivery background.Work Style
Comfort working in both client-facing and internal leadership settings.Ability to manage multiple presales engagements concurrently.Passion for continuous learning and staying current with Microsoft Data & AI innovations.