Presales Solutions Architect

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.