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.