Presales Solutions Architect

3 weeks ago


India Ironbook AI Full time

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.



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