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Presales Solutions Architect

Presales Solutions Architect

Ironbook AIIndia, India
1 day ago
Job description

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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