The Intelligence Presales Solution Architect serves as the primary technical authority for the company’s Intelligent pillar, specializing in the Microsoft AI and Data platform. This role is responsible for designing solution architectures, leading technical discovery, building proofs of concept, developing technical proposals, and supporting deal progression from qualification through close. The candidate will combine hands-on expertise across Microsoft’s AI and Data stack with the ability to translate business requirements into deployable solutions.
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Responsibilities
- Lead technical solution design for AI and Analytics engagements across the Intelligent pillar value chain, covering areas such as AI Readiness, Advanced Analytics, Generative AI, and Agentic AI.
- Architect end-to-end solutions on the Microsoft platform, including Azure AI Services and Microsoft Fabric.
- Design data platform architectures to support analytics-ready, governed data foundations.
- Develop generative AI solution architectures incorporating Azure OpenAI Service and related methodologies.
- Conduct solution presentations and technical workshops with customer leadership to validate proposed designs and build technical confidence.
- Deliver executive technical briefings and AI Readiness assessments that provide actionable insights for clients.
Requirements
- 8+ years of experience in presales, solution architecture, or technical consulting with at least 4 years focused on Microsoft Azure AI and Data services.
- A Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or a related discipline.
- Deep knowledge of Azure AI Services, Azure Machine Learning, and Microsoft Fabric.
- Proven experience in designing and delivering Generative AI solutions and data engineering architecture.
- Strong proficiency in Python, SQL, and relevant ML frameworks.
- Current Microsoft certifications, particularly Azure AI Engineer Associate and Azure Data Engineer Associate.
- Familiarity with industry-specific AI and digital use cases across sectors such as Telecom, Financial Services, and Healthcare.
