Description
The role focuses on converting priority business use cases into client-ready demonstrations, proof-of-concept solutions, and technical spikes across Azure, data, AI, and automation. Responsibilities include building demo environments and scripts, validating APIs, data access, integrations, models, deployments, and non-functional requirements, estimating prototype effort, identifying technical risks, applying secure engineering and Responsible AI practices, and supporting assessments, roadmaps, proposals, workshops, and delivery plans. The role also coaches consultants and stays current with Microsoft platform developments. Candidates need at least four years of experience in cloud, software, data, AI, or solution engineering, hands-on Azure experience, Python or another modern language, and strong communication skills; the posting is marked hybrid.
