Digital Solution Engineering (Cloud & AI Data)

Full Job Description

Design secure, scalable, and resilient cloud architectures that support business-critical applications, data modernization initiatives, and Frontier AI transformation. Lead technical discovery sessions, architecture workshops, solution demonstrations, proof of concepts, and deployment engagements to accelerate customer adoption of Azure services. Guide customers through database and analytics modernization journeys, influencing technical decisions and accelerating migrations to Azure. Partner with sales, customer success, and partner teams to develop technical strategies, remove deployment blockers, and drive successful customer outcomes. Demonstrate emerging technologies, including Agentic AI and advanced analytics, to help customers accelerate innovation and realize measurable business value. Capture customer feedback, competitive insights, and market trends while contributing to technical readiness, knowledge sharing, and the broader Cloud & AI community. Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field, or equivalent practical experience. 4+ years of experience in technical pre-sales, solution consulting, cloud architecture, or related customer-facing technical roles. Experience leading technical customer engagements, including discovery workshops, architecture design sessions, proof-of-concepts, technical presentations, and deployment planning activities. Demonstrated understanding of database modernization, analytics platforms, cloud-native architectures, and enterprise-scale data solutions. Ability to engage technical and business stakeholders, translate business requirements into scalable technical solutions, and drive technical decision-making. 7+ years of experience in technical pre-sales, consulting, cloud solutions architecture, or related technology-focused roles. Experience with cloud, hybrid, and on-premises infrastructure architectures, migration strategies, and enterprise technology modernization initiatives. Experience with database migration and modernization programs, enterprise data warehousing, data lakes, big data platforms, and AI-enabled analytics solutions. Familiarity with modern AI technologies, including Generative AI and Agentic AI, and their application in data, analytics, and business transformation scenarios. Experience supporting nonprofit, education, government, or mission-driven organizations through digital transformation initiatives is an advantage. Strong communication, stakeholder management, and executive presentation skills, with the ability to influence technical strategy and adoption across diverse customer environments.

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