Senior Cloud Solution Architect, Cloud & AI Business Solutions
About The Position
The Senior Cloud Solution Architect, Cloud & AI Business Solutions helps global customers turn ambitious Cloud and AI initiatives into production outcomes on Azure. The role partners with customers to build unified, governed, AI-ready data estates and move AI applications and agents from experimentation to production. It leads customer-facing technical engagements spanning architecture design, proofs of concept, pilots, and production milestones, using Azure AI Foundry, Microsoft Fabric, Azure Databricks, GitHub, and related Azure data and application services. The role uses repeatable intellectual property, Factory, Unified VAS, and Acceleration Programs to deliver scalable outcomes, generate incremental pipeline, and improve time-to-value for mission-critical workloads. The position can be performed up to 100% from home. The role is part of Microsoft’s International Customer Success Organization, whose mission is to deliver and scale customer success services for strategic, innovative, complex, and globally operating customers. It contributes to Microsoft’s mission and culture through a growth mindset, innovation, collaboration, respect, integrity, accountability, and inclusion.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or a related field and 4+ years of experience in Cloud and AI platform technologies and related areas, or equivalent experience.
- Experience with areas including Azure architecture, AI and agents, GitHub, Agentic DevOps, AI Agent development, data platforms, application modernization, resiliency, security, production-scale cloud delivery, IT consulting or support, systems administration, network operations, software development or support, technology solutions, practice development, architecture, and/or consulting.
- Must be authorized to work in the United States without requiring employer visa sponsorship now or in the future.
Nice To Haves
- 5+ years of technical enterprise experience in one or more Cloud and AI technology areas: data platforms and analytics (Microsoft Fabric, Azure Databricks, Azure databases, data engineering, or Microsoft Purview governance); AI applications and agents (Azure AI Foundry, Copilot Studio, agent frameworks, LLM/RAG application development, or responsible AI); or application platforms and developer tooling (GitHub, GitHub Copilot, containers such as AKS, serverless, integration services, or DevOps/Agentic DevOps).
- 5+ years of experience designing and delivering secure, scalable data and AI solutions from architecture and proof of concept through production deployment, focused on measurable business value and customer adoption.
- 3+ years of experience owning end-to-end technical delivery results, resolving complex blockers, and addressing security, privacy, governance, reliability, performance, cost optimization, and responsible AI considerations.
- 5+ years of experience across cloud, data, AI, application, and developer platforms, with reusable solution development, technical skilling, knowledge sharing, mentoring, and engagement with technical communities.
- Technical Cloud Certification, such as Azure Developer Associate (AZ-204), Azure AI Engineer Associate (AI-102), a GitHub Copilot Certification, Fabric Analytics Engineer Associate (DP-600), Azure Data Scientist Associate (DP-100), Fabric Data Engineer Associate (DP-700), or Azure Solutions Architect Expert (AZ-305).
Responsibilities
- Engage customer IT and business leaders to understand data, application, agent, and AI priorities; define success measures and design secure, scalable solutions that drive measurable business value and production adoption.
- Lead hands-on architecture, proofs of concept, pilots, and production deployments, including Cloud Acceleration Factory engagements, across AI-ready data platforms, analytics, databases, AI applications, and agents.
- Own end-to-end technical delivery results, ensure completeness and accuracy of consumption and customer success plans with the Customer Success Account Manager, and drive next best actions that generate incremental Cloud pipeline.
- Guide workload security, privacy, governance, sovereignty, reliability, performance, capacity, and cost optimization, including service and model retirements; apply responsible AI principles to production AI and agent scenarios.
- Resolve technical blockers with account teams, partners, and engineering; act as the Voice of the Customer by sharing adoption issues, capacity constraints, product gaps, and platform readiness feedback.
- Create and reuse solution accelerators, reference architectures, and repeatable IP to help customers deploy faster; support customer and partner skilling through technical workshops and readiness activities across data platforms, AI apps, agents, and GitHub.
- Continuously build expertise in Azure AI Foundry, Copilot Studio, Agent365, GitHub and GitHub Copilot, Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure databases, app platforms, containers, integration services, and DevOps.
- Share knowledge and customer success stories, mentor others, and contribute to internal and external technical communities.
- Embody Microsoft’s culture and values.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
