Cloud Solution Architect

Overview

We are looking for a highly motivated and passionate Cloud Solution Architect  to drive high priority customer initiatives in enabling customers to bring their AI-powered applications  to production scale on Azure platform in collaboration with partner and the Microsoft field in Enterprise accounts segment of our business. This is a customer-facing role, owning overall technical relationship pivotal in driving delivery excellence , technical depth , and customer success  across Unified and Factory engagements, helping customers to leverage their Microsoft investments through architecture, implementation, and operational health engagements. 

You will own the Azure based applications platform and AI technical support post sales including architectural design review sessions, specific implementation projects, partnering with customer and partner to build MVPs and trouble solving and prevent the issues and support building more efficient systems with Well-Architect framework. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive AI-powered applications Platform to productions. 

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission. 

Qualifications

Required/Minimum Qualifications:  

Bachelor’s degree in computer science, Information Technology, Engineering, or a related field AND 5+ years of experience in cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI).  Deep understanding of Cloud Infrastructure, Cloud Native solutions, containerization, and Dev sec ops.  Familiarity with at least one development language (e.g., Python, Java, Go, C#, JavaScript, Scala).  Problem Solving. Ability to solve customer problems through cloud technologies required  3+ years of experience in customer-facing IT project delivery. 

Additional or Preferred Qualifications:  

Master’s degree in computer science, Information Technology, Engineering, or a related field AND 6+ years of experience in cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI).  Proficiency in multiple development languages (e.g., Python, Java, Go, C#, JavaScript, Scala).  6+ years of experience in customer-facing IT project delivery.  6+ years of experience leading technical projects.  Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google Cloud, Alibaba Cloud, Tencent Cloud, security certifications). 

Essential Skills:  

OpenAI/AI, Llama, Deepseek, Copilot including Github Copilot and Studio, and Cognitive services  Microservices and containerization with Azure Kubernetes Services  Advanced Analytics (Azure Synapse, Databricks, visualization tools such as PowerBI, Tableau, QuickBI)  NoSQL Databases including OSS (Cassandra, Mongo, HBase, etc.), Cosmos DB 

Responsibilities

Responsibilities

Understand customers’ overall data estate, IT and business priorities and success measures to design implementation AI based architectures and solutions.  Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments.  Apply technical knowledge to architect solutions that meet business and IT needs, be advisor for customer’s Azure AI Platform strategy, applications modernization through microservices on Azure Kubernetes services, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML, Azure AI Services including AI Search, Azure OpenAI, Copilot including Github Copilot and Studio, Cognitive Services, Spark, Data Lake, Azure Synapse, etc.)  Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment.  Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers. Deliver according to MS best practices & using repeatable Intellectual Property (IP) and Value Based Delivery (VBD).  Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.  Collaborate with other Solution Engineers and other Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.  Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform.  Be an Azure Platform evangelist with customers, partners and external communities.  Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

---