Microsoft Sr Cloud Solution Architecture Data AI 

Japan, Chiyoda 

147599940

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Required/Minimum Qualifications:

• Bachelor’s degree in computer science, Information Technology, Engineering, Business or related field AND 5+ years’ experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting OR equivalent experience.

Additional or Preferred Qualifications:

• Business Value: The ability to convey the business need and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy.
• Trusted Advisership : The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.
• Situational fluency: Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to "read the room."
• Insightful listening: asking insightful questions to understand the customer needs, issues, business environment and drivers, and going beyond what customer has said.

• Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design , with depth / Subject Matter Expertise in one or more of the following:
  • Deep domain expertise in one of the Azure AI specific areas, such as Cognitive Services, Machine Learning, and Azure OpenAI OR hands-on experience working with the respective products at the expert level.
  • AI related Data expertise, such as SQL DB, No-SQL, Delta Lake, Apache Parquet, etc.
  • Experience in creating AI solutions Proof of Concepts (PoC), and Minimum Viable Products (MVPs) for customers that lead to production deployments.
  • Competitive Landscape: Knowledge of key AI platforms such as AWS, GCP etc.
  • Software development practices like DevOps and CI/CD tool chains (i.e., Jenkins, Azure Developer Services, GitHub, MLOps)

Customer Centricity​

• Understand customers’ overall data estate Business and IT priorities and success measures to build and innovate with AI solutions that drive business value.
• Customer Satisfaction - Drive positive Customer Satisfaction & become a trusted advisor.​
• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.
• Customer/Partner Insights - Provide feedback & insights from customers/partners.​

Business Impact​

• Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments.​
• Resolution of Customer Blockers - Identify resolutions to Customer blockers by leveraging SA subject matter expertise . Deliver according to MS best practices & using repeatable IP. ​
• Apply technical knowledge to architect and design solutions that meet business and IT needs, create AI innovation roadmaps, drive POCs and MVPs, and ensure long term technical viability of new deployments, infusing key AI technologies.

​Technical Leadership​

• Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements.
• Learn It All - Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform.
• Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes.