Microsoft Cloud Solution Architect CSA - Data & AI 

Switzerland, Zurich, Zurich 

316034456

Required/Minimum Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, Business or related field.

• Several years of 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 (PQs)

• The ability to convey the business needs 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:

• Breadth of technical experience and knowledgein 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 Data & AI specific areas, such as Data Analytics, Cognitive Services, Machine Learning, Azure OpenAI and CoPilot OR hands-on experience working with the respective products at the expert level.
  • Experience in creating Data & AI solutions Proofof Concepts (PoC), and MinimumViable Products(MVPs)for customersthat lead to production deployments.
  • Competitive Landscape: Knowledge of key Data & AI cloud based 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-Centric Approach:

• Understand customers' overall data estate, business priorities, and IT success measures. Innovate with Data & AI solutions that drive business value.
• Prioritize Customer Satisfaction: Foster positive relationships and become a trusted advisor.
• Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Gather insights from customers and partners.

Business Impact:

• Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments.
• Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP.
• Architect AI Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create Innovate with AI roadmaps, lead POCs and MVPs, and ensure long-term technical viability.

Technical Leadership:

• Advocate for Customers: Share insights and best practices, collaborate with the Engineering team to address key blockers, and drive product improvements.
• Continuous Learning: Stay updated on market trends, collaborate with the AI technical community, and educate customers about the Azure Data & AI platform.
• Accelerate Outcomes: Share expertise, contribute to IP creation, and promote reusability to accelerate customer success.