Cloud Solutions Architect AI

at  Microsoft

We’re actively seeking a Cloud Solution Architect (CSA) who specializes in Azure AI services and solutions. As a CSA, you’ll be at the forefront of driving our customers’ transformation on Microsoft Azure. This customer-facing role involves owning the technical relationship between the customer and Microsoft. Your mission: help customers unlock the full potential of their Microsoft investments through architecture, implementation, and operational health engagements. Plus, we offer flexibility—work remotely up to 50%. Join us in shaping the future of technology!
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in computer science, Information Technology, Engineering, Business or related field with a strong focus on AI
• OR equivalent experience.
• 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, with a strong focus on AI
• OR equivalent experience.

PREFERRED QUALIFICATIONS

• Business Value: 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: asking insightful questions to understand the customer needs, issues, business environment and drivers, and going beyond what customer has said.