.The Global Customer Success (GCS) organization, an organization within CE&S, is leading the effort to enable customer success on the Microsoft Cloud by harnessing leading, AI-powered capabilities and human expertise to deliver innovative solutions that accelerate business value, drive operational excellence, and nurture long-term loyalty.As a Cloud Solution Architect in the International Customer Success Unit, you will guide Microsoft's largest clients in building global AI platforms and support implementing the most impactful AI use cases. This opportunity will allow you to innovate, create customer excitement, and learn at the forefront of AI innovation, in collaboration with a global and diverse team across technology and professions. You will have the opportunity to be hands-on with cutting-edge technology, expand your architecture and technical leadership toolset, and share your learnings with the broader community.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.ResponsibilitiesYou drive your team in operating and optimizing complex and high-impact situations for strategic customers/partners in collaboration with internal stakeholders. You lead the adoption of Microsoft offerings based on analysis/differentiation of Microsoft and competitor products to influence the industry-wide direction for specific architecture(s). You connect gaps and patterns across business and technology areas, and drive changes and improvements to existing intellectual property (IP), technologies, and/or processes that enable solutions to scale across customers/partners.You lead virtual teams around technologies and customer/partner challenges by sharing ideas, insights, and strategic, technical input with technical teams, internal communities across the field, and the larger virtual team across Microsoft using knowledge of Microsoft architectures and their context in the competitive landscape.QualificationsRequired Qualifications:Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND significant professional experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting.Significant experience building production-grade, cloud-based AI/ML solutions. Proven application of MLOps practices, AI governance, Responsible AI.Experience building Generative AI solutions and foundational experience with LLMOps.Languages: Business fluency in English
