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Senior Cloud Solution Architect – AI Platform
hace 2 meses
The Global Customer Success organization, an integral part of Microsoft's Customer Experience and Success (CE&S) division, is driving the effort to empower 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 foster long-term loyalty.
As a Cloud Solution Architect in the International Customer Success Unit, you will play a pivotal role in guiding Microsoft's largest clients in building global AI platforms and supporting the implementation of the most impactful AI use cases. This opportunity will enable 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.
Key Responsibilities- You will drive your team in operating and optimizing complex and high-impact situations for strategic customers/partners in collaboration with internal stakeholders. You will 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 will 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 will 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.
- 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.
- OR equivalent experience.
- Significant experience building production-grade, cloud-based AI/ML solutions. Proven application of MLOps practices, AI governance, and Responsible AI.
- Experience building Generative AI solutions and foundational experience with LLMOps.
- Languages: Business fluency in English.
- Experience in a customer-facing role with sales & expansion accountabilities.
- Experience building complex Generative AI solutions, including advanced prompt engineering, leveraging orchestrator frameworks, agentic architectures, and usage of open-source Large Language Models (LLMs).
- Experience creating hands-on Proof of Concepts (PoC), Minimum Viable Products (MVPs) of AI use cases for customers that lead to production deployments.
- Breadth of technical experience in cloud solutions and knowledge in foundational security, infrastructure and network design, and subject matter expertise in data analytics and big data processing.
