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Form of workOverview
With over 18,000 employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft’s end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience.
The Global Customer Success (GCS) organization is leading the effort to create the desired customer experience through support offer creation, driving digital transformation across our tools, and delivering operational excellence across CE&S.
As a Cloud Solution Architect aligned to the Azure AI platform for Microsoft's Customer Experience & Success (CE&S) organization, you will enable customers to achieve their outcomes based on their investments in Microsoft technology. Leveraging your Microsoft Azure Artificial Intelligence (AI) and Machine Learning (ML) technical subject matter expertise, you will lead technical conversations with customers and Microsoft colleagues, driving value to their organization. This is a hands-on role that includes accelerating customer adoption by building Generative AI solutions and identifying resolutions to unblock customer success projects. You will also drive product influence with Engineering through technical feedback and increase technical intensity with the Field teams. This opportunity will allow you to accelerate your career growth, honing your technical and collaboration skills, and deepening your cloud expertise.
The Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft’s end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience.
This role is flexible in that you can work up to 100% from home.
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.
Responsibilities
• Accelerate new customer opportunities from Proof of Concept (PoC) to Production for Azure AI workloads such as Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning
• Provide customers with Generative AI expertise and advisory through architecture designs, proof of concepts, production reviews, and post-sales support
• Expand and grow Azure AI adoption for existing customer base
• Lead and provide guidance in technical escalations to unblock AI customers in collaboration with Microsoft stakeholders
• Provide expert perspective to key stakeholders to increase platform adoption through customer insights & feedback on a regular basis
• Drive product improvement and influence roadmap with Engineering through deep technical insights
• Increase AI technical intensity in the field through upskilling, sharing best practices, and scaling repeatable IP
Technical Experience
• Enterprise-scale technical experience with Azure AI Services including Azure OpenAI, Azure Cognitive Search, Azure Speech, Azure Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search
• "Hands on" experience creating AI Proof of Concepts, and Minimum Viable Products (MVPs) leading to production deployments
• The technical aptitude and experience to learn new technologies and understand market and relevant cloud trends
• Breadth of technical experience and knowledge (preferred):
o Application development skills - ability to implement a back end orchestration app (Python or similar) and integrate with Azure AI and other services
o Architecture Design – the ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc.
o Experience in architecting deployments for production in an enterprise setting including infrastructure knowledge, security, networking, and other considerations.
Qualifications
• Familiarity or direct exposure to key AI scenarios that are driving innovation in industries such as Financial Services, Retail, Healthcare, etc.
• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
• Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, Management, Data Scientists, Engineers, etc.)
