Overview
that includes accelerating customer adoption by building Analytics & AI solutions and identifying resolutions to unblock customer success projects for the Analytics & AI Factory. You will also drive product influence with Engineering through technical feedback via the Factory and increase technical intensity with the Field teams. This opportunity will allow you to accelerate your career growth, honing your technical and program management 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 differentiated and connected customer experience.
CSAs are senior individual contributors who operate globally and engage directly with customers. It is a hands-on technical role spanning across design, build, and production with a focus on issue resolution to remove customer production blockers. Candidates are expected to comfortably switch from a whiteboard to the keyboard. This is a truly exciting role that will feature unique and challenging technical problems to solve and to help our customers succeed. 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
* Customer-Centric Approach: Play a pivotal role in the Analytics & AI Factory, providing technical enablement, operational support, and strategic engagement across customer projects. Ensure successful delivery of AI solutions, troubleshoot complex issues, and support innovation through pilot evaluations and advanced use case development. Understand customers\' overall data estate, business priorities, and IT success measures. Innovate with AI solutions that drive business value.
* Facilitate scalable delivery through strong technical program management utilizing a factory model/approach, driving program awareness and demand across the regional operating units. Attend in-flight project status meetings to monitor progress and identify support needs. Engage directly with complex or non-standard customer use cases beyond existing accelerators. Participate in intake reviews for milestone sizing, objection handling, and technical scoping.
* 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 by developing opportunities to enhance Customer Success and help customers extract value from their Microsoft investments. Maintain Operational Awareness with understanding of consumption metrics and collaboration with local teams for nominations and intake support. Unblock Customer Challenges by leveraging subject matter expertise to identify resolutions for blockers, following best practices and using repeatable IP. Identify and contribute repeatable IP and assets that create velocity in deployment and drive customer value from their Unified investment; continuously improve assets with field inputs and evaluate pilot opportunities for potential integration into existing offerings. Architect AI Solutions by applying technical knowledge to design solutions aligned with business and IT needs; create roadmaps, lead POCs and MVPs, and ensure long-term technical viability.
* Technical Leadership: Advocate for Customers by sharing insights and best practices, collaborating with the Factory team to address key blockers, and influencing improvements, roadmap and feature prioritization. Resolve technical blockers by debugging issues and providing fixes for engagements with blockers. Maintain Continuous Learning by staying updated on market trends, collaborating with the Analytics & AI technical community, and educating customers about the Azure AI platform. Accelerate Outcomes by engaging with field teams, sharing expertise, driving factory pipeline, and promoting Factory to accelerate customer success; collect feedback from execution to drive improvement and leverage field inputs.
Qualifications
* Bachelor's degree in computer science, Information Technology, Engineering, Business or related field and proven 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: breadth of technical experience with foundational security, foundational AI, architecture design, and depth in one or more areas including:
* Deep Domain Expertise in Azure Analytics & AI areas or hands-on experience with the respective products at expert level.
* Programming Languages and Integration: knowledge of Python, C#, R, JavaScript, or similar languages in applications development; ability to integrate Azure AI with services (e.g., Azure Functions, Azure Container Apps, Docker, API Management). Experience with Azure Analytics ecosystem (Microsoft Fabric, Power BI, Power BI Embedded, Azure Analysis Services, Azure Databricks, Azure Data Lake).
* Architecting Enterprise-Grade Solutions: ability to create and explain 3-tier, system context, and interaction diagrams; experience building enterprise-grade, AI-focused solutions on cloud platforms (Azure, AWS, GCP) from MVPs to production deployments.
* Infrastructure as Code (IaC) Deployment: understanding of Bicep, Terraform, or Azure Resource Manager and familiarity with deploying IaC templates in secure environments.
* Core AI & ML Concepts: familiarity with AI & ML concepts such as Prompt Engineering, Jupyter notebooks, and VS Code.
* Generative AI and Responsible AI: knowledge of current and emerging AI technologies and use cases including Large Language Models and foundational models toolsets; understanding of Responsible AI practices including ethics, bias mitigation, and fairness.
* Competitive Landscape: awareness of key AI platforms beyond Azure (e.g., AWS and GCP) and knowledge of the AI open-source ecosystem.
The Global Customer Success (GCS) organization within CE&S is leading efforts to enable customer success on the Microsoft Cloud by leveraging AI-powered capabilities and human expertise to deliver innovation solutions that accelerate value, drive operational excellence, and nurture long-term loyalty. We are looking to hire a hands-on Cloud Solution Architect (CSA) to join our diverse, high-performance Technical Success team within the Analytics & AI focus area. As a CSA aligned to the Azure Analytics & AI platform for Microsoft\'s CE&S organization, you will enable customers to achieve their outcomes based on their investments in Microsoft technology. Leveraging your Microsoft Azure Analytics & AI 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.
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