Sr Cloud Solution Architect

Microsoft

17h

About The Position

With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. CE&S drives cross-company alignment and execution, ensuring consistent customer expectations in every interaction. It is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio. The Global Customer Success (GCS) organization within CE&S leads support offer creation, digital transformation across tools, and operational excellence. As a Cloud Solution Architect aligned to the Azure AI platform for Microsoft's CE&S organization, you will enable customers to achieve outcomes based on their Microsoft technology investments. This hands-on role involves leveraging Microsoft Azure Artificial Intelligence (AI) and Machine Learning (ML) technical subject matter expertise to lead technical conversations, drive value, accelerate customer adoption by building Generative AI solutions, and identify resolutions to unblock customer success projects for the AI Factory. You will also drive product influence with Engineering through technical feedback and increase technical intensity with the Field teams. This opportunity offers career growth, honing technical and program management skills, and deepening cloud expertise. CSAs are senior individual contributors who operate globally and engage directly with customers, focusing on issue resolution to remove production blockers. The role spans design, build, and production, requiring comfort in switching from whiteboard to keyboard, and involves solving unique and challenging technical problems to ensure customer success.

Requirements

• Bachelor’s degree in computer science, Information Technology, Engineering, Business or related field AND 4+ years’ 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.
• Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years 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 Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
• 4+ years experience working in a customer-facing role (e.g., internal and/or external).
• 4+ years experience working on technical projects.
• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
• Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth / Subject Matter Expertise in one or more of the following: Deep Domain Expertise in Azure AI Areas: Deep domain expertise in one of the Azure AI specific areas, such as Cognitive Services, Azure OpenAI and CoPilot OR hands-on experience working with the respective products at the expert level.
• Expertise with Azure AI Search and/or Vector Indexes, Azure Document Processing and /or equivalent OCR technology
• Proficient with Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Azure Container Apps, Docker, API Management).
• The ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc.
• Proven experience building enterprise-grade, AI-focused solutions on the cloud (Azure, AWS, GCP) for customers, from Minimum Viable Products (MVPs) leading to production deployments.
• Strong understanding of Bicep, Terraform, or Azure Resource Manager and familiarity with configuration and deployment of IaC templates in a secure environment.
• Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, Large Language Models) and Foundational models toolsets.
• Understanding of Responsible AI practice including ethical considerations, bias mitigation, and fairness.

Nice To Haves

• Familiarity with AI & ML foundational knowledge of concepts like Prompt Engineering, tools (Jupyter notebooks & VS Code).
• Familiarity with Semantic Kernel, MCP, Langchain, or other agentic frameworks.
• Ability to configure tools for dynamic execution by an LLM
• Understanding the competitive landscape is valuable, candidates should be aware of key AI platforms beyond Azure, such as AWS and GCP.
• Knowledge of the AI open-source ecosystem

Responsibilities

• Play a pivotal role in the 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.
• Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment.
• Gather insights from customers and partners.
• Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments.
• Collaborate with local teams for nominations and intake support.
• Leverage subject matter expertise to identify resolutions for customer blockers.
• Follow best practices and utilize repeatable IP.
• Identify and contribute repeatable IP and assets that create velocity in deployment and drives customer value from their Unified investment.
• Continuously look to improve upon these assets utilizing the best of field inputs.
• Evaluate pilot opportunities for potential integration into existing offerings.
• Apply technical knowledge to design solutions aligned with business and IT needs.
• Create Innovate with AI roadmaps, lead POCs and MVPs, and ensure long-term technical viability.
• Share insights and best practices, collaborate with the Factory team to address key blockers, and influence improvements, roadmap and feature prioritization.
• Debug technical issues and provide fixes for engagements encountering blockers.
• Stay updated on market trends, collaborate with the AI technical community, and educate customers about the Azure AI platform.
• Through engaging with field teams, share expertise, drive factory pipeline, and promote Factory to accelerate customer success, as well as collate feedback upon execution to drive improvement and leverage field teams inputs.
• Embody our culture and values

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees