Senior Cloud Solution Architect at Microsoft

, , Netherlands -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Solution Architecture, AI Applications, Azure, Data Platforms, GitHub, Python, DotNet, DevOps, Security, Customer Engagement, Technical Workshops, AI Governance, Application Development, Technical Leadership, Cloud Technologies, Business Acumen

Industry

Software Development

Description

Overview The International Customer Success Organization (iCSU) mission is to incubate, deliver and scale world-class customer success services for Microsoft’s most strategic, innovative, complex, and globally operating customers. Join our expanding and culturally diverse iCSU team as a Senior Cloud Solution Architect (CSA) for AI Apps and help us build a future where customers come to us not only because we provide industry-leading, AI-enabling products and services, but also because we provide differentiated and connected customer experiences. You will become a valued member of our passionate, collaborative, and innovative team of experienced CSAs, who are looking forward to welcoming you in the fast-paced and dynamic Era of AI. Our customers are longing for your support to help them get their data ready for AI! As a Senior Cloud Solution Architect, Cloud & AI Apps) in iCSU, you will design, land, and scale AI-powered application architectures across Azure (including Azure OpenAI Service, AI Services, AKS/Containers, Data & App Platform, and GitHub) to accelerate Microsoft Cloud consumption. You will lead Customer funded technical engagements, remove blockers, and industrialize reusable patterns and accelerators that bring scale, agility, and cross-solution coverage to our largest Global Accounts—coordinating delivery across international downstream locations for a seamless, globally coordinated customer experience. This opportunity will allow you to: deepen your AI apps expertise—from prompt engineering and retrieval patterns to responsible AI and cost governance—across complex, multi-geo enterprises. develop solid business acumen linking architectural decisions to measurable value and consumption growth, and hone delivery leadership by orchestrating cross-functional teams to ship secure, compliant, production-ready AI solutions at scale. We support hybrid work with the ability to work from home part-time up to 80%, aligned to customer time zones, key collaboration moments, and business needs. Responsibilities Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub. Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes. Qualifications Required Qualifications (RQs) Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND solid experience in cloud/infrastructure technologies, information technology (IT) consulting/support, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience Proven experience architecting and implementing enterprise-grade cloud-native solutions with AI capabilities – preferably pre-existing knowledge of Azure. Proven experience implementing cloud-native applications in Python or .NET with generative AI capabilities. Solid experience in any of the following: Azure AI Foundry (Models, Agent Service, Semantic Kernel, Search, ML, SDK) Copilot Studio AppPlat/Containers/Serverless (App Service, AKS, ACA, ARO, Functions) Azure Integration Service (APIM, Logic Apps) DevOps (CI/CD, Azure DevOps, DevSecOps) GitHub (Copilot, Enterprise, Adv Security, Actions, Codespaces) 3P GPU/AI Infra/BYOAIM Data (Cosmos DB, Azure SQL, Azure Database for PostgreSQL) Languages: Business fluency in English, additional languages like German, Italian, Spanish are a plus. Preferred Qualifications (PQs) Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND excellent 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, or related field AND sound experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience Sound experience working in a customer-facing role (e.g., internal and/or external). Experience implementing hands-on Proof of Concepts (PoC), Minimum Viable Products (MVPs) using Copilot Studio and / or with Microsoft Teams Extensibility. Passion in accelerated development workflows leveraging AI-first software development environments (e.g., GitHub Copilot, Cursor, Claude Code). 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. Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications) This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

As a Senior Cloud Solution Architect, you will engage with customer IT and business leaders to design secure, scalable solutions that drive business value. You will lead technical engagements and ensure the successful delivery of AI-powered application architectures across Azure.