Cloud Solution Architect Roles - Cloud & AI Platforms AI Apps & Infrastructure at Microsoft

📍 Job Overview

Job Title: Cloud Solution Architect - Cloud & AI Platforms AI Apps & Infrastructure
Company: Microsoft
Location: Multiple Locations, Switzerland
Job Type: Full-Time
Category: Cloud & AI Platforms AI Apps & Infrastructure
Date Posted: 2025-08-01
Experience Level: 5-10 years
Remote Status: Hybrid (up to 50% remote)

🚀 Role Summary

Lead strategic engagements to drive AI adoption and innovation for enterprise customers in Switzerland
Design and scale intelligent applications using Azure, GitHub, and Microsoft's AI stack for App Innovation & AI Agents
Modernize and secure customer infrastructure, applications, and data on Microsoft Azure for AI Infrastructure
Collaborate with senior stakeholders and IT leaders to implement scalable, secure, and production-ready AI solutions
Deepen technical expertise, accelerate career growth, and make a real impact in shaping the future of AI-powered solutions

📝 Enhancement Note: Microsoft is seeking experienced Cloud Solution Architects to drive AI transformation for customers and the world. These roles offer unique opportunities to grow technically, accelerate careers, and make a significant impact in the AI space.

💻 Primary Responsibilities

AI Apps & Infrastructure: Guide customers through their AI adoption journey, influence senior stakeholders, and lead strategic engagements that drive innovation and business value
AI Infrastructure: Help enterprise customers modernize and secure their infrastructure, applications, and data on Microsoft Azure, ensuring readiness for AI workloads
Cross-functional Collaboration: Work closely with customer IT leaders, product teams, and other stakeholders to design and implement scalable, secure solutions
Technical Leadership: Provide thought leadership in AI agents, cloud-native development, enterprise architecture, and migration strategies
Customer Engagement: Build strong customer relationships, understand their business needs, and translate them into technical solutions

📝 Enhancement Note: These roles require a balance of technical depth and breadth, as well as strong communication and collaboration skills to drive successful AI engagements with enterprise customers.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant Master's degree or Ph.D. is a plus.

Experience: 5-10 years of experience in cloud solution architecture, AI applications, or related fields. Proven track record in driving AI adoption and innovation for enterprise customers.

Required Skills:

AI Apps & Infrastructure: Deep expertise in AI agents, cloud-native development, and enterprise architecture. Strong knowledge of Azure, GitHub, and Microsoft's AI stack.
AI Infrastructure: Experience with migration, modernization, and resilient architecture using frameworks like CAF and WAF. Strong understanding of infrastructure as code (IaC) principles and tools.
Soft Skills: Excellent communication, presentation, and stakeholder management skills. Strong problem-solving abilities and a customer-centric mindset.

Preferred Skills:

Experience with AI ethics, responsible AI, and AI governance principles
Familiarity with Agile methodologies and DevOps practices
Knowledge of multiple programming languages and AI frameworks
Experience with customer success, support, or consulting roles

📝 Enhancement Note: Microsoft values candidates with a strong understanding of AI ethics, responsible AI, and AI governance principles, as well as experience with Agile methodologies and DevOps practices.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

AI Apps & Infrastructure: Demonstrate successful AI projects showcasing your expertise in AI agents, cloud-native development, and enterprise architecture. Highlight your ability to drive innovation and business value for customers.
AI Infrastructure: Showcase your experience in infrastructure modernization and security projects. Include examples of resilient architecture, migration strategies, and secure implementation using Azure.
Technical Documentation: Provide well-documented code, architecture decisions, and project overviews. Include any relevant customer testimonials or case studies.

Technical Documentation:

AI Apps & Infrastructure: Prepare a portfolio that highlights your thought leadership in AI applications, including architecture diagrams, code snippets, and project overviews.
AI Infrastructure: Demonstrate your understanding of infrastructure as code (IaC) principles by including examples of Terraform, Azure Resource Manager (ARM) templates, or other IaC tools in your portfolio.

📝 Enhancement Note: Microsoft expects candidates to showcase their technical expertise and thought leadership through a well-curated portfolio that demonstrates their ability to drive AI adoption and innovation for enterprise customers.

💵 Compensation & Benefits

Salary Range: CHF 120,000 - CHF 180,000 per year (based on experience and market research)

Benefits:

Competitive salary and stock awards
Comprehensive health benefits package
Generous time off and paid leave options
Employee stock purchase plan
Employee giving program and matching gifts
Tuition assistance and professional development opportunities
Flexible work arrangements and remote work options

Working Hours: Full-time (40 hours/week), with flexible work options up to 50% remote

📝 Enhancement Note: Microsoft offers competitive compensation and benefits packages for experienced Cloud Solution Architects. The salary range provided is based on market research and regional adjustments for Switzerland.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology

Company Size: Large (45,000+ employees worldwide)

Founded: 1975

Team Structure:

AI Apps & Infrastructure: Work closely with the AI Apps & Infrastructure team, as well as cross-functional teams, including product, engineering, and sales
AI Infrastructure: Collaborate with the AI Infrastructure team, customer IT leaders, and other stakeholders to design and implement scalable, secure solutions

Development Methodology:

Agile methodologies, including Scrum and Kanban
Customer-centric development processes
Strong focus on collaboration, innovation, and continuous learning

Company Website: https://www.microsoft.com

📝 Enhancement Note: Microsoft's large and diverse team structure offers ample opportunities for collaboration, innovation, and career growth. The company's customer-centric development processes and strong focus on continuous learning make it an ideal place for experienced Cloud Solution Architects to thrive.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Cloud Solution Architect - Drives AI adoption and innovation for enterprise customers, influences senior stakeholders, and leads strategic engagements

Reporting Structure: Reports directly to the Cloud & AI Platforms leadership team, with a dotted line to the Customer Experience and Success (CE&S) organization

Technical Impact: Plays a critical role in shaping the future of AI-powered solutions in Switzerland by driving AI adoption and innovation for enterprise customers

Growth Opportunities:

AI Apps & Infrastructure: Grow into a Principal Cloud Solution Architect role, focusing on AI applications and driving innovation for enterprise customers
AI Infrastructure: Transition into a Principal Cloud Solution Architect role, specializing in AI infrastructure and driving modernization and security for enterprise customers
Technical Leadership: Develop into a technical lead or manager role, driving AI adoption and innovation for multiple customers and teams

📝 Enhancement Note: Microsoft offers clear career growth paths for experienced Cloud Solution Architects, with opportunities to specialize in AI applications or infrastructure, as well as transition into technical leadership roles.

🌐 Work Environment

Office Type: Modern, collaborative workspaces with a strong focus on innovation and continuous learning

Office Location(s): Multiple locations in Switzerland, with flexible work options up to 50% remote

Workspace Context:

AI Apps & Infrastructure: Collaborate with cross-functional teams, including product, engineering, and sales, to drive AI adoption and innovation for enterprise customers
AI Infrastructure: Work closely with customer IT leaders and other stakeholders to design and implement scalable, secure solutions

Work Schedule: Full-time (40 hours/week), with flexible work options up to 50% remote

📝 Enhancement Note: Microsoft's modern, collaborative workspaces and flexible work arrangements foster an innovative and inclusive work environment for experienced Cloud Solution Architects.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: Demonstrate your expertise in AI applications, cloud-native development, and enterprise architecture through a technical assessment or case study
Behavioral Questions: Share examples of your problem-solving skills, customer-centric mindset, and ability to drive AI adoption and innovation for enterprise customers
Stakeholder Management: Discuss your experience working with senior stakeholders and driving strategic engagements
Final Interview: Present your portfolio, discuss your career goals, and answer any remaining questions from the hiring team

Portfolio Review Tips:

AI Apps & Infrastructure: Highlight your thought leadership in AI applications, including architecture diagrams, code snippets, and project overviews
AI Infrastructure: Demonstrate your understanding of infrastructure as code (IaC) principles by including examples of Terraform, Azure Resource Manager (ARM) templates, or other IaC tools in your portfolio

Technical Challenge Preparation:

Brush up on your knowledge of Azure, GitHub, and Microsoft's AI stack
Familiarize yourself with AI agents, cloud-native development, and enterprise architecture concepts
Prepare for behavioral questions that focus on your problem-solving skills, customer-centric mindset, and ability to drive AI adoption and innovation

ATS Keywords:

Cloud Solution Architecture
AI Applications
AI Infrastructure
Azure
GitHub
AI Agents
Enterprise Architecture
Cloud-Native Development
Migration
Modernization
Resilient Architecture
Customer Engagement
Strategic Engagements
Security
Scalable Solutions
Collaboration

📝 Enhancement Note: Microsoft's interview process for experienced Cloud Solution Architects focuses on technical expertise, problem-solving skills, and customer-centric mindset. Candidates should be prepared to demonstrate their thought leadership in AI applications and infrastructure, as well as their ability to drive AI adoption and innovation for enterprise customers.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable, as this role focuses on cloud and AI platforms

Backend & Server Technologies:

AI Apps & Infrastructure: Azure, GitHub, Microsoft's AI stack (e.g., Azure Machine Learning, Azure Cognitive Services)
AI Infrastructure: Azure, Azure Resource Manager (ARM) templates, Terraform, other infrastructure as code (IaC) tools

Development & DevOps Tools:

Azure DevOps, GitHub Actions, Azure Pipelines
Infrastructure as code (IaC) tools (e.g., Terraform, Azure Resource Manager (ARM) templates)
Agile methodologies (e.g., Scrum, Kanban)

📝 Enhancement Note: Microsoft's technology stack for experienced Cloud Solution Architects includes Azure, GitHub, and Microsoft's AI stack for AI applications and infrastructure. Candidates should be proficient in these technologies and related tools.

👥 Team Culture & Values

Web Development Values:

AI Apps & Infrastructure: Customer-centric innovation, continuous learning, and collaboration
AI Infrastructure: Security, scalability, and customer success

Collaboration Style:

AI Apps & Infrastructure: Cross-functional collaboration with product, engineering, and sales teams
AI Infrastructure: Close collaboration with customer IT leaders and other stakeholders

📝 Enhancement Note: Microsoft's team culture for experienced Cloud Solution Architects emphasizes customer-centric innovation, continuous learning, collaboration, security, and customer success. Candidates should be able to thrive in a collaborative, cross-functional work environment.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Apps & Infrastructure: Stay up-to-date with the latest AI trends and technologies, and drive innovation for enterprise customers
AI Infrastructure: Ensure the security, scalability, and performance of customer infrastructure, applications, and data on Microsoft Azure

Learning & Development Opportunities:

AI Apps & Infrastructure: Deepen your expertise in AI applications, cloud-native development, and enterprise architecture through continuous learning and collaboration with cross-functional teams
AI Infrastructure: Expand your knowledge of infrastructure as code (IaC) principles, Azure, and other relevant technologies through training, workshops, and hands-on experience

📝 Enhancement Note: Microsoft offers experienced Cloud Solution Architects the opportunity to tackle technical challenges and drive innovation in AI applications and infrastructure. The company also provides ample learning and development opportunities to help candidates grow technically and professionally.

💡 Interview Preparation

Technical Questions:

AI Apps & Infrastructure: Prepare for questions about AI agents, cloud-native development, enterprise architecture, and driving AI adoption and innovation for enterprise customers
AI Infrastructure: Brush up on your knowledge of migration, modernization, resilient architecture, and infrastructure as code (IaC) principles

Company & Culture Questions:

Research Microsoft's mission, values, and commitment to driving AI transformation for customers and the world
Prepare for questions about your customer-centric mindset, problem-solving skills, and ability to drive AI adoption and innovation

Portfolio Presentation Strategy:

AI Apps & Infrastructure: Highlight your thought leadership in AI applications, including architecture diagrams, code snippets, and project overviews
AI Infrastructure: Demonstrate your understanding of infrastructure as code (IaC) principles by including examples of Terraform, Azure Resource Manager (ARM) templates, or other IaC tools in your portfolio

📝 Enhancement Note: Microsoft's interview preparation for experienced Cloud Solution Architects focuses on technical expertise, problem-solving skills, and customer-centric mindset. Candidates should be prepared to demonstrate their thought leadership in AI applications and infrastructure, as well as their ability to drive AI adoption and innovation for enterprise customers.

📌 Application Steps

To apply for this Cloud Solution Architect position at Microsoft:

Submit your application through the application link provided
Customize your portfolio to highlight your expertise in AI applications, cloud-native development, and enterprise architecture for AI Apps & Infrastructure, or your experience in infrastructure modernization and security for AI Infrastructure
Optimize your resume for web technology roles, emphasizing your project highlights and technical skills
Prepare for technical interviews by brushing up on your knowledge of Azure, GitHub, Microsoft's AI stack, and related tools
Research Microsoft's company culture, mission, and values to demonstrate your fit and enthusiasm for driving AI transformation for customers and the world

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Cloud Solution Architect Roles - Cloud & AI Platforms AI Apps & Infrastructure