Solution Engineer Cloud & AI Apps at Microsoft

📍 Job Overview

Job Title: Solution Engineer - Cloud & AI Apps
Company: Microsoft
Location: Multiple Locations, Switzerland
Job Type: Full-Time
Category: Solution Engineering - AI & Cloud
Date Posted: 2025-08-01

🚀 Role Summary

📝 Enhancement Note: This role focuses on helping enterprise AI developers leverage Microsoft's AI-powered stack across the development lifecycle, with a key emphasis on commercial and public sector "Major Growth" customers.
Empower enterprise AI developers to unlock the full potential of Microsoft's AI platform.
Collaborate with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI adoption.
Guide customers through secure, scalable solution design and influence technical decisions.
Accelerate AI applications and agents into customers' development workflows.

💻 Primary Responsibilities

📝 Enhancement Note: The primary responsibilities revolve around customer engagement, solution design, and technical advisory services to modernize customers' applications using Microsoft's AI platform.
Serve as a trusted technical advisor, guiding customers through secure and scalable solution design.
Influence technical decisions and accelerate AI applications and agents into customers' development workflows.
Collaborate with engineering leaders and platform teams to drive AI Foundry, Azure AI, and Responsible AI adoption through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops.
Help customers modernize their applications and realize the full value of Microsoft's AI platform.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant work experience may be considered in lieu of a degree.

Experience: Proven experience (2-5 years) in AI applications, cloud solutions, or a related field. Familiarity with AI development lifecycle and Microsoft's AI platform is a plus.

Required Skills:

Strong passion for AI and applications.
Proven ability to tackle complex challenges in a dynamic environment.
Excellent collaboration and communication skills.
Experience with solution design and architecture workshops.
Familiarity with Proof of Concepts and hackathons.
Knowledge of Azure AI and Responsible AI principles.
Understanding of the enterprise AI development lifecycle.

Preferred Skills:

Experience with AI Foundry and Microsoft's AI platform.
Familiarity with enterprise customer engagement and account management.
Knowledge of industry-specific AI applications and use cases.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your experience with AI applications, cloud solutions, and solution design through case studies and projects.
Showcase your ability to guide customers through secure and scalable solution design with real-world examples.
Highlight your technical advisory skills and how you've influenced technical decisions in previous projects.

Technical Documentation:

Provide detailed documentation of your solution design processes, including architecture diagrams, security considerations, and scalability plans.
Include any relevant code snippets, data analysis, or AI model descriptions that demonstrate your technical expertise.

💵 Compensation & Benefits

Salary Range: CHF 90,000 - 140,000 per year (based on experience and location). This is an estimated range and may vary based on the specific location and cost of living.

Benefits:

Competitive salary and benefits package.
Flexible work arrangements, including remote work opportunities.
Opportunities for professional growth and development.
A dynamic and innovative work environment.

Working Hours: Full-time position with standard working hours (40 hours/week). Flexible work arrangements may be available.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, focusing on developing, manufacturing, licensing, supporting, and selling computer software, consumer electronics, and services.

Company Size: Microsoft is a large corporation with over 180,000 employees globally, providing ample opportunities for collaboration and growth.

Founded: Microsoft was founded in 1975 and has since grown into one of the world's leading technology companies.

Team Structure:

The AI Applications team focuses on empowering enterprise AI developers to unlock the full potential of Microsoft's AI platform.
The team collaborates closely with engineering leaders and platform teams to drive AI adoption and innovation.
The team structure promotes cross-functional collaboration and knowledge sharing.

Development Methodology:

Microsoft follows Agile methodologies for software development, with a focus on iterative development, customer collaboration, and continuous improvement.
The company emphasizes innovation, collaboration, and a growth mindset in its development processes.

Company Website: Microsoft Careers

📝 Enhancement Note: Microsoft's company culture emphasizes innovation, collaboration, and a growth mindset. The company values respect, integrity, and accountability, fostering a culture of inclusion where everyone can thrive at work and beyond.

📈 Career & Growth Analysis

Web Technology Career Level: This role is an intermediate to senior-level position, focusing on solution engineering and technical advisory services in the AI and cloud domains.

Reporting Structure: The AI Applications Solution Engineer reports to the AI Applications team lead and collaborates closely with engineering leaders and platform teams.

Technical Impact: The role has a significant technical impact, guiding customers through secure and scalable solution design, influencing technical decisions, and accelerating AI applications and agents into customers' development workflows.

Growth Opportunities:

Career Progression: With experience and proven success, there are opportunities to advance to senior solution engineering roles or transition into management or technical leadership positions.
Technical Skill Development: The role offers continuous learning opportunities, allowing professionals to deepen their expertise in AI applications, cloud solutions, and Microsoft's AI platform.
Technical Leadership: As a trusted technical advisor, the role provides opportunities to develop technical leadership skills and influence the direction of AI applications and agents within customers' organizations.

📝 Enhancement Note: Microsoft offers numerous growth opportunities for AI Applications Solution Engineers, including career progression, technical skill development, and technical leadership roles. The company's large size and diverse portfolio provide ample opportunities for professionals to grow and expand their expertise.

🌐 Work Environment

Office Type: Microsoft offers a mix of on-site, remote, and hybrid work environments, depending on the role and team requirements.

Office Location(s): Multiple locations across Switzerland, with the option to work remotely.

Workspace Context:

On-Site: Microsoft offices provide collaborative workspaces, with access to multiple monitors, testing devices, and development tools.
Remote: Remote work requires a suitable home office setup with reliable internet access and appropriate collaboration tools.
Hybrid: A combination of on-site and remote work, with flexibility to balance both environments based on team and project needs.

Work Schedule: Full-time position with standard working hours (40 hours/week). Flexible work arrangements may be available, depending on the role and team requirements.

📝 Enhancement Note: Microsoft's work environment offers flexibility, with a mix of on-site, remote, and hybrid work arrangements. The company's collaborative culture and emphasis on innovation foster a productive and engaging work environment for AI Applications Solution Engineers.

📄 Application & Technical Interview Process

Interview Process:

Initial Screening: A phone or video call to discuss your background, experience, and fit for the role.
Technical Assessment: A hands-on coding or design challenge focused on AI applications, cloud solutions, or solution design.
Architecture Workshop: A group exercise or presentation focused on designing secure and scalable AI solutions.
Final Interview: A discussion with the hiring manager and team members to assess your cultural fit, communication skills, and overall qualifications.

Portfolio Review Tips:

Highlight your experience with AI applications, cloud solutions, and solution design through case studies and projects.
Showcase your ability to guide customers through secure and scalable solution design with real-world examples.
Emphasize your technical advisory skills and how you've influenced technical decisions in previous projects.

Technical Challenge Preparation:

Brush up on your knowledge of AI applications, cloud solutions, and Microsoft's AI platform.
Familiarize yourself with solution design principles, architecture workshops, and Proof of Concepts.
Prepare for hands-on coding or design challenges related to AI applications and cloud solutions.

ATS Keywords:

AI Applications
Cloud Solutions
Solution Design
Technical Advisory
Collaboration
Innovation
Productivity
Architecture Workshops
Proof of Concepts
Hackathons
Azure AI
Responsible AI
Development Lifecycle
Customer Engagement
Scalable Solutions
Modernization

📝 Enhancement Note: Microsoft's interview process focuses on assessing candidates' technical skills, problem-solving abilities, and cultural fit. The company values innovation, collaboration, and a growth mindset, so be prepared to demonstrate these qualities throughout the interview process.

🛠 Technology Stack & Web Infrastructure

AI & Cloud Technologies:

Azure AI: Microsoft's comprehensive suite of AI services and tools for building, deploying, and managing AI applications.
AI Foundry: Microsoft's platform for agentic AI development, enabling AI agents to streamline development and operations.
Responsible AI: Microsoft's approach to developing and deploying AI systems that are fair, reliable, and robust.

Solution Design & Architecture Tools:

Microsoft Visio: A diagramming and vector graphics application for creating architecture diagrams and flowcharts.
Azure Architecture Center: A collection of articles, videos, and tools to help architects design and implement secure, scalable, and resilient cloud solutions.
Azure DevOps: A set of development and project management tools for planning, tracking, and collaborating on software development projects.

📝 Enhancement Note: Microsoft's technology stack focuses on AI and cloud solutions, with an emphasis on Azure AI, AI Foundry, and Responsible AI. The company provides a comprehensive set of tools for solution design, architecture, and project management, enabling AI Applications Solution Engineers to create secure, scalable, and innovative AI solutions.

👥 Team Culture & Values

AI Applications Team Values:

Innovation: Embrace a growth mindset and continuously seek new ways to empower enterprise AI developers.
Collaboration: Work closely with engineering leaders, platform teams, and customers to drive AI adoption and innovation.
Customer Obsessed: Focus on understanding and addressing customers' needs to deliver meaningful impact.
One Microsoft: Leverage the collective strengths of Microsoft's diverse portfolio to drive AI success across the organization.

Collaboration Style:

Cross-Functional Integration: Collaborate with engineering leaders, platform teams, and customers to drive AI adoption and innovation.
Code Review Culture: Foster a culture of knowledge sharing and continuous learning through code reviews and architecture workshops.
Peer Programming: Encourage pair programming and collaborative problem-solving to drive innovation and quality.

📝 Enhancement Note: Microsoft's AI Applications team values innovation, collaboration, and a customer-centric approach. The team fosters a culture of knowledge sharing, continuous learning, and cross-functional collaboration to drive AI adoption and innovation.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Applications Complexity: Navigate the complexities of enterprise AI development and deployment, balancing performance, scalability, and security.
Cloud Migration: Assist customers in migrating their AI applications to the cloud, ensuring a seamless transition and minimal downtime.
AI Model Optimization: Optimize AI models for performance, accuracy, and interpretability, balancing trade-offs between computational resources and user experience.
Responsible AI: Ensure that AI applications are fair, reliable, and robust, adhering to ethical principles and regulatory requirements.

Learning & Development Opportunities:

AI & Cloud Training: Participate in AI and cloud training programs to deepen your expertise in Microsoft's AI platform and emerging technologies.
Conferences & Events: Attend industry conferences, webinars, and hackathons to stay up-to-date with the latest trends and best practices in AI and cloud solutions.
Mentorship & Coaching: Seek mentorship and coaching opportunities from experienced team members and industry experts to accelerate your career growth and development.

📝 Enhancement Note: Microsoft's AI Applications Solution Engineer role presents numerous technical challenges and growth opportunities. The role requires professionals to navigate the complexities of enterprise AI development, cloud migration, AI model optimization, and responsible AI. The company offers ample learning and development opportunities to help professionals grow and expand their expertise in AI and cloud solutions.

💡 Interview Preparation

Technical Questions:

AI Applications Fundamentals: Demonstrate your understanding of AI applications, cloud solutions, and solution design principles with targeted questions and real-world examples.
AI Architecture: Showcase your ability to design secure, scalable, and innovative AI solutions with architecture-focused questions and case studies.
Problem-Solving: Solve complex problems related to AI applications, cloud solutions, and solution design, demonstrating your analytical and critical thinking skills.

Company & Culture Questions:

Microsoft's AI Platform: Demonstrate your understanding of Microsoft's AI platform, including Azure AI, AI Foundry, and Responsible AI, and how you would leverage these tools to drive AI adoption and innovation.
Customer Engagement: Explain your approach to understanding and addressing customers' needs, and how you would collaborate with customers to deliver meaningful impact.
Innovation & Collaboration: Describe your experience with innovation and collaboration, and how you would apply these principles to drive AI adoption and success within Microsoft.

Portfolio Presentation Strategy:

Live Demonstration: Prepare a live demonstration of your AI applications, cloud solutions, or solution design projects, highlighting your technical expertise and problem-solving skills.
Code Explanation: Be prepared to explain your code and architectural decisions, demonstrating your ability to design secure, scalable, and innovative AI solutions.
User Experience Showcase: Highlight the user experience aspects of your AI applications, demonstrating your ability to create intuitive, accessible, and engaging user interfaces.

📝 Enhancement Note: Microsoft's interview process focuses on assessing candidates' technical skills, problem-solving abilities, and cultural fit. Be prepared to demonstrate your expertise in AI applications, cloud solutions, and solution design, as well as your ability to collaborate, innovate, and drive AI adoption and success within the company.

📌 Application Steps

To apply for this AI Applications Solution Engineer position at Microsoft:

Customize Your Portfolio: Tailor your portfolio to highlight your experience with AI applications, cloud solutions, and solution design, with a focus on real-world examples and customer impact.
Optimize Your Resume: Highlight your relevant skills, experience, and achievements in AI applications, cloud solutions, and solution design, using industry-relevant keywords to improve search visibility.
Prepare for Technical Interviews: Brush up on your knowledge of AI applications, cloud solutions, and solution design, and practice solving complex problems and designing secure, scalable AI solutions.
Research Microsoft: Familiarize yourself with Microsoft's AI platform, including Azure AI, AI Foundry, and Responsible AI, and understand how the company's values and culture align with your personal and professional goals.

⚠️ 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.

Solution Engineer Cloud & AI Apps