Cloud & AI Solution Engineer - Software, Development Tools and AI at Microsoft

📍 Job Overview

Job Title: Cloud & AI Solution Engineer - Software, Development Tools and AI
Company: Microsoft
Location: Oslo, Norway
Job Type: Full-Time
Category: Solution Engineering
Date Posted: June 23, 2025
Experience Level: Mid-Senior level (2-5 years)
Remote Status: On-site (Oslo, Norway)

🚀 Role Summary

Empower enterprise developers to build intelligent applications using Microsoft's AI-powered developer stack
Collaborate with engineering leaders to accelerate GitHub, Visual Studio, and Azure AI adoption through hands-on engagements
Shape secure, scalable, and future-ready architectures for customers, driving meaningful business outcomes
📝 Enhancement Note: This role requires a strong technical background in software development and a deep understanding of AI integration to effectively guide customers through the software development lifecycle.

💻 Primary Responsibilities

Serve as a trusted technical advisor, helping customers understand the value of Microsoft's AI-powered developer stack
Accelerate GitHub, Visual Studio, and Azure AI adoption through Proof of Concepts, hackathons, code-with sessions, and architecture workshops
Influence technical decisions and drive AI integration into customers' development workflows
Rapidly assess customers' current environments and envision secure, scalable, and future-ready architectures
Collaborate with cross-functional teams to shape innovative solutions that drive business outcomes
📝 Enhancement Note: This role requires exceptional communication skills to effectively engage with customers and influence technical decisions.

🎓 Skills & Qualifications

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

Experience: 2-5 years of experience in software development, with a focus on application development and AI integration.

Required Skills:

Proven experience in application development and AI integration
Strong technical sales skills and the ability to influence technical decisions
Experience with GitHub, Visual Studio, and Azure AI
Familiarity with the software development lifecycle and DevSecOps practices
Excellent communication and presentation skills

Preferred Skills:

Experience with solution design and architecture
Familiarity with enterprise development environments and challenges
Knowledge of one or more programming languages (e.g., C#, Python, JavaScript)
Experience with cloud platforms (e.g., Azure, AWS, GCP)

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your experience with application development and AI integration through relevant projects
Showcase your ability to design secure, scalable, and future-ready architectures
Highlight your technical sales skills and ability to influence technical decisions through customer success stories

Technical Documentation:

Provide detailed documentation of your past projects, including code quality, version control, deployment processes, and server configuration
Include testing methodologies, performance metrics, and optimization techniques used in your projects

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Oslo, Norway is NOK 600,000 - 800,000 per year (based on market research and industry standards for mid-senior level solution engineering roles).

Benefits:

Competitive benefits package, including health insurance and retirement plans
Generous vacation and sick leave policies
Opportunities for professional development and career growth
📝 Enhancement Note: Microsoft offers a comprehensive benefits package, including competitive salaries, stock awards, and employee stock purchase plans.

Working Hours: Full-time position with standard working hours, Monday through Friday. Occasional overtime may be required to meet project deadlines or customer needs.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, with a focus on developing and delivering innovative software, hardware, and services. This role will be part of the Cloud & AI team, which is responsible for driving adoption and innovation in Microsoft's AI-powered developer stack.

Company Size: Microsoft is a large corporation with over 180,000 employees worldwide. This size provides opportunities for career growth and exposure to diverse teams and projects.

Founded: Microsoft was founded in 1975 by Bill Gates and Paul Allen. The company has a rich history of innovation and is committed to empowering every person and every organization on the planet to achieve more.

Team Structure:

The Cloud & AI team is responsible for driving adoption and innovation in Microsoft's AI-powered developer stack
The team consists of solution engineers, technical sales specialists, and product managers
The team works closely with engineering and product teams to shape the future of Microsoft's developer platform

Development Methodology:

Microsoft follows Agile development methodologies, with a focus on iterative development and continuous improvement
The team uses GitHub for version control and collaboration, and Azure DevOps for deployment and release management
📝 Enhancement Note: Microsoft's development methodologies are designed to empower developers and enable them to build innovative solutions that drive business outcomes.

Company Website: Microsoft Careers

📈 Career & Growth Analysis

Web Technology Career Level: This role is a mid-senior level solution engineering position, focusing on driving adoption and innovation in Microsoft's AI-powered developer stack. The role requires a strong technical background in software development and a deep understanding of AI integration.

Reporting Structure: This role reports directly to the Cloud & AI team lead and works closely with engineering and product teams to shape the future of Microsoft's developer platform.

Technical Impact: The technical impact of this role is significant, as the solution engineer will be responsible for guiding customers through the software development lifecycle and driving AI integration into their development workflows. The role will also influence the design and architecture of customer solutions, ensuring they are secure, scalable, and future-ready.

Growth Opportunities:

Career Progression: With Microsoft's large size and diverse teams, there are numerous opportunities for career progression within the company. This role could lead to promotions within the Cloud & AI team or to other teams within Microsoft.
Technical Skill Development: The role offers opportunities to develop technical skills in AI integration, solution design, and architecture. Additionally, working with Microsoft's cutting-edge technology stack will provide exposure to emerging technologies and trends.
Leadership Potential: As a trusted technical advisor, this role offers opportunities to develop leadership skills and influence technical decisions within customer organizations.

📝 Enhancement Note: Microsoft's large size and diverse teams provide numerous opportunities for career growth and development. The company is committed to empowering employees to achieve more and offers a range of training and development programs to support this.

🌐 Work Environment

Office Type: Microsoft's Oslo office is a modern, collaborative workspace designed to facilitate innovation and creativity. The office features open-plan workspaces, meeting rooms, and breakout areas.

Office Location(s): Microsoft's Oslo office is located in the Aker Brygge area, offering easy access to public transportation and amenities.

Workspace Context:

The workspace is designed to encourage collaboration and communication between team members
The office features state-of-the-art technology and tools to support productivity and innovation
📝 Enhancement Note: Microsoft's offices are designed to be inclusive and accessible, with features such as adjustable desks, ergonomic chairs, and accessible restrooms.

Work Schedule: Full-time position with standard working hours, Monday through Friday. Occasional overtime may be required to meet project deadlines or customer needs. The role may also require travel to customer sites and industry events.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A hands-on technical assessment to evaluate your application development and AI integration skills. This may include coding challenges, architecture design exercises, or case studies.
Solution Design Workshop: A collaborative workshop to assess your ability to design secure, scalable, and future-ready architectures. You will be presented with a customer scenario and asked to develop a solution design.
Customer Engagement Simulation: A role-play exercise to evaluate your technical sales skills and ability to influence technical decisions. You will be asked to engage with a customer and demonstrate your understanding of Microsoft's AI-powered developer stack.
Final Interview: A final interview with the hiring manager to discuss your fit for the role and the team.

Portfolio Review Tips:

Highlight your experience with application development and AI integration through relevant projects
Showcase your ability to design secure, scalable, and future-ready architectures
Include customer success stories that demonstrate your technical sales skills and ability to influence technical decisions

Technical Challenge Preparation:

Brush up on your application development and AI integration skills, with a focus on Microsoft's technology stack (GitHub, Visual Studio, Azure AI)
Familiarize yourself with solution design principles and architecture best practices
Prepare for customer engagement scenarios by researching Microsoft's AI-powered developer stack and understanding its value proposition

ATS Keywords:

Programming Languages: C#, Python, JavaScript, etc.
Web Frameworks: GitHub, Visual Studio, Azure AI, etc.
Server Technologies: Azure, AWS, GCP, etc.
Databases: SQL Server, Cosmos DB, etc.
Tools: Git, Azure DevOps, etc.
Methodologies: Agile, Scrum, etc.
Soft Skills: Communication, Presentation, Influencing, etc.
Industry Terms: AI Integration, Software Development Lifecycle, DevSecOps, etc.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies:

Not applicable to this role, as it focuses on solution engineering and technical sales

Backend & Server Technologies:

Azure: Microsoft's cloud platform, used for hosting and managing customer solutions
Azure AI: Microsoft's AI platform, used for AI integration and machine learning services
GitHub: Microsoft's version control and collaboration platform, used for managing customer codebases
Visual Studio: Microsoft's integrated development environment, used for developing and debugging customer solutions

Development & DevOps Tools:

Azure DevOps: Microsoft's deployment and release management platform, used for automating deployment pipelines and managing customer environments
Git: Microsoft's version control system, used for managing customer codebases and facilitating collaboration
📝 Enhancement Note: Microsoft's technology stack is designed to be comprehensive and integrated, providing a seamless developer experience across the software development lifecycle.

👥 Team Culture & Values

Web Development Values:

Innovation: Microsoft values innovation and encourages employees to think creatively and push the boundaries of what's possible.
Customer Obsessed: Microsoft is committed to understanding and meeting the needs of its customers, and expects employees to be customer-focused in their work.
One Microsoft: Microsoft values collaboration and teamwork, and expects employees to work together to achieve common goals.
Growth Mindset: Microsoft encourages employees to embrace a growth mindset, continuously learning and improving their skills and abilities.

Collaboration Style:

Cross-Functional Integration: The Cloud & AI team works closely with engineering and product teams to shape the future of Microsoft's developer platform.
Code Review Culture: Microsoft values code review and encourages employees to collaborate and learn from one another.
Knowledge Sharing: Microsoft encourages employees to share their knowledge and expertise with one another, fostering a culture of continuous learning and improvement.

📝 Enhancement Note: Microsoft's culture is designed to be inclusive and collaborative, with a focus on empowering employees to achieve more.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Integration: Helping customers integrate AI into their development workflows can be challenging, as it requires a deep understanding of both AI and software development principles.
Solution Design: Designing secure, scalable, and future-ready architectures can be complex, as it requires a broad understanding of customer requirements and technical constraints.
Customer Engagement: Engaging with customers and influencing technical decisions can be challenging, as it requires strong communication and presentation skills, as well as a deep understanding of Microsoft's AI-powered developer stack.

Learning & Development Opportunities:

AI Integration: Working with Microsoft's AI platform will provide opportunities to develop expertise in AI integration and machine learning services.
Solution Design: Working with customers to design secure, scalable, and future-ready architectures will provide opportunities to develop expertise in solution design and architecture best practices.
Technical Mentorship: Working with Microsoft's experienced engineering and product teams will provide opportunities to learn from technical mentors and develop leadership skills.

📝 Enhancement Note: Microsoft's large size and diverse teams provide numerous opportunities for learning and development. The company is committed to empowering employees to achieve more and offers a range of training and development programs to support this.

💡 Interview Preparation

Technical Questions:

AI Integration: Be prepared to discuss your experience with AI integration and how you have helped customers drive AI adoption in their development workflows.
Solution Design: Be prepared to discuss your approach to solution design and architecture, and how you have designed secure, scalable, and future-ready architectures for customers.
Customer Engagement: Be prepared to discuss your technical sales skills and how you have influenced technical decisions within customer organizations.

Company & Culture Questions:

Microsoft's AI-Powered Developer Stack: Be prepared to discuss your understanding of Microsoft's AI-powered developer stack and how you have helped customers adopt these innovations.
Microsoft's Development Methodologies: Be prepared to discuss your experience with Agile development methodologies and how you have used them to drive customer success.
Microsoft's Customer Obsessed Culture: Be prepared to discuss your understanding of Microsoft's customer-obsessed culture and how you have used it to drive customer engagement and satisfaction.

Portfolio Presentation Strategy:

Customer Success Stories: Highlight your experience with customer success stories, demonstrating your ability to drive AI adoption and influence technical decisions within customer organizations.
Solution Design Case Studies: Present case studies of your solution design and architecture work, demonstrating your ability to design secure, scalable, and future-ready architectures for customers.
Technical Deep Dive: Prepare a deep dive into a technical aspect of your portfolio, demonstrating your expertise in a specific area of application development or AI integration.

📝 Enhancement Note: Microsoft's interview process is designed to be comprehensive and challenging, with a focus on assessing your technical skills and cultural fit for the role and the team.

📌 Application Steps

To apply for this Cloud & AI Solution Engineer position at Microsoft:

Customize Your Resume: Highlight your experience with application development, AI integration, and technical sales. Include specific examples of your solution design and architecture work, as well as customer success stories that demonstrate your ability to drive AI adoption and influence technical decisions.
Tailor Your Cover Letter: Explain your interest in Microsoft's AI-powered developer stack and how your skills and experience make you a strong fit for the role. Highlight your passion for empowering enterprise developers to build intelligent applications.
Prepare for Technical Assessment: Brush up on your application development and AI integration skills, with a focus on Microsoft's technology stack (GitHub, Visual Studio, Azure AI). Familiarize yourself with solution design principles and architecture best practices.
Research Microsoft: Learn about Microsoft's mission, values, and culture. Understand Microsoft's approach to AI integration and how the company is empowering every person and every organization on the planet to achieve more.

⚠️ 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 & AI Solution Engineer - Software, Development Tools and AI