📍 Job Overview

Job Title: Cloud & AI Solution Engineer – Azure Platform
Company: Microsoft
Location: Oslo, Norway
Job Type: Full-Time
Category: Cloud & AI Solution Engineer
Date Posted: June 20, 2025
Experience Level: Mid-Senior level (5-10 years)
Remote Status: On-site

🚀 Role Summary

📝 Enhancement Note: As a Cloud & AI Solution Engineer focused on the Azure Platform, you will play a key role in helping commercial customers modernize their infrastructure and unlock the full value of Microsoft's cloud. This role combines technical expertise in cloud architecture, AI solutions, and Azure platform services to drive meaningful business outcomes for customers.

💻 Primary Responsibilities

📝 Enhancement Note: In this technical sales role, you will help customers design secure, scalable, and resilient cloud architectures that support their modernization goals. Using Azure's IaaS and PaaS services, you will guide organizations through migration, modernization, optimization, and innovation, translating technical capabilities into significant business outcomes.

🎓 Skills & Qualifications

Education

📝 Enhancement Note: A bachelor's degree in Computer Science, Engineering, or a related field is typically required for this role. However, relevant work experience and a strong portfolio can sometimes substitute for formal education.

Experience

📝 Enhancement Note: Proven experience (5-10 years) in cloud architecture, infrastructure migration, and AI solutions is essential for this role. Experience working with commercial customers and a deep understanding of Azure platform services are strong pluses.

Required Skills

📝 Enhancement Note: Proficiency in cloud architecture, AI solutions, and Azure platform services is crucial. Strong networking knowledge, experience with core workload migrations (Windows, SQL Server, Linux, PostgreSQL, Oracle), and a solid understanding of Azure security services and compliance frameworks are also required.
Cloud Architecture
AI Solutions
Azure Platform
IaaS (Infrastructure as a Service)
PaaS (Platform as a Service)
Migration
Modernization
Optimization
Networking
Security
Compliance
Containerization
Hybrid Solutions
SQL Server
Linux
PostgreSQL
Oracle

Preferred Skills

📝 Enhancement Note: Experience with trusted partner solutions like NetApp, VMware, RedHat, and SAP is a plus. Familiarity with AI-powered infrastructure and intelligent agents is also valuable.
Trusted Partner Solutions (NetApp, VMware, RedHat, SAP)
AI-Powered Infrastructure
Intelligent Agents

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

📝 Enhancement Note: A strong portfolio demonstrating your cloud architecture projects, AI solutions, and Azure migrations is crucial. Include case studies highlighting your ability to drive business outcomes and meet customer needs.
Cloud Architecture Projects
AI Solutions
Azure Migrations
Business Outcome-Driven Case Studies

Technical Documentation:

📝 Enhancement Note: Prepare technical documentation showcasing your expertise in cloud architecture, AI solutions, and Azure platform services. Include your approach to migration, modernization, and optimization, as well as your understanding of security and compliance.
Cloud Architecture Approach
AI Solutions Approach
Azure Platform Services Expertise
Migration, Modernization, and Optimization Strategies
Security and Compliance Understanding

💵 Compensation & Benefits

Salary Range: The average salary for a Cloud & AI Solution Engineer in Oslo, Norway, is around 700,000 NOK (Norwegian Krone) per year, or approximately 58,333 NOK per month. This range can vary based on experience, skills, and the specific company.

Benefits:

📝 Enhancement Note: Microsoft offers a comprehensive benefits package, including health insurance, retirement plans, and employee stock purchase plans. They also provide opportunities for professional development and growth, such as access to Microsoft learning resources and support for earning industry-recognized certifications.
Health Insurance
Retirement Plans
Employee Stock Purchase Plans
Professional Development Opportunities
Industry-Recognized Certifications

Working Hours: Full-time employees typically work 40 hours per week, with some flexibility for project deadlines and maintenance windows.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, with a focus on cloud computing, productivity, and business processes. As a Cloud & AI Solution Engineer, you will work closely with commercial customers to help them leverage Microsoft's cloud offerings to drive business outcomes.

Company Size: Microsoft is a large corporation with over 180,000 employees worldwide. As an employee, you will have the opportunity to work with a diverse team and collaborate with colleagues across various departments and locations.

Founded: Microsoft was founded in 1975 by Bill Gates and Paul Allen. The company has since grown to become a global leader in the technology industry, with a strong commitment to innovation and empowering every person and every organization on the planet to achieve more.

Team Structure:

📝 Enhancement Note: As a Cloud & AI Solution Engineer, you will work closely with technical and business stakeholders within Microsoft and its customers. You will collaborate with cross-functional teams, including sales, marketing, and product development, to deliver impactful solutions that meet customer needs.
Technical Stakeholders (Microsoft & Customers)
Business Stakeholders (Microsoft & Customers)
Cross-Functional Teams (Sales, Marketing, Product Development)

Development Methodology:

📝 Enhancement Note: Microsoft follows Agile methodologies for software development and project management. As a Cloud & AI Solution Engineer, you will work closely with customers to understand their needs and develop tailored solutions that meet their unique requirements.
Agile Methodologies
Tailored Solutions
Customer-Centric Approach

Company Website: Microsoft

📈 Career & Growth Analysis

Web Technology Career Level: As a Cloud & AI Solution Engineer focused on the Azure Platform, you will work at the senior level, providing strategic guidance to customers and driving business outcomes through cloud architecture and AI solutions.

Reporting Structure: In this role, you will report directly to the Cloud & AI Solution Engineering manager. You will work closely with technical and business stakeholders within Microsoft and its customers to deliver impactful solutions that meet customer needs.

Technical Impact: As a Cloud & AI Solution Engineer, you will have a significant impact on customer infrastructure, driving migration, modernization, optimization, and innovation. You will help customers build secure, scalable, and resilient cloud architectures that support their modernization goals and unlock the full value of Microsoft's cloud.

Growth Opportunities:

📝 Enhancement Note: Microsoft offers opportunities for professional development and growth, including access to Microsoft learning resources and support for earning industry-recognized certifications. As a Cloud & AI Solution Engineer, you may have the opportunity to progress into roles such as Senior Cloud & AI Solution Engineer, Principal Cloud & AI Solution Engineer, or even transition into a management or leadership role.
Professional Development Opportunities
Industry-Recognized Certifications
Progression to Senior or Principal Roles
Transition to Management or Leadership Roles

🌐 Work Environment

Office Type: Microsoft's Oslo office is a modern, collaborative workspace designed to foster innovation and creativity. As a Cloud & AI Solution Engineer, you will work in an open-plan office with colleagues from various departments and teams.

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

Workspace Context:

📝 Enhancement Note: As a Cloud & AI Solution Engineer, you will have access to state-of-the-art development tools, multiple monitors, and testing devices to support your work. You will also have the opportunity to collaborate with colleagues across various teams and disciplines, fostering a culture of knowledge sharing and continuous learning.
State-of-the-Art Development Tools
Multiple Monitors
Testing Devices
Cross-Functional Collaboration
Knowledge Sharing and Continuous Learning

Work Schedule: Full-time employees typically work 40 hours per week, with some flexibility for project deadlines and maintenance windows. Microsoft offers a flexible work arrangement, allowing employees to work from home or remotely as needed.

📄 Application & Technical Interview Process

Interview Process:

📝 Enhancement Note: The interview process for this role will likely include a combination of technical assessments, case studies, and behavioral interviews. You will be evaluated on your technical expertise, problem-solving skills, and ability to work collaboratively with customers and colleagues.
Technical Assessments
Case Studies
Behavioral Interviews
Technical Expertise Evaluation
Problem-Solving Skills Assessment
Collaborative Working Ability Evaluation

Portfolio Review Tips:

📝 Enhancement Note: When preparing your portfolio for this role, focus on demonstrating your expertise in cloud architecture, AI solutions, and Azure platform services. Include case studies highlighting your ability to drive business outcomes and meet customer needs, and be prepared to discuss your approach to migration, modernization, and optimization.
Cloud Architecture Expertise Demonstration
AI Solutions Expertise Demonstration
Azure Platform Services Expertise Demonstration
Business Outcome-Driven Case Studies
Approach to Migration, Modernization, and Optimization Discussion

Technical Challenge Preparation:

📝 Enhancement Note: When preparing for technical challenges, focus on honing your problem-solving skills and your ability to work collaboratively with others. Familiarize yourself with Azure platform services, cloud architecture best practices, and AI solutions, and be prepared to discuss your approach to designing secure, scalable, and resilient cloud architectures.
Problem-Solving Skills Development
Collaborative Working Skills Development
Azure Platform Services Familiarization
Cloud Architecture Best Practices Familiarization
AI Solutions Familiarization
Approach to Cloud Architecture Design Discussion

ATS Keywords:

📝 Enhancement Note: When optimizing your resume for this role, focus on including relevant keywords related to cloud architecture, AI solutions, and Azure platform services. This will help ensure that your application is noticed by Microsoft's Applicant Tracking System (ATS) and increases your chances of being selected for an interview.
Cloud Architecture Keywords
AI Solutions Keywords
Azure Platform Services Keywords

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

📝 Enhancement Note: As a Cloud & AI Solution Engineer focused on the Azure Platform, you will work extensively with Microsoft Azure. Familiarize yourself with Azure's IaaS and PaaS services, as well as its AI and machine learning offerings.
Microsoft Azure
Azure IaaS Services
Azure PaaS Services
Azure AI and Machine Learning Offerings

Infrastructure as a Service (IaaS) Services:

📝 Enhancement Note: Familiarize yourself with Azure's IaaS services, including virtual machines, storage, and networking. These services form the foundation of many cloud architectures and are essential for migrating and modernizing customer workloads.
Azure Virtual Machines
Azure Storage
Azure Networking

Platform as a Service (PaaS) Services:

📝 Enhancement Note: Familiarize yourself with Azure's PaaS services, including App Service, Azure Functions, and Azure Kubernetes Service (AKS). These services enable customers to build, deploy, and scale applications quickly and efficiently.
Azure App Service
Azure Functions
Azure Kubernetes Service (AKS)

AI and Machine Learning Services:

📝 Enhancement Note: Familiarize yourself with Azure's AI and machine learning offerings, including Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service. These services enable customers to build intelligent applications and integrate AI capabilities into their existing systems.
Azure Machine Learning
Azure Cognitive Services
Azure Bot Service

Containerization and Orchestration:

📝 Enhancement Note: Familiarize yourself with containerization best practices and orchestration tools like Kubernetes. As a Cloud & AI Solution Engineer, you may need to help customers containerize their applications and deploy them using Azure Kubernetes Service (AKS).
Containerization Best Practices
Kubernetes
Azure Kubernetes Service (AKS)

Security and Compliance:

📝 Enhancement Note: Familiarize yourself with Azure's security services and compliance frameworks. As a Cloud & AI Solution Engineer, you will need to help customers design secure, compliant cloud architectures that meet their regulatory requirements.
Azure Security Services
Compliance Frameworks

Trusted Partner Solutions:

📝 Enhancement Note: Familiarize yourself with Microsoft's trusted partner solutions, including NetApp, VMware, RedHat, and SAP. As a Cloud & AI Solution Engineer, you may need to integrate these solutions into customer architectures to ensure a secure, optimized, and scalable migration experience.
NetApp
VMware
RedHat
SAP

👥 Team Culture & Values

Microsoft's Core Values:

📝 Enhancement Note: Microsoft's core values include respect, integrity, and accountability. As a Cloud & AI Solution Engineer, you will be expected to embody these values in your work and interactions with customers and colleagues.
Respect
Integrity
Accountability

Microsoft's Approach to Diversity, Equity, and Inclusion:

📝 Enhancement Note: Microsoft is committed to fostering a diverse, inclusive, and equitable work environment. As a Cloud & AI Solution Engineer, you will have the opportunity to work with a diverse team and contribute to Microsoft's efforts to create a more inclusive and equitable world.
Diversity
Inclusion
Equity

Microsoft's Approach to Sustainability:

📝 Enhancement Note: Microsoft is committed to sustainability and has set ambitious goals to reduce its environmental impact and create a more sustainable future. As a Cloud & AI Solution Engineer, you may have the opportunity to contribute to Microsoft's sustainability efforts by helping customers build more efficient and sustainable cloud architectures.
Sustainability
Environmental Impact Reduction
Sustainable Cloud Architectures

⚡ Challenges & Growth Opportunities

Technical Challenges:

📝 Enhancement Note: As a Cloud & AI Solution Engineer, you will face technical challenges related to cloud architecture, AI solutions, and Azure platform services. Some of these challenges may include:
Designing secure, scalable, and resilient cloud architectures
Migrating and modernizing customer workloads using the 6R strategy and containerization best practices
Integrating AI and intelligent agents into customer systems
Ensuring compliance with regulatory requirements and industry standards
Collaborating with customers and colleagues to deliver impactful solutions that meet business needs

Learning & Development Opportunities:

📝 Enhancement Note: Microsoft offers numerous learning and development opportunities for its employees, including access to Microsoft learning resources, support for earning industry-recognized certifications, and opportunities to work on cutting-edge projects. As a Cloud & AI Solution Engineer, you will have the opportunity to grow your technical expertise and advance your career within Microsoft.
Microsoft Learning Resources
Industry-Recognized Certifications
Cutting-Edge Projects
Career Advancement Opportunities

💡 Interview Preparation

Technical Questions:

📝 Enhancement Note: When preparing for technical questions related to this role, focus on honing your problem-solving skills and your ability to work collaboratively with others. Familiarize yourself with Azure platform services, cloud architecture best practices, and AI solutions, and be prepared to discuss your approach to designing secure, scalable, and resilient cloud architectures.
Problem-Solving Skills Development
Collaborative Working Skills Development
Azure Platform Services Familiarization
Cloud Architecture Best Practices Familiarization
AI Solutions Familiarization
Approach to Cloud Architecture Design Discussion

Company & Culture Questions:

📝 Enhancement Note: When preparing for company and culture questions related to this role, research Microsoft's mission, values, and approach to diversity, equity, and inclusion. Be prepared to discuss how your personal values and career goals align with Microsoft's and how you can contribute to the company's success.
Microsoft's Mission and Values Research
Personal Values and Career Goals Alignment
Contribution to Company Success Discussion

Portfolio Presentation Strategy:

📝 Enhancement Note: When preparing your portfolio for this role, focus on demonstrating your expertise in cloud architecture, AI solutions, and Azure platform services. Include case studies highlighting your ability to drive business outcomes and meet customer needs, and be prepared to discuss your approach to migration, modernization, and optimization.
Cloud Architecture Expertise Demonstration
AI Solutions Expertise Demonstration
Azure Platform Services Expertise Demonstration
Business Outcome-Driven Case Studies
Approach to Migration, Modernization, and Optimization Discussion

📌 Application Steps

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

Submit your application through the application link provided in the job listing.
Customize your resume and portfolio to highlight your expertise in cloud architecture, AI solutions, and Azure platform services. Include relevant keywords and case studies that demonstrate your ability to drive business outcomes and meet customer needs.
Prepare for technical interviews by honing your problem-solving skills and familiarizing yourself with Azure platform services, cloud architecture best practices, and AI solutions. Be prepared to discuss your approach to designing secure, scalable, and resilient cloud architectures.
Research Microsoft's mission, values, and approach to diversity, equity, and inclusion. Prepare for company and culture questions by discussing how your personal values and career goals align with Microsoft's and how you can contribute to the company's success.
Review the technology stack and web infrastructure requirements for this role, and ensure that your skills and experience align with Microsoft's needs.

📝 Enhancement Note: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with Microsoft before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to cloud architecture, AI solutions, and Azure platform services
Include Azure IaaS and PaaS services, as well as Azure AI and machine learning offerings
Emphasize migration, modernization, optimization, and innovation using the 6R strategy and containerization best practices
Address security, compliance, and trusted partner solutions like NetApp, VMware, RedHat, and SAP
Highlight Microsoft's commitment to sustainability and creating a more sustainable future

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information
Only include Enhancement Notes when making significant inferences about cloud architecture, AI solutions, or Azure platform services
Be comprehensive but concise, prioritizing actionable information over descriptive text
Strategically distribute cloud architecture, AI solutions, and Azure platform services keywords throughout all sections naturally
Provide realistic salary ranges based on location, experience level, and cloud architecture and AI solutions specialization

Industry Expertise:

Include specific cloud architecture, AI solutions, and Azure platform services relevant to the role
Address cloud architecture career progression paths and technical leadership opportunities in cloud teams
Provide tactical advice for cloud architecture portfolio development, live demonstrations, and project case studies
Include cloud architecture-specific interview preparation and coding challenge guidance
Emphasize cloud architecture best practices, security, compliance, and trusted partner solutions

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout
Use cloud architecture, AI solutions, and Azure platform services terminology appropriately and accurately
Include comprehensive benefits and growth opportunities relevant to cloud architecture professionals
Provide actionable insights that give cloud architecture candidates a competitive advantage
Focus on cloud architecture team culture, cross-functional collaboration, and customer impact measurement

Technical Focus & Portfolio Emphasis:

Emphasize cloud architecture best practices, AI solutions, and Azure platform services
Include specific portfolio requirements tailored to the cloud architecture discipline and role level
Address cloud architecture security, compliance, and trusted partner solutions
Focus on problem-solving methods, performance optimization, and scalable cloud architecture
Include technical presentation skills and stakeholder communication for cloud projects

Avoid:

Generic business jargon not relevant to cloud architecture, AI solutions, or Azure platform services
Placeholder text or incomplete sections
Repetitive content across different sections
Non-technical terminology unless relevant to the specific cloud architecture role
Marketing language unrelated to cloud architecture, AI solutions, or Azure platform services

Generate comprehensive, cloud architecture-focused content that serves as a valuable resource for cloud architecture professionals seeking their next opportunity and preparing for technical interviews in the cloud architecture industry.

Cloud & AI Solution Engineer – Azure Platform