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: Copenhagen, Capital Region of Denmark, Denmark
Job Type: Full-Time
Category: Solution Engineer - Cloud & AI
Date Posted: 2025-07-22

🚀 Role Summary

AI-driven Developer Experience: Revolutionize enterprise software development by embedding AI across the lifecycle using GitHub, Visual Studio, and Azure AI.
Trusted Technical Advisor: Guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI integration into development workflows.
Cross-functional Collaboration: Work directly with engineering leaders and platform teams to accelerate Microsoft's developer platform through hands-on engagements.
Customer-centric Focus: Help customers boost productivity, modernize their SDLC, and realize the full value of Microsoft's developer platform.

📝 Enhancement Note: This role is ideal for experienced software professionals passionate about AI integration and eager to drive innovation in enterprise development.

💻 Primary Responsibilities

Solution Design & Architecture: Design and implement secure, scalable solutions that meet customers' unique needs, leveraging Microsoft's AI-powered developer stack.
Customer Engagement: Build strong relationships with customers, understanding their challenges, and providing tailored solutions to drive their success.
Technical Workshops & POCs: Lead workshops, hackathons, and proof-of-concept projects to demonstrate the value of Microsoft's AI-powered developer tools and accelerate customer adoption.
Collaboration & Influence: Work cross-functionally with engineering teams to gather feedback, inform product development, and drive customer success.
Thought Leadership: Stay current with industry trends and emerging technologies, sharing insights and best practices with customers and internal teams.

📝 Enhancement Note: This role requires a balance of technical depth and breadth, with a strong focus on customer-centric problem-solving and collaboration.

🎓 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: Proven experience (2-5 years) in software development, solution architecture, or a similar role, with a strong focus on AI integration and modern development practices.

Required Skills:

Proficiency in one or more modern programming languages (e.g., Python, Java, C#)
Experience with cloud platforms (e.g., Azure, AWS, GCP)
Strong understanding of AI and machine learning concepts
Excellent communication and presentation skills
Proven ability to influence technical decisions and drive customer success
Experience with GitHub, Visual Studio, and Azure AI is a plus

Preferred Skills:

Familiarity with DevSecOps practices and tools
Experience with containerization (e.g., Docker, Kubernetes) and microservices architectures
Knowledge of Agile development methodologies
Background in customer-facing roles or technical sales

📝 Enhancement Note: Candidates with a strong foundation in software development and a demonstrated ability to learn and apply new technologies quickly will excel in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Solution Design: Include examples of secure, scalable solutions you've designed and implemented, highlighting your approach to problem-solving and architecture.
Customer Success: Showcase projects where you've driven customer success through tailored solutions and strong relationships.
AI Integration: Demonstrate your ability to integrate AI into development workflows, with examples of AI-driven projects or tools you've developed or used.

Technical Documentation:

Solution Architecture: Provide detailed documentation of your solution architecture, including design patterns, data flows, and security considerations.
Customer Engagement: Share customer engagement plans, including strategies for building relationships, understanding needs, and driving success.
AI Integration: Document your approach to AI integration, including the AI models and tools used, and the impact on development processes and outcomes.

📝 Enhancement Note: A strong portfolio for this role will emphasize customer-centric problem-solving, technical depth, and a clear understanding of AI's role in modern software development.

💵 Compensation & Benefits

Salary Range: DKK 600,000 - 800,000 per year (based on experience and market research)

Benefits:

Competitive healthcare and retirement plans
Generous time off and flexible work arrangements
Employee stock purchase plan and performance-based bonuses
Learning and development opportunities, including access to Microsoft's extensive training resources

Working Hours: Full-time position with standard working hours, plus additional time as needed to support customer projects and events.

📝 Enhancement Note: Salary range is estimated based on market research and regional adjustments for software engineering roles in Denmark.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, with a strong focus on software development, AI, and cloud computing. This role will be at the intersection of these areas, driving innovation in enterprise software development.

Company Size: Microsoft is a large, multinational corporation with a diverse range of products and services. This role will provide ample opportunities for collaboration and growth within a large, established organization.

Founded: 1975, in Albuquerque, New Mexico, USA. Microsoft has since grown to become a global leader in technology, with a strong commitment to innovation and continuous learning.

Team Structure:

Cloud & AI Team: This role will be part of the Cloud & AI team, working closely with engineering leaders and platform teams to drive customer success.
Cross-functional Collaboration: The role will involve close collaboration with various teams, including product, marketing, and sales, to gather feedback, inform product development, and drive customer success.

Development Methodology:

Agile: Microsoft uses Agile methodologies to drive innovation and customer success. This role will require a strong understanding of Agile principles and the ability to apply them in a customer-centric context.
Customer-centric: The role will be deeply focused on understanding customer needs and driving success through tailored solutions and strong relationships.

Company Website: microsoft.com

📝 Enhancement Note: Microsoft's culture is driven by a growth mindset, empowering employees to learn, grow, and collaborate to achieve more. This role will provide ample opportunities to embrace this culture and drive customer success.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior individual contributor level, with significant responsibility for driving customer success and influencing technical decisions. It provides an excellent opportunity for growth and leadership development.

Reporting Structure: This role reports directly to the Cloud & AI team lead, with close collaboration with engineering leaders and platform teams. It is well-positioned for growth and influence within the organization.

Technical Impact: This role has a significant impact on Microsoft's developer platform and customer success. It drives the adoption of AI-powered developer tools, shapes the future of software engineering, and empowers enterprise developers to achieve more.

Growth Opportunities:

Technical Leadership: This role provides ample opportunities for technical leadership, driving customer success and influencing technical decisions.
Product Development: The role involves close collaboration with product teams, providing opportunities to shape the future of Microsoft's developer platform.
Customer Success: The role is deeply focused on customer success, providing opportunities to build strong relationships, drive customer satisfaction, and grow within the organization.

📝 Enhancement Note: This role offers significant growth opportunities for experienced software professionals eager to drive innovation in enterprise development and customer success.

🌐 Work Environment

Office Type: Microsoft's Copenhagen office is a modern, collaborative workspace designed to foster innovation and cross-functional collaboration. The office features open-plan workspaces, meeting rooms, and breakout areas, as well as access to Microsoft's extensive suite of collaboration tools.

Office Location(s): Copenhagen, Capital Region of Denmark, Denmark

Workspace Context:

Collaboration: The role involves close collaboration with various teams, including engineering, product, marketing, and sales. The workspace is designed to facilitate this collaboration and knowledge sharing.
Flexibility: The role offers flexible work arrangements, including remote work and flexible hours, to support a healthy work-life balance.
Technology: The workspace is equipped with state-of-the-art technology, including high-speed internet, multiple monitors, and access to Microsoft's extensive suite of collaboration and productivity tools.

Work Schedule: Full-time position with standard working hours, plus additional time as needed to support customer projects and events. The role offers flexible work arrangements, including remote work and flexible hours, to support a healthy work-life balance.

📝 Enhancement Note: Microsoft's work environment is designed to foster collaboration, innovation, and continuous learning, providing an ideal setting for this customer-centric, technically challenging role.

📄 Application & Technical Interview Process

Interview Process:

Technical Phone Screen: A 30-minute phone or video call to assess your technical skills and understanding of AI and cloud technologies.
Customer-centric Case Study: A 60-minute case study presentation, where you'll demonstrate your ability to understand customer needs and design tailored solutions using Microsoft's AI-powered developer stack.
Technical Deep Dive: A 60-minute technical deep dive, where you'll discuss your approach to AI integration, solution architecture, and customer success.
Final Interview: A 30-minute interview with the hiring manager to discuss your fit for the role, career aspirations, and next steps.

Portfolio Review Tips:

Solution Design: Highlight your approach to secure, scalable solution design, with a focus on customer-centric problem-solving and AI integration.
Customer Success: Showcase your ability to build strong relationships and drive customer success through tailored solutions and strong communication.
AI Integration: Demonstrate your technical depth and understanding of AI, with examples of AI-driven projects or tools you've developed or used.

Technical Challenge Preparation:

Solution Architecture: Brush up on your solution architecture skills, with a focus on secure, scalable designs that meet customer needs.
AI Integration: Review your understanding of AI and machine learning concepts, with a focus on their application in software development.
Customer-centric Problem-solving: Practice your customer-centric problem-solving skills, with a focus on understanding customer needs and driving success through tailored solutions.

ATS Keywords: (Organized by category)

Programming Languages: Python, Java, C#, JavaScript, TypeScript
Cloud Platforms: Azure, AWS, GCP
AI & Machine Learning: AI, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision
Developer Tools: GitHub, Visual Studio, Azure AI, Git, Docker, Kubernetes
Methodologies: Agile, Scrum, DevSecOps, Customer-centric
Soft Skills: Communication, Presentation, Collaboration, Influence, Problem-solving
Industry Terms: Enterprise Solutions, Software Development Lifecycle, Developer Experience, AI-native

📝 Enhancement Note: The interview process for this role is designed to assess your technical depth, customer-centric problem-solving skills, and ability to drive customer success through tailored solutions and strong relationships.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: (Not applicable for this role, as it is primarily focused on backend and infrastructure)

Backend & Server Technologies:

Cloud Platforms: Azure (Primary), AWS, GCP
Programming Languages: Python, Java, C#, JavaScript, TypeScript
AI & Machine Learning: Azure AI, TensorFlow, PyTorch, scikit-learn
Databases: SQL Server, Azure Cosmos DB, MongoDB, PostgreSQL
Server Infrastructure: Azure Kubernetes Service, Azure App Service, Azure Functions

Development & DevOps Tools:

Version Control: Git, GitHub
CI/CD: Azure Pipelines, Jenkins
Containerization: Docker, Kubernetes
Monitoring & Logging: Application Insights, Log Analytics, Prometheus, Grafana
Infrastructure as Code: Terraform, Bicep

📝 Enhancement Note: This role requires a strong understanding of cloud platforms, AI and machine learning, and modern development and DevOps tools. Familiarity with Microsoft's Azure platform is a plus.

👥 Team Culture & Values

Web Development Values:

Customer-centric: Microsoft is deeply committed to understanding customer needs and driving success through tailored solutions.
Innovation: Microsoft encourages continuous learning and innovation, with a strong focus on driving the future of software engineering.
Collaboration: Microsoft fosters a culture of collaboration and knowledge sharing, with a strong emphasis on cross-functional teamwork.
Integrity: Microsoft values integrity and accountability, with a strong commitment to ethical business practices and customer success.

Collaboration Style:

Cross-functional: The role involves close collaboration with various teams, including engineering, product, marketing, and sales, to gather feedback, inform product development, and drive customer success.
Customer-centric: The role is deeply focused on understanding customer needs and driving success through tailored solutions and strong relationships.
Agile: Microsoft uses Agile methodologies to drive innovation and customer success. The role will require a strong understanding of Agile principles and the ability to apply them in a customer-centric context.

📝 Enhancement Note: Microsoft's culture is driven by a growth mindset, empowering employees to learn, grow, and collaborate to achieve more. This role provides ample opportunities to embrace this culture and drive customer success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Integration: Stay current with emerging AI technologies and their application in software development.
Customer-centric Problem-solving: Continuously improve your ability to understand customer needs and drive success through tailored solutions.
Solution Architecture: Design and implement secure, scalable solutions that meet customer needs and drive business value.
Cross-functional Collaboration: Build strong relationships with various teams, including engineering, product, marketing, and sales, to gather feedback, inform product development, and drive customer success.

Learning & Development Opportunities:

AI & Machine Learning: Stay current with emerging AI and machine learning technologies and their application in software development.
Cloud Computing: Deepen your understanding of cloud computing and its application in enterprise software development.
Customer-centric Problem-solving: Continuously improve your ability to understand customer needs and drive success through tailored solutions.
Leadership Development: Develop your leadership skills through technical influence, customer success, and cross-functional collaboration.

📝 Enhancement Note: This role offers significant technical challenges and growth opportunities for experienced software professionals eager to drive innovation in enterprise development and customer success.

💡 Interview Preparation

Technical Questions:

AI Integration: Be prepared to discuss your approach to AI integration, with a focus on its application in software development and customer success.
Solution Architecture: Brush up on your solution architecture skills, with a focus on secure, scalable designs that meet customer needs.
Customer-centric Problem-solving: Practice your customer-centric problem-solving skills, with a focus on understanding customer needs and driving success through tailored solutions.

Company & Culture Questions:

Microsoft's Developer Platform: Be prepared to discuss your understanding of Microsoft's developer platform, including GitHub, Visual Studio, and Azure AI.
Customer-centric Culture: Demonstrate your understanding of Microsoft's customer-centric culture and your ability to drive customer success through tailored solutions and strong relationships.
Innovation: Showcase your passion for innovation and continuous learning, with a focus on driving the future of software engineering.

Portfolio Presentation Strategy:

Solution Design: Highlight your approach to secure, scalable solution design, with a focus on customer-centric problem-solving and AI integration.
Customer Success: Showcase your ability to build strong relationships and drive customer success through tailored solutions and strong communication.
AI Integration: Demonstrate your technical depth and understanding of AI, with examples of AI-driven projects or tools you've developed or used.

📝 Enhancement Note: The interview process for this role is designed to assess your technical depth, customer-centric problem-solving skills, and ability to drive customer success through tailored solutions and strong relationships.

📌 Application Steps

To apply for this Cloud & AI Solution Engineer - Software, Development Tools and AI position:

Customize Your Portfolio: Tailor your portfolio to highlight your approach to secure, scalable solution design, customer-centric problem-solving, and AI integration.
Optimize Your Resume: Highlight your technical depth, customer-centric problem-solving skills, and ability to drive customer success through tailored solutions and strong relationships.
Prepare for Technical Challenges: Brush up on your solution architecture skills, AI integration, and customer-centric problem-solving skills.
Research Microsoft: Understand Microsoft's developer platform, customer-centric culture, and commitment to innovation and continuous learning.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology 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