📍 Job Overview

Job Title: Cloud & AI Solution Engineer – AI Applications
Company: Microsoft
Location: Copenhagen, Capital Region of Denmark, Denmark
Job Type: Full-Time
Category: Solution Engineer
Date Posted: 2025-07-21
Experience Level: Mid-Senior level (2-5 years)
Remote Status: On-site (Remote OK)

🚀 Role Summary

Drive AI Applications Innovation: Collaborate with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops.
Guide Customers through Secure, Scalable Solution Design: Influence technical decisions, guide customers through secure, scalable solution design, and help them modernize their applications leveraging Microsoft's AI platform.
Accelerate AI Applications Development: Help customers boost productivity and become AI-native by integrating AI into their development workflows and realizing the full value of Microsoft's AI platform.
Enjoy Flexible Work Opportunities: Benefit from flexible work arrangements while working closely with customers to unlock the potential of Microsoft's AI-powered stack.

📝 Enhancement Note: This role focuses on driving AI applications innovation and helping customers modernize their applications using Microsoft's AI platform. It requires a strong technical background in AI applications and solution design, as well as excellent communication and collaboration skills.

💻 Primary Responsibilities

Collaborate with Engineering Teams: Work closely with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI through hands-on engagements.
Guide Customers through Solution Design: Influence technical decisions, guide customers through secure, scalable solution design, and help them modernize their applications using Microsoft's AI platform.
Accelerate AI Applications Development: Help customers boost productivity and become AI-native by integrating AI into their development workflows and realizing the full value of Microsoft's AI platform.
Build Strong Customer Relationships: Establish trust and rapport with customers, understanding their needs and providing tailored solutions to drive their success with Microsoft's AI platform.
Stay Current with AI Trends: Keep up-to-date with the latest AI trends and technologies, and continuously learn and adapt to new tools and methodologies.

📝 Enhancement Note: This role requires a strong technical background in AI applications and solution design, as well as excellent communication and collaboration skills. The ability to build strong customer relationships and stay current with AI trends is crucial for success in this role.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. A Master's degree would be an asset.

Experience: 2-5 years of experience in AI applications development, solution design, or a related field. Experience working with enterprise customers is a plus.

Required Skills:

Proven expertise in AI applications development and solution design.
Strong knowledge of Microsoft's AI platform, including AI Foundry and Azure AI.
Excellent communication and collaboration skills, with the ability to influence technical decisions.
Strong problem-solving skills and the ability to think critically about complex challenges.
Experience working with enterprise customers and understanding their needs.
Familiarity with architecture workshops, Proof of Concepts, and hackathons.
Proficiency in one or more programming languages relevant to AI applications development.

Preferred Skills:

Experience with Responsible AI and ethical AI development practices.
Familiarity with Agile methodologies and collaborative development environments.
Experience with customer engagement and account management.
Strong presentation and public speaking skills.
Fluency in multiple languages, with English as a minimum requirement.

📝 Enhancement Note: This role requires a strong technical background in AI applications and solution design, as well as excellent communication and collaboration skills. Experience working with enterprise customers and understanding their needs is crucial for success in this role. Familiarity with Microsoft's AI platform and Responsible AI practices is a significant asset.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

AI Applications Projects: Showcase your experience in AI applications development by including relevant projects in your portfolio. Highlight the technologies used, the challenges faced, and the solutions implemented.
Solution Design Case Studies: Demonstrate your solution design skills by including case studies that illustrate your ability to guide customers through secure, scalable solution design. Include any architecture workshops, Proof of Concepts, or hackathons you've participated in.
Customer Success Stories: Include any customer success stories that highlight your ability to help customers modernize their applications using Microsoft's AI platform. Include metrics and performance improvements where possible.

Technical Documentation:

Code Quality and Documentation: Ensure your code is well-documented and follows best practices for code quality. Include any relevant code snippets or examples in your portfolio.
Solution Design Documentation: Include any solution design documentation, such as architecture diagrams or technical specifications, that demonstrate your ability to guide customers through secure, scalable solution design.
Customer Engagement Documentation: Include any customer engagement documentation, such as meeting notes or action plans, that demonstrate your ability to build strong customer relationships and drive their success with Microsoft's AI platform.

📝 Enhancement Note: This role requires a strong technical portfolio that demonstrates your experience in AI applications development and solution design. Include relevant projects, case studies, and technical documentation that highlight your ability to guide customers through secure, scalable solution design and help them modernize their applications using Microsoft's AI platform.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be DKK 550,000 - 750,000 per year (approximately EUR 73,000 - 100,000), based on market research and regional adjustments for Denmark. This estimate takes into account the mid-senior level experience required for this role and the value Microsoft places on AI applications expertise.

Benefits:

Health and Wellness: Comprehensive health and wellness benefits, including medical, dental, and vision coverage.
Retirement Savings: Competitive retirement savings plans, with company matching contributions.
Time Off: Generous time off policies, including vacation, sick leave, and paid holidays.
Professional Development: Opportunities for professional development, including training, conferences, and certifications.
Work-Life Balance: Flexible work arrangements, including remote work options and flexible scheduling.

Working Hours: The standard workweek is 40 hours, with flexible scheduling and remote work options available. Some evenings and weekends may be required to accommodate customer needs.

📝 Enhancement Note: The salary range for this role is estimated based on market research and regional adjustments for Denmark. The benefits package is comprehensive and designed to support the well-being and professional growth of employees.

🎯 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 is part of the AI Applications team, which is dedicated to driving AI innovation and helping customers unlock the full potential of Microsoft's AI-powered stack.

Company Size: Microsoft is a large, multinational corporation with over 180,000 employees worldwide. This role is part of a global team focused on AI applications, providing ample opportunities for collaboration and growth.

Founded: Microsoft was founded in 1975 and has since grown to become one of the world's leading technology companies. The AI Applications team has been a key focus area for Microsoft in recent years, with significant investment in research and development.

Team Structure:

AI Applications Team: This role is part of the AI Applications team, which is responsible for driving AI innovation and helping customers unlock the full potential of Microsoft's AI-powered stack. The team is composed of solution engineers, software engineers, data scientists, and other technical specialists.
Cross-Functional Collaboration: The AI Applications team works closely with other teams within Microsoft, including the Azure AI team, the Responsible AI team, and the AI Foundry team. This collaboration ensures that the team is at the forefront of AI innovation and can provide customers with cutting-edge solutions.

Development Methodology:

Agile Methodologies: The AI Applications team uses Agile methodologies, such as Scrum, to manage projects and ensure that customer needs are met in a timely and efficient manner.
Collaborative Development: The team uses collaborative development environments, such as GitHub, to facilitate code reviews, testing, and quality assurance.
CI/CD Pipelines: The team uses CI/CD pipelines to automate deployment and ensure that software is delivered quickly and reliably.

Company Website: Microsoft

📝 Enhancement Note: This role is part of a large, global team focused on AI applications at Microsoft. The team works closely with other teams within Microsoft to ensure that customers receive cutting-edge AI solutions. The team uses Agile methodologies and collaborative development environments to manage projects and ensure that customer needs are met.

📈 Career & Growth Analysis

AI Applications Solution Engineer Career Level: This role is at the mid-senior level, requiring 2-5 years of experience in AI applications development and solution design. The role offers ample opportunities for growth and development, both within the AI Applications team and across Microsoft's broader organization.

Reporting Structure: This role reports directly to the AI Applications team lead, who is responsible for managing the team's projects and ensuring that customer needs are met. The team lead works closely with other team members to ensure that projects are delivered on time and to the highest standards.

Technical Impact: This role has a significant impact on Microsoft's AI applications strategy and helps shape the future of AI development at the company. The role involves working closely with customers to understand their needs and provide tailored solutions that leverage Microsoft's AI-powered stack.

Growth Opportunities:

Technical Specialization: As an AI Applications Solution Engineer, you will have the opportunity to specialize in specific areas of AI applications development, such as natural language processing, computer vision, or machine learning.
Technical Leadership: With experience and demonstrated success, you may have the opportunity to move into a technical leadership role, where you would be responsible for managing a team of solution engineers and driving AI innovation across Microsoft's organization.
Customer Success Management: With experience and demonstrated success, you may have the opportunity to move into a customer success management role, where you would be responsible for building and maintaining strong customer relationships and driving customer satisfaction with Microsoft's AI-powered stack.

📝 Enhancement Note: This role offers ample opportunities for growth and development, both within the AI Applications team and across Microsoft's broader organization. With experience and demonstrated success, you may have the opportunity to specialize in specific areas of AI applications development, move into a technical leadership role, or move into a customer success management role.

🌐 Work Environment

Office Type: Microsoft's offices are modern, collaborative workspaces designed to facilitate communication and innovation. The AI Applications team works in an open-plan office, with dedicated spaces for meetings and quiet work.

Office Location(s): The AI Applications team is based in Microsoft's offices in Copenhagen, Denmark. However, the team works with customers worldwide and may require travel to customer sites or other Microsoft offices.

Workspace Context:

Collaborative Workspace: The AI Applications team works in an open-plan office, with dedicated spaces for meetings and quiet work. The team uses collaborative development environments, such as GitHub, to facilitate code reviews, testing, and quality assurance.
Multiple Monitors: The team uses multiple monitors to facilitate coding, testing, and debugging. This ensures that team members have the tools they need to work efficiently and effectively.
Testing Devices: The team has access to a range of testing devices, including smartphones, tablets, and laptops, to ensure that AI applications are tested on a variety of platforms and devices.

Work Schedule: The standard workweek is 40 hours, with flexible scheduling and remote work options available. Some evenings and weekends may be required to accommodate customer needs.

📝 Enhancement Note: This role is based in Microsoft's offices in Copenhagen, Denmark, with opportunities for remote work and travel to customer sites or other Microsoft offices. The team works in a collaborative workspace, with access to multiple monitors and testing devices to facilitate efficient and effective work.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss your experience and qualifications for the role.
Technical Deep Dive: A technical interview focused on your expertise in AI applications development and solution design. This may include coding challenges, architecture discussions, and problem-solving exercises.
Customer Engagement Simulation: A role-play exercise designed to assess your ability to engage with customers and understand their needs. This may involve a mock customer meeting or case study presentation.
Final Interview: A final interview with the AI Applications team lead and other team members to discuss your fit for the role and the team's culture.

Portfolio Review Tips:

Showcase Your AI Applications Expertise: Highlight your experience in AI applications development and solution design by including relevant projects and case studies in your portfolio.
Demonstrate Your Solution Design Skills: Include any solution design documentation, such as architecture diagrams or technical specifications, that demonstrate your ability to guide customers through secure, scalable solution design.
Include Customer Success Stories: Include any customer success stories that highlight your ability to help customers modernize their applications using Microsoft's AI platform. Include metrics and performance improvements where possible.
Tailor Your Portfolio to the Role: Ensure that your portfolio is tailored to the AI Applications Solution Engineer role, highlighting the skills and experience that are most relevant to the position.

Technical Challenge Preparation:

Brush Up on AI Applications Fundamentals: Review your knowledge of AI applications development and solution design, including any relevant programming languages, tools, and frameworks.
Practice Coding Challenges: Use online platforms like LeetCode, HackerRank, or Exercism to practice coding challenges and improve your problem-solving skills.
Prepare for Architecture Discussions: Review your knowledge of architecture principles and patterns, and practice explaining your thought process and decision-making in architecture discussions.
Research Microsoft's AI Platform: Familiarize yourself with Microsoft's AI platform, including AI Foundry, Azure AI, and Responsible AI. Understand how these tools and services can be used to help customers modernize their applications.

📝 Enhancement Note: This role requires a strong technical interview process, focused on your expertise in AI applications development and solution design. The interview process includes a technical deep dive, customer engagement simulation, and final interview. The portfolio review tips and technical challenge preparation guidance are designed to help you succeed in the interview process.

🛠 Technology Stack & Web Infrastructure

AI Applications Development Tools:

Python: Python is a popular programming language for AI applications development, with a wide range of libraries and frameworks available for machine learning, natural language processing, and computer vision.
TensorFlow: TensorFlow is an open-source machine learning framework developed by Google. It is widely used for AI applications development and is compatible with Python.
PyTorch: PyTorch is an open-source machine learning library developed by Facebook's AI Research lab. It is widely used for AI applications development and is compatible with Python.
Scikit-learn: Scikit-learn is a popular machine learning library for Python, providing simple and efficient tools for data mining and data analysis.

Microsoft AI Platform:

AI Foundry: AI Foundry is a cloud-based platform that enables developers to build, test, and deploy AI applications. It provides a range of tools and services for AI applications development, including a drag-and-drop interface for building AI models and a range of pre-built AI components.
Azure AI: Azure AI is a suite of cloud-based AI services that enables developers to build, deploy, and manage AI applications at scale. It includes a range of pre-built AI models and APIs, as well as tools for custom model development and deployment.
Responsible AI: Responsible AI is a set of guidelines and tools designed to help developers build ethical and transparent AI applications. It includes a range of best practices for data privacy, fairness, and accountability, as well as tools for detecting and mitigating bias in AI models.

Collaboration and Productivity Tools:

GitHub: GitHub is a popular version control system and collaborative development platform. It is used by the AI Applications team to facilitate code reviews, testing, and quality assurance.
Microsoft Teams: Microsoft Teams is a collaboration platform that enables team members to communicate, share files, and collaborate on projects in real-time. It is used by the AI Applications team to facilitate communication and collaboration.

📝 Enhancement Note: This role requires expertise in AI applications development and solution design, as well as familiarity with Microsoft's AI platform. The AI Applications Development Tools, Microsoft AI Platform, and Collaboration and Productivity Tools listed above are relevant to this role and should be familiar to candidates.

👥 Team Culture & Values

AI Applications Team Values:

Customer Obsessed: The AI Applications team is committed to understanding customer needs and providing tailored solutions that help customers modernize their applications using Microsoft's AI platform.
Innovation Driven: The team is dedicated to driving AI innovation and staying at the forefront of the latest trends and technologies in AI applications development.
Collaborative: The team works closely together, sharing knowledge and expertise to ensure that projects are delivered on time and to the highest standards.
Continuous Learning: The team is committed to continuous learning and professional development, ensuring that team members stay up-to-date with the latest trends and technologies in AI applications development.

Collaboration Style:

Cross-Functional Collaboration: The AI Applications team works closely with other teams within Microsoft, including the Azure AI team, the Responsible AI team, and the AI Foundry team. This collaboration ensures that the team is at the forefront of AI innovation and can provide customers with cutting-edge solutions.
Code Review Culture: The team uses GitHub to facilitate code reviews, testing, and quality assurance. This ensures that code is reviewed by multiple team members and meets the team's high standards for quality and performance.
Knowledge Sharing: The team is committed to knowledge sharing and continuous learning. Team members are encouraged to share their expertise and learn from one another to ensure that the team stays at the forefront of AI innovation.

📝 Enhancement Note: The AI Applications team values customer obsession, innovation, collaboration, and continuous learning. The team works closely with other teams within Microsoft to ensure that customers receive cutting-edge AI solutions. The team uses GitHub to facilitate code reviews, testing, and quality assurance, and encourages knowledge sharing and continuous learning.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: As an AI Applications Solution Engineer, you may face technical challenges related to scaling AI applications to meet the needs of large, enterprise customers. You will need to understand the principles of scalable architecture and design solutions that can handle high volumes of data and traffic.
Data Privacy and Security: You may face technical challenges related to data privacy and security, as enterprise customers often have strict requirements for data protection and compliance. You will need to understand the principles of secure architecture and design solutions that protect customer data and ensure compliance with relevant regulations.
Bias and Fairness: You may face technical challenges related to bias and fairness, as enterprise customers often require that their AI applications are fair and unbiased. You will need to understand the principles of ethical AI development and design solutions that mitigate bias and ensure fairness.

Learning & Development Opportunities:

Technical Specialization: As an AI Applications Solution Engineer, you will have the opportunity to specialize in specific areas of AI applications development, such as natural language processing, computer vision, or machine learning. You can pursue relevant certifications and attend industry conferences to deepen your expertise in these areas.
Leadership Development: With experience and demonstrated success, you may have the opportunity to move into a technical leadership role, where you would be responsible for managing a team of solution engineers and driving AI innovation across Microsoft's organization. You can pursue relevant certifications and attend leadership development programs to prepare for this role.
Customer Success Management: With experience and demonstrated success, you may have the opportunity to move into a customer success management role, where you would be responsible for building and maintaining strong customer relationships and driving customer satisfaction with Microsoft's AI-powered stack. You can pursue relevant certifications and attend customer success management training programs to prepare for this role.

📝 Enhancement Note: As an AI Applications Solution Engineer, you may face technical challenges related to scalability, data privacy and security, and bias and fairness. You will need to understand the principles of scalable architecture, secure architecture, and ethical AI development to design solutions that meet the needs of enterprise customers. You will have the opportunity to specialize in specific areas of AI applications development, pursue relevant certifications, and attend industry conferences to deepen your expertise. With experience and demonstrated success, you may have the opportunity to move into a technical leadership role or a customer success management role, where you can pursue relevant certifications and attend leadership development or customer success management training programs to prepare for these roles.

💡 Interview Preparation

Technical Questions:

AI Applications Fundamentals: Be prepared to discuss your expertise in AI applications development and solution design, including any relevant programming languages, tools, and frameworks. You may be asked to explain your approach to AI applications development, your understanding of AI applications architecture, and your experience with AI applications deployment.
Solution Design Principles: Be prepared to discuss your understanding of solution design principles and your experience with architecture workshops, Proof of Concepts, and hackathons. You may be asked to explain your approach to secure, scalable solution design, your experience with customer engagement, and your ability to influence technical decisions.
Problem-Solving Skills: Be prepared to demonstrate your problem-solving skills through coding challenges, architecture discussions, and problem-solving exercises. You may be asked to explain your thought process and decision-making in architecture discussions, your approach to problem-solving, and your experience with debugging and troubleshooting.

Company & Culture Questions:

Microsoft's AI Platform: Be prepared to discuss your understanding of Microsoft's AI platform, including AI Foundry, Azure AI, and Responsible AI. You may be asked to explain how these tools and services can be used to help customers modernize their applications, your experience with Microsoft's AI platform, and your ability to guide customers through secure, scalable solution design.
AI Applications Team Culture: Be prepared to discuss your understanding of the AI Applications team culture, including the team's values of customer obsession, innovation, collaboration, and continuous learning. You may be ask to explain how you would contribute to the team's culture, your experience with cross-functional collaboration, and your ability to work effectively in a collaborative development environment.
Customer Engagement: Be prepared to discuss your experience with customer engagement, your ability to understand customer needs, and your approach to building and maintaining strong customer relationships. You may be asked to explain your experience with customer success management, your ability to drive customer satisfaction, and your approach to customer engagement in the AI Applications Solution Engineer role.

Portfolio Presentation Strategy:

Live Website Demonstration: Prepare a live website demonstration that showcases your experience in AI applications development and solution design. Include any relevant projects, case studies, or customer success stories that highlight your ability to help customers modernize their applications using Microsoft's AI platform.
Code Explanation: Prepare detailed explanations of your code, including any relevant code snippets or examples. Explain your approach to code quality, your experience with version control, and your ability to collaborate effectively in a collaborative development environment.
Architecture Decision Reasoning: Prepare detailed explanations of your architecture decisions, including any relevant architecture diagrams or technical specifications. Explain your approach to secure, scalable solution design, your experience with architecture workshops, and your ability to influence technical decisions.

📝 Enhancement Note: As an AI Applications Solution Engineer, you will need to demonstrate your expertise in AI applications development and solution design, your understanding of Microsoft's AI platform, and your ability to guide customers through secure, scalable solution design. You will need to prepare for technical questions related to AI applications fundamentals, solution design principles, and problem-solving skills, as well as company and culture questions related to Microsoft's AI platform and the AI Applications team culture. You will need to prepare a live website demonstration, detailed code explanations, and detailed architecture decision reasoning to showcase your expertise and demonstrate your ability to succeed in the AI Applications Solution Engineer role.

📌 Application Steps

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

Tailor Your Resume: Customize your resume to highlight your experience in AI applications development and solution design, your understanding of Microsoft's AI platform, and your ability to guide customers through secure, scalable solution design. Include any relevant projects, case studies, or customer success stories that demonstrate your expertise in AI applications development and solution design.
Prepare Your Portfolio: Prepare a live website demonstration that showcases your experience in AI applications development and solution design, including any relevant projects, case studies, or customer success stories. Include detailed explanations of your code, architecture decisions, and your approach to customer engagement.
Research Microsoft: Familiarize yourself with Microsoft's AI platform, including AI Foundry, Azure AI, and Responsible AI. Understand how these tools and services can be used to help customers modernize their applications and how you can guide customers through secure, scalable solution design using Microsoft's AI platform.
Prepare for the Interview: Prepare for the interview process by reviewing your knowledge of AI applications development and solution design, practicing coding challenges, and researching Microsoft's AI platform. Be ready to discuss your expertise in AI applications development and solution design, your understanding of Microsoft's AI platform, and your ability to guide customers through secure, scalable solution design.

📝 Enhancement Note: To apply for this AI Applications Solution Engineer position at Microsoft, you will need to tailor your resume to highlight your experience in AI applications development and solution design, prepare a live website demonstration that showcases your expertise, research Microsoft's AI platform, and prepare for the interview process by reviewing your knowledge of AI applications development and solution design and practicing coding challenges.

Cloud & AI Solution Engineer – AI Applications