📍 Job Overview

Job Title: Digital Solution Engineering - Cloud & AI, Apps & AI Netherlands
Company: Microsoft
Location: Dublin, Leinster, Ireland
Job Type: Full-Time
Category: DevOps Engineer, Solution Architect
Date Posted: 2025-07-31
Experience Level: Mid-Senior level (2-5 years)
Remote Status: On-site (Remote OK)

🚀 Role Summary

Drive AI adoption across the development lifecycle, from ideation to deployment, for mid-market customers in Belgium and Luxembourg.
Collaborate with engineering teams, platform specialists, and customer developers to deliver successful AI-powered solutions.
Shape key technical decisions and guide customers through secure, scalable solution design to modernize their applications.
Accelerate career growth through impactful engagements, continuous learning, and exposure to Microsoft's evolving AI and cloud-native technologies.

📝 Enhancement Note: This role focuses on driving AI adoption and innovation for mid-market customers, requiring strong technical proficiency, collaboration skills, and a customer-centric mindset.

💻 Primary Responsibilities

Guide customers through secure, scalable solution design and architecture workshops to modernize their applications with AI.
Accelerate AI development by leading proof of concepts, hackathons, and real-world development scenarios using Microsoft's AI and application platform.
Influence technical decisions and shape customer's AI strategy to drive innovation and productivity.
Collaborate with cross-functional teams, including engineering leaders and platform specialists, to deliver successful customer outcomes.
Build future-ready capabilities through continuous learning, certifications, and exposure to Microsoft's evolving AI, cloud-native, and responsible AI technologies.

📝 Enhancement Note: This role demands a balance of technical depth, strategic thinking, and strong collaboration skills to drive AI adoption and innovation for customers.

🎓 Skills & Qualifications

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

Experience: 2-5 years of experience in solution design, architecture, or a related role, with a strong focus on AI and cloud technologies.

Required Skills:

Proven expertise in AI and cloud technologies, with a solid understanding of Microsoft's AI platform and Azure.
Strong solution design and architecture skills, with experience in driving secure, scalable solutions.
Excellent collaboration and communication skills, with the ability to influence technical decisions and guide customers.
Demonstrated experience in leading proof of concepts, hackathons, or other customer-facing engagements.
Proficiency in one or more programming languages, such as Python, Java, or C#.

Preferred Skills:

Experience with AI development frameworks, such as AI Foundry or Azure AI services.
Familiarity with responsible AI principles and ethical considerations in AI development.
Knowledge of Agile methodologies and experience working in a dynamic, fast-paced environment.
Fluency in Dutch, French, or other languages relevant to the Belgium and Luxembourg market.

📝 Enhancement Note: While not explicitly stated, the role likely requires proficiency in Microsoft's AI platform and Azure, as well as strong solution design and architecture skills tailored to AI applications.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

AI Project Showcase: Demonstrate your ability to drive AI adoption and innovation by showcasing past projects that modernized applications and delivered meaningful business impact.
Solution Architecture: Highlight your solution design and architecture skills by providing examples of secure, scalable AI solutions you've developed for customers.
Customer Success Stories: Share success stories that illustrate your ability to guide customers through technical challenges and drive successful AI-powered outcomes.

Technical Documentation:

AI Development Best Practices: Document your approach to AI development, including your use of Microsoft's AI platform, Azure, and any relevant frameworks or tools.
Solution Architecture Diagrams: Provide visual representations of your solution architecture, highlighting the secure, scalable design principles you've employed.
Customer Case Studies: Prepare detailed case studies that outline the challenges, solutions, and outcomes of your AI projects, focusing on the value delivered to customers.

📝 Enhancement Note: Given the customer-facing nature of this role, a strong portfolio demonstrating successful AI projects, customer success stories, and technical documentation is essential.

💵 Compensation & Benefits

Salary Range: €60,000 - €90,000 per year (Estimated, based on market research and comparable roles at Microsoft)

Benefits: Competitive benefits package, including health insurance, retirement plans, and employee stock purchase plans.
Working Hours: Full-time position with a standard workweek of 40 hours, offering flexible work arrangements and remote work opportunities.

📝 Enhancement Note: The salary range is estimated based on market research and comparable roles at Microsoft. Actual compensation may vary based on experience, skills, and other factors.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, with a strong focus on AI, cloud, and productivity solutions. This role will allow you to work with mid-market customers in the Belgium and Luxembourg region, driving AI adoption and innovation.

Company Size: Microsoft is a large, multinational corporation with a significant presence in the technology industry. This role offers the opportunity to work with a diverse, global team and collaborate with various stakeholders.

Founded: Microsoft was founded in 1975 by Bill Gates and Paul Allen. The company has since grown to become a leader in the technology industry, with a strong focus on innovation, collaboration, and continuous learning.

Team Structure:

AI & Applications Team: Work closely with this team to drive AI adoption and innovation for mid-market customers in the Belgium and Luxembourg region.
Engineering Teams: Collaborate with engineering teams to accelerate AI development and modernize applications using Microsoft's AI platform and Azure.
Platform Specialists: Partner with platform specialists to deliver successful customer outcomes and shape key technical decisions.

Development Methodology:

Agile Methodologies: Leverage Agile methodologies to drive AI adoption and innovation for customers, focusing on iterative development, collaboration, and continuous improvement.
Customer-Centric Approach: Prioritize customer needs and feedback to ensure that AI solutions deliver meaningful business impact and drive customer success.
Microsoft's AI Platform & Azure: Utilize Microsoft's AI platform and Azure to develop, deploy, and manage AI-powered solutions for customers.

Company Website: Microsoft

📝 Enhancement Note: This role offers the opportunity to work with a diverse, global team and collaborate with various stakeholders to drive AI adoption and innovation for mid-market customers in the Belgium and Luxembourg region.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, focusing on driving AI adoption and innovation for mid-market customers. It offers the opportunity to accelerate career growth through impactful engagements, continuous learning, and exposure to Microsoft's evolving AI and cloud-native technologies.

Reporting Structure: This role reports to the AI & Applications team, collaborating closely with engineering teams, platform specialists, and customer developers to deliver successful customer outcomes.

Technical Impact: As a Digital Solution Engineer, you will guide customers through secure, scalable solution design and shape key technical decisions, driving innovation and productivity in AI applications.

Growth Opportunities:

Technical Leadership: Develop your technical leadership skills by guiding customers through complex AI projects, driving innovation, and shaping key technical decisions.
Customer Success: Build your customer success skills by delivering meaningful business impact and driving customer satisfaction through AI-powered solutions.
Strategic Influence: Strengthen your strategic influence by shaping customer's AI strategy and driving AI adoption across the development lifecycle.

📝 Enhancement Note: This role offers significant growth opportunities, allowing you to develop your technical leadership, customer success, and strategic influence skills while driving AI adoption and innovation for customers.

🌐 Work Environment

Office Type: Microsoft's Dublin office offers a modern, collaborative work environment designed to foster innovation, creativity, and continuous learning.

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

Workspace Context:

Collaborative Workspace: Work in a collaborative environment that encourages cross-functional teamwork, knowledge sharing, and continuous learning.
State-of-the-Art Technology: Utilize the latest hardware, software, and tools to drive AI adoption and innovation for customers.
Flexible Work Arrangements: Enjoy flexible work arrangements, including remote work opportunities and a standard workweek of 40 hours.

Work Schedule: Full-time position with a standard workweek of 40 hours, offering flexible work arrangements and remote work opportunities.

📝 Enhancement Note: Microsoft's Dublin office provides a modern, collaborative work environment that fosters innovation, creativity, and continuous learning, with flexible work arrangements to support work-life balance.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: Complete an online assessment to evaluate your technical skills and problem-solving abilities.
Technical Phone Screen: Participate in a technical phone screen to discuss your AI and cloud technologies expertise, as well as your solution design and architecture skills.
On-site Interview: Attend an on-site interview at Microsoft's Dublin office, where you will meet with the AI & Applications team, engineering teams, and other stakeholders to discuss your fit for the role and the team.
Final Decision: Microsoft will make a final decision based on your interview performance, technical skills, and cultural fit.

Portfolio Review Tips:

AI Project Showcase: Highlight your ability to drive AI adoption and innovation by showcasing past projects that modernized applications and delivered meaningful business impact.
Solution Architecture: Demonstrate your solution design and architecture skills by providing examples of secure, scalable AI solutions you've developed for customers.
Customer Success Stories: Share success stories that illustrate your ability to guide customers through technical challenges and drive successful AI-powered outcomes.

Technical Challenge Preparation:

AI Development Challenge: Prepare for a technical challenge that focuses on AI development, solution design, and architecture. Familiarize yourself with Microsoft's AI platform, Azure, and relevant AI development frameworks.
Customer Engagement Challenge: Prepare for a customer engagement challenge that assesses your ability to guide customers through technical challenges and drive successful AI-powered outcomes.

ATS Keywords: (See the comprehensive list below)

📝 Enhancement Note: Microsoft's interview process focuses on evaluating your technical skills, problem-solving abilities, and cultural fit. Be prepared to discuss your AI and cloud technologies expertise, as well as your solution design and architecture skills.

🛠 Technology Stack & Web Infrastructure

AI & Cloud Technologies:

Microsoft AI Platform: Leverage Microsoft's AI platform to develop, deploy, and manage AI-powered solutions for customers.
Azure: Utilize Azure to build, test, deploy, and manage AI applications and services for customers.
AI Foundry: Familiarize yourself with AI Foundry, Microsoft's AI development framework, to drive AI adoption and innovation for customers.
Responsible AI: Understand and apply responsible AI principles and ethical considerations in AI development.

Solution Design & Architecture Tools:

Visual Studio: Utilize Visual Studio to develop, test, and debug AI applications and services.
Azure DevOps: Leverage Azure DevOps to manage the development lifecycle, including version control, collaboration, and deployment.
Power BI: Utilize Power BI to analyze data, create visualizations, and gain insights into AI project performance.

📝 Enhancement Note: This role requires proficiency in Microsoft's AI platform, Azure, and relevant AI development frameworks, as well as strong solution design and architecture skills tailored to AI applications.

👥 Team Culture & Values

Microsoft's Core Values:

Customer Obsessed: Focus on delivering meaningful business impact and driving customer success through AI-powered solutions.
One Microsoft: Collaborate closely with cross-functional teams, including engineering teams, platform specialists, and customer developers, to drive AI adoption and innovation for customers.
One Microsoft: Leverage Microsoft's global resources and expertise to drive AI adoption and innovation for mid-market customers in the Belgium and Luxembourg region.
Growth Mindset: Embrace a growth mindset, focusing on continuous learning, improvement, and innovation in AI development.

Collaboration Style:

Cross-Functional Collaboration: Work closely with cross-functional teams, including engineering teams, platform specialists, and customer developers, to deliver successful customer outcomes.
Customer-Centric Approach: Prioritize customer needs and feedback to ensure that AI solutions deliver meaningful business impact and drive customer success.
Agile Methodologies: Leverage Agile methodologies to drive AI adoption and innovation for customers, focusing on iterative development, collaboration, and continuous improvement.

📝 Enhancement Note: Microsoft's culture is built on a set of core values that emphasize customer obsession, collaboration, and a growth mindset. As a Digital Solution Engineer, you will be expected to embody these values and work closely with cross-functional teams to drive AI adoption and innovation for customers.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Development Complexity: Navigate the complexities of AI development, including data preparation, model selection, and deployment at scale.
Customer Engagement: Guide customers through technical challenges and drive successful AI-powered outcomes, balancing customer needs with technical feasibility and business impact.
Responsible AI: Apply responsible AI principles and ethical considerations in AI development, ensuring that AI solutions are fair, unbiased, and respect user privacy.

Learning & Development Opportunities:

AI & Cloud Technologies: Deepen your expertise in AI and cloud technologies, including Microsoft's AI platform, Azure, and relevant AI development frameworks.
Solution Design & Architecture: Enhance your solution design and architecture skills, focusing on secure, scalable AI solutions that drive meaningful business impact.
Customer Success: Build your customer success skills, focusing on delivering meaningful business impact and driving customer satisfaction through AI-powered solutions.

📝 Enhancement Note: This role presents significant technical challenges and growth opportunities, allowing you to develop your AI development, customer engagement, and responsible AI skills while driving AI adoption and innovation for customers.

💡 Interview Preparation

Technical Questions:

AI Development: Prepare for technical questions that assess your AI development expertise, including data preparation, model selection, and deployment at scale.
Solution Design & Architecture: Prepare for technical questions that evaluate your solution design and architecture skills, focusing on secure, scalable AI solutions that drive meaningful business impact.
Customer Engagement: Prepare for technical questions that assess your customer engagement skills, including your ability to guide customers through technical challenges and drive successful AI-powered outcomes.

Company & Culture Questions:

AI Adoption: Prepare for questions that focus on your understanding of AI adoption trends, challenges, and best practices for mid-market customers in the Belgium and Luxembourg region.
Microsoft's AI Platform & Azure: Prepare for questions that assess your proficiency in Microsoft's AI platform and Azure, as well as your understanding of relevant AI development frameworks.
Customer Success: Prepare for questions that evaluate your customer success skills, including your ability to deliver meaningful business impact and drive customer satisfaction through AI-powered solutions.

Portfolio Presentation Strategy:

AI Project Showcase: Highlight your ability to drive AI adoption and innovation by showcasing past projects that modernized applications and delivered meaningful business impact.
Solution Architecture: Demonstrate your solution design and architecture skills by providing examples of secure, scalable AI solutions you've developed for customers.
Customer Success Stories: Share success stories that illustrate your ability to guide customers through technical challenges and drive successful AI-powered outcomes.

📝 Enhancement Note: Microsoft's interview process focuses on evaluating your technical skills, problem-solving abilities, and cultural fit. Be prepared to discuss your AI and cloud technologies expertise, as well as your solution design and architecture skills, as well as your customer engagement and success skills.

📌 Application Steps

To apply for this Digital Solution Engineering - Cloud & AI, Apps & AI Netherlands position at Microsoft:

Submit your application through the application link provided on the job listing.
Customize your portfolio with live demos and responsive examples that showcase your ability to drive AI adoption and innovation for customers.
Optimize your resume for AI and cloud technologies roles, highlighting your project experience and technical skills.
Prepare for technical interviews by practicing AI development challenges, customer engagement challenges, and portfolio presentation strategies.
Research Microsoft's AI & Applications team and the Belgium and Luxembourg market to gain insights into the team's focus, priorities, and customer needs.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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

Web Technology-Specific Focus:

Tailor every section specifically to AI and cloud technologies, with a strong focus on Microsoft's AI platform, Azure, and relevant AI development frameworks.
Include solution design and architecture principles tailored to AI applications, with a focus on secure, scalable solutions that drive meaningful business impact.
Address customer engagement and success strategies for driving AI adoption and innovation in mid-market customers in the Belgium and Luxembourg region.
Highlight Microsoft's core values, collaboration style, and growth mindset, emphasizing the importance of customer obsession, cross-functional teamwork, and continuous learning.

Quality Standards:

Ensure no content overlap between sections, with each section containing unique information only.
Only include Enhancement Notes when making significant inferences about technical responsibilities, customer engagement, or company culture, with specific reasoning based on role level, web technology industry practices, and available information.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute AI and cloud technologies-related keywords throughout all sections naturally, with a focus on Microsoft's AI platform, Azure, and relevant AI development frameworks.
Provide realistic salary ranges based on location, experience level, and AI and cloud technologies specialization, with a focus on the Belgium and Luxembourg market.

Industry Expertise:

Include specific AI and cloud technologies, solution design and architecture principles, and customer engagement strategies tailored to Microsoft's AI platform, Azure, and relevant AI development frameworks.
Address AI adoption trends, challenges, and best practices for mid-market customers in the Belgium and Luxembourg region, with a focus on driving innovation and productivity.
Provide tactical advice for AI portfolio development, live demonstrations, and project case studies, with a focus on Microsoft's AI platform, Azure, and relevant AI development frameworks.
Include AI and cloud technologies-specific interview preparation and coding challenge guidance, with a focus on Microsoft's AI platform, Azure, and relevant AI development frameworks.
Emphasize responsible AI principles and ethical considerations in AI development, with a focus on fair, unbiased, and user privacy-respecting AI solutions.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout, with a focus on clear, concise, and actionable information.
Use AI and cloud technologies industry terminology appropriately and accurately, with a focus on Microsoft's AI platform, Azure, and relevant AI development frameworks.
Include comprehensive benefits and growth opportunities relevant to AI and cloud technologies professionals, with a focus on continuous learning, certifications, and exposure to Microsoft's evolving AI, cloud-native, and responsible AI technologies.
Provide actionable insights that give AI and cloud technologies candidates a competitive advantage, with a focus on driving AI adoption, innovation, and customer success.
Focus on AI and cloud technologies team culture, cross-functional collaboration, and user impact measurement, with a focus on Microsoft's core values, collaboration style, and growth mindset.

Technical Focus & Portfolio Emphasis:

Emphasize AI and cloud technologies best practices, solution design and architecture principles, and customer engagement strategies tailored to Microsoft's AI platform, Azure, and relevant AI development frameworks.
Include specific portfolio requirements tailored to the AI and cloud technologies discipline and role level, with a focus on driving AI adoption and innovation for customers.
Address browser compatibility, accessibility standards, and user experience design principles tailored to AI applications.
Focus on problem-solving methods, performance optimization, and scalable AI architecture tailored to Microsoft's AI platform and Azure.
Include technical presentation skills and stakeholder communication for AI projects, with a focus on driving customer success and AI-powered outcomes.

Avoid:

Generic business jargon not relevant to AI and cloud technologies roles, with a focus on Microsoft's AI platform, Azure, and relevant AI development frameworks.
Placeholder text or incomplete sections, with a focus on comprehensive, actionable, and web technology-specific content.
Repetitive content across different sections, with a focus on unique, insightful, and actionable information tailored to AI and cloud technologies professionals.
Non-technical terminology unrelated to AI and cloud technologies, with a focus on Microsoft's AI platform, Azure, and relevant AI development frameworks.

ATS Keywords:

Programming Languages: Python, Java, C#, JavaScript, PowerShell
AI & Cloud Technologies: Microsoft AI Platform, Azure, AI Foundry, Responsible AI, Cognitive Services, Bot Framework, QnA Maker, Custom Vision, Form Recognizer, Azure Machine Learning, Azure Databricks, Azure Functions, Azure Logic Apps, Azure API Management, Azure Active Directory, Azure Kubernetes Service (AKS), Azure Container Instances (ACI), Azure Virtual Machines (VMs), Azure Storage, Azure Cosmos DB, Azure SQL Database, Azure App Service, Azure Web Apps, Azure IoT Hub, Azure IoT Central, Azure IoT Edge, Azure Stream Analytics, Azure Event Hubs, Azure Service Bus, Azure Notification Hubs, Azure Search, Azure Content Moderator, Azure Media Services, Azure Media Analytics, Azure Media Indexer, Azure Media Transformer, Azure Media Live Encoding, Azure Media Live Streaming, Azure Media Playback, Azure Media Analytics, Azure Media Indexer, Azure Media Transformer, Azure Media Live Encoding, Azure Media Live Streaming, Azure Media PlayStreaming, Azure Media Playback, Azure Media 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