📍 Job Overview

• Job Title: Digital Solution Engineering - Cloud & AI, Apps & AI BeLux Area
• Company: Microsoft
• Location: Dublin, Leinster, Ireland
• Job Type: Full-Time
• Category: Solution Engineering, AI & Cloud
• Date Posted: 2025-07-31
• Experience Level: 2-5 years
• Remote Status: On-site (Dublin, Ireland)

🚀 Role Summary

• Key web technology aspects:
  • Drive innovation in AI applications and cloud solutions for mid-market customers in the BeLux region.
  • Collaborate with engineering leaders and platform teams to accelerate AI Foundry, Cloud & AI, and Responsible AI.
  • Guide customers through secure, scalable solution design and influence technical decisions.
  • Accelerate AI applications development into deployment workflows.

📝 Enhancement Note: This role focuses on the latest AI and cloud technologies, requiring a strong technical background and a passion for driving innovation in the AI applications space.

💻 Primary Responsibilities

• AI Applications & Cloud Solutions:

  • Collaborate with engineering teams to accelerate AI Foundry, Cloud & AI, and Responsible AI.
  • Guide customers through secure, scalable solution design and influence technical decisions.
  • Accelerate AI applications development into deployment workflows.

• Customer Engagement & Solution Design:

  • Lead impactful engagements to help customers modernize their applications and adopt AI-powered solutions.
  • Design and deploy AI solutions that meet customer needs and drive innovation.

• Technical Advisory & Collaboration:

  • Serve as a trusted technical advisor, guiding customers through application modernization and AI adoption.
  • Work closely with engineering teams, platform specialists, and customer developers to deliver successful outcomes.

📝 Enhancement Note: This role requires strong collaboration skills, as you'll work with various teams to deliver successful customer outcomes.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant industry certifications are a plus.

Experience: 2-5 years of experience in AI applications development, cloud computing, or a related field. Experience with Microsoft's AI and application platform is beneficial.

Required Skills:

• Proficient in AI applications development and cloud computing.
• Strong solution design and architecture skills.
• Excellent communication and collaboration skills.
• Experience with AI Foundry, Azure AI, or similar AI development platforms.
• Familiarity with AI development lifecycle and deployment workflows.

Preferred Skills:

• Experience with Microsoft's AI and application platform.
• Knowledge of Azure AI services and responsible AI practices.
• Familiarity with AI agent development and agentic AI principles.
• Experience with AI-powered development tools and agentic AI development.

📝 Enhancement Note: While experience with Microsoft's AI and application platform is beneficial, a strong background in AI applications development and cloud computing is more important.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• AI Applications & Cloud Solutions: Showcase your experience in AI applications development and cloud computing with relevant projects and case studies.
• Solution Design & Architecture: Demonstrate your ability to design and deploy secure, scalable AI solutions with examples from previous projects.
• Customer Engagement: Highlight your experience working with customers to modernize their applications and adopt AI-powered solutions.

Technical Documentation:

• AI Applications & Cloud Solutions: Document your approach to AI applications development and cloud computing, including the technologies and tools used.
• Solution Design & Architecture: Detail your process for designing and deploying secure, scalable AI solutions, including any challenges faced and how they were overcome.
• Customer Engagement: Describe your experience working with customers to modernize their applications and adopt AI-powered solutions, including any successes and lessons learned.

📝 Enhancement Note: As this role focuses on driving innovation in AI applications and cloud solutions, your portfolio should emphasize your ability to design and deploy cutting-edge AI solutions that meet customer needs.

💵 Compensation & Benefits

Salary Range: €60,000 - €80,000 per year (based on market research for AI & Cloud Solution Engineers in Dublin, Ireland)

Benefits:

• Competitive benefits package, including health insurance and retirement plans.
• Generous vacation and sick leave policies.
• Opportunities for professional development and career growth.
• Flexible work arrangements, including remote work opportunities.

Working Hours: Full-time position with standard working hours (Monday - Friday, 9:00 AM - 5:30 PM), with flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: While the salary range provided is based on market research, the final salary offer will depend on the candidate's experience and qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on AI and cloud computing solutions.

Company Size: Large (200,000+ employees worldwide), with a decentralized structure that allows for innovation and growth.

Founded: 1975, with a rich history of technological innovation and industry leadership.

Team Structure:

• AI & Cloud Solutions Team: Collaborate with engineering teams to accelerate AI Foundry, Cloud & AI, and Responsible AI.
• Customer Engagement Team: Work closely with customers to modernize their applications and adopt AI-powered solutions.
• Cross-functional Teams: Collaborate with various teams, including engineering, platform specialists, and customer developers, to deliver successful outcomes.

Development Methodology:

• Agile/Scrum Methodologies: Use Agile/Scrum methodologies for solution design, development, and deployment.
• Code Review & Testing: Implement code review and testing practices to ensure solution quality and performance.
• Deployment Strategies: Utilize deployment strategies, including CI/CD pipelines, to automate deployment and ensure scalability.

Company Website: Microsoft Careers

📝 Enhancement Note: Microsoft's decentralized structure allows for innovation and growth, providing ample opportunities for career advancement and skill development.

📈 Career & Growth Analysis

AI Applications & Cloud Solutions Career Level: This role is at the mid-level, focusing on driving innovation in AI applications and cloud solutions. It requires a strong technical background and a passion for staying up-to-date with the latest AI and cloud technologies.

Reporting Structure: This role reports to the AI & Cloud Solutions Team Lead, with a matrixed reporting structure to other teams, including Customer Engagement and Engineering.

Technical Impact: As a Digital Solution Engineer, you will have a significant impact on AI applications development and cloud computing solutions, driving innovation and helping customers modernize their applications.

Growth Opportunities:

• Technical Leadership: Develop your technical leadership skills by guiding customers through secure, scalable solution design and influencing technical decisions.
• Strategic Influence: Gain strategic influence by shaping key technical decisions that drive innovation in AI applications and cloud solutions.
• Continuous Learning: Stay up-to-date with the latest AI and cloud technologies through continuous learning, certifications, and exposure to Microsoft's evolving AI, cloud-native, and responsible AI technologies.

📝 Enhancement Note: This role offers significant growth opportunities, allowing you to develop your technical leadership skills, gain strategic influence, and stay up-to-date with the latest AI and cloud technologies.

🌐 Work Environment

Office Type: Modern, collaborative office space with state-of-the-art technology and amenities.

Office Location(s): Dublin, Ireland, with opportunities for remote work and hybrid work arrangements.

Workspace Context:

• Collaborative Workspace: Foster collaboration and innovation with open-plan workspaces, meeting rooms, and breakout areas.
• Technology & Amenities: Utilize the latest technology, including high-speed internet, multiple monitors, and testing devices.
• Cross-functional Collaboration: Work closely with various teams, including engineering, platform specialists, and customer developers, to deliver successful outcomes.

Work Schedule: Full-time position with standard working hours (Monday - Friday, 9:00 AM - 5:30 PM), with flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: Microsoft's work environment fosters collaboration and innovation, providing ample opportunities for cross-functional collaboration and growth.

📄 Application & Technical Interview Process

Interview Process:

• Technical Phone Screen: A 30-minute phone or video call to assess your technical skills and cultural fit.
• On-site Interview: A full-day on-site interview, including technical challenges, case studies, and behavioral questions.
• Final Decision: A final decision will be made based on your performance throughout the interview process.

Portfolio Review Tips:

• AI Applications & Cloud Solutions: Highlight your experience in AI applications development and cloud computing with relevant projects and case studies.
• Solution Design & Architecture: Demonstrate your ability to design and deploy secure, scalable AI solutions with examples from previous projects.
• Customer Engagement: Showcase your experience working with customers to modernize their applications and adopt AI-powered solutions.

Technical Challenge Preparation:

• AI Applications & Cloud Solutions: Brush up on your AI applications development and cloud computing skills, focusing on the latest technologies and best practices.
• Solution Design & Architecture: Prepare for architecture workshops and solution design challenges, focusing on secure, scalable AI solutions.
• Customer Engagement: Familiarize yourself with Microsoft's AI and application platform, including AI Foundry and Azure AI services.

ATS Keywords: (Provided below in the "Technology Stack & Web Infrastructure" section)

📝 Enhancement Note: The interview process for this role is comprehensive, focusing on your technical skills, cultural fit, and ability to drive innovation in AI applications and cloud solutions.

🛠 Technology Stack & Web Infrastructure

AI Applications & Cloud Solutions:

• AI Development Platforms: Proficient in AI Foundry, Azure AI, or similar AI development platforms.
• Cloud Computing: Familiar with cloud computing services, such as Azure, AWS, or GCP.
• AI Development Tools: Experience with AI-powered development tools and agentic AI development.

Solution Design & Architecture:

• Solution Design Frameworks: Familiar with solution design frameworks, such as Azure Architecture Center or similar tools.
• Cloud Architecture: Proficient in cloud architecture design and deployment, including infrastructure as code (IaC) tools.
• Security & Compliance: Knowledge of security and compliance best practices for cloud-based AI solutions.

Customer Engagement:

• Customer Relationship Management (CRM): Familiar with CRM systems, such as Microsoft Dynamics 365 or similar tools.
• Project Management: Experience with project management tools, such as Azure DevOps or similar tools.
• Communication & Collaboration: Proficient in communication and collaboration tools, such as Microsoft Teams or similar tools.

Technology Stack & Infrastructure Keywords:

• AI Applications: AI Foundry, Azure AI, Responsible AI, AI Agent Development, Agentic AI, AI Development Lifecycle, AI Development Tools
• Cloud Computing: Azure, AWS, GCP, Cloud Architecture, Infrastructure as Code (IaC), Cloud Deployment, Cloud Security, Cloud Compliance
• Solution Design & Architecture: Azure Architecture Center, Solution Design Frameworks, Cloud Architecture, Security & Compliance, AI Solution Design, AI Solution Deployment
• Customer Engagement: Microsoft Dynamics 365, Project Management Tools, Communication & Collaboration Tools, Customer Relationship Management (CRM)

📝 Enhancement Note: This role requires proficiency in AI applications development, cloud computing, and solution design, with a strong focus on Microsoft's AI and application platform.

👥 Team Culture & Values

AI Applications & Cloud Solutions Values:

• Innovation: Drive innovation in AI applications and cloud solutions to meet customer needs and exceed expectations.
• Customer Obsessed: Focus on customer success and deliver AI-powered solutions that drive business value.
• One Microsoft: Collaborate with cross-functional teams to deliver integrated AI and cloud solutions that meet customer needs.
• Learn It All, Do It All: Embrace a growth mindset and continuously learn new technologies and best practices.

Collaboration Style:

• Cross-functional Collaboration: Work closely with various teams, including engineering, platform specialists, and customer developers, to deliver successful outcomes.
• Knowledge Sharing: Share your knowledge and expertise with team members to foster a culture of continuous learning and growth.
• Technical Mentoring: Provide technical mentoring and guidance to help team members develop their skills and advance their careers.

📝 Enhancement Note: Microsoft's team culture fosters innovation, collaboration, and continuous learning, providing ample opportunities for growth and development.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• AI Applications & Cloud Solutions: Stay up-to-date with the latest AI and cloud technologies, and adapt to rapidly changing customer needs.
• Solution Design & Architecture: Design and deploy secure, scalable AI solutions that meet customer needs and exceed expectations.
• Customer Engagement: Build strong customer relationships and deliver AI-powered solutions that drive business value.

Learning & Development Opportunities:

• AI Applications & Cloud Solutions: Stay up-to-date with the latest AI and cloud technologies through continuous learning, certifications, and exposure to Microsoft's evolving AI, cloud-native, and responsible AI technologies.
• Solution Design & Architecture: Develop your solution design and architecture skills through hands-on projects, workshops, and mentoring opportunities.
• Customer Engagement: Enhance your customer engagement skills through training, workshops, and on-the-job experience.

📝 Enhancement Note: This role offers significant technical challenges and learning opportunities, allowing you to stay up-to-date with the latest AI and cloud technologies and develop your solution design and architecture skills.

💡 Interview Preparation

Technical Questions:

• AI Applications & Cloud Solutions: Brush up on your AI applications development and cloud computing skills, focusing on the latest technologies and best practices.
• Solution Design & Architecture: Prepare for architecture workshops and solution design challenges, focusing on secure, scalable AI solutions.
• Customer Engagement: Familiarize yourself with Microsoft's AI and application platform, including AI Foundry and Azure AI services.

Company & Culture Questions:

• AI Applications & Cloud Solutions: Research Microsoft's AI and cloud solutions, focusing on AI Foundry, Azure AI, and Responsible AI.
• Solution Design & Architecture: Prepare for questions about your solution design and architecture approach, focusing on secure, scalable AI solutions.
• Customer Engagement: Familiarize yourself with Microsoft's customer engagement strategies and best practices.

Portfolio Presentation Strategy:

• AI Applications & Cloud Solutions: Highlight your experience in AI applications development and cloud computing with relevant projects and case studies.
• Solution Design & Architecture: Demonstrate your ability to design and deploy secure, scalable AI solutions with examples from previous projects.
• Customer Engagement: Showcase your experience working with customers to modernize their applications and adopt AI-powered solutions.

📝 Enhancement Note: The interview process for this role is comprehensive, focusing on your technical skills, cultural fit, and ability to drive innovation in AI applications and cloud solutions.

📌 Application Steps

To apply for this AI Applications & Cloud Solutions Digital Solution Engineering position:

• Submit your application through the Microsoft Careers website.
• Portfolio Customization: Tailor your portfolio to highlight your experience in AI applications development, cloud computing, and solution design, with a focus on Microsoft's AI and application platform.
• Resume Optimization: Optimize your resume for AI & Cloud Solution Engineer roles, emphasizing your technical skills, project highlights, and customer engagement successes.
• Technical Interview Preparation: Brush up on your AI applications development, cloud computing, and solution design skills, focusing on Microsoft's AI and application platform.
• Company Research: Research Microsoft's AI and cloud solutions, focusing on AI Foundry, Azure AI, and Responsible AI, as well as their customer engagement strategies and best practices.

⚠️ 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.