📍 Job Overview

Job Title: Cloud Solution Architect - Cloud Native AI Apps
Company: Microsoft
Location: Multiple Locations, Belgium
Job Type: Full-Time
Category: Cloud Architect
Date Posted: 2025-07-31
Experience Level: Mid-Senior Level (5-10 years)
Remote Status: Hybrid (up to 50% remote)

🚀 Role Summary

Drive platform health, adoption, and maturity for strategic accounts focusing on AI Applications.
Collaborate with multi-disciplinary teams to ensure customers achieve business value through Microsoft's products and services.
Leverage deep technical expertise and business acumen to remove technical obstacles and facilitate customer adoption.

📝 Enhancement Note: This role requires a strong balance between technical depth and business understanding, with a focus on driving customer success in the AI Applications domain.

💻 Primary Responsibilities

Technical Customer Engagement: Lead deep technical architecture discussions with customers, addressing their unique needs and challenges.
Issue Resolution: Work on design, build, and operations to remove technical blockers and facilitate customer adoption.
Collaboration: Collaborate with internal and external teams to develop pilots and oversee implementation projects.
Platform Health & Adoption: Drive platform health, adoption, and maturity by working closely with customers and understanding their business objectives.

📝 Enhancement Note: This role involves a high degree of customer interaction and requires strong communication skills to bridge technical and business aspects.

🎓 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: 5-10 years of experience in Enterprise IT and Cloud, with a strong focus on AI Applications and platform adoption.

Required Skills:

Proven expertise in Cloud Solutions (Azure, AWS, or GCP)
Deep understanding of AI Applications and AI transformation
Strong technical architecture and design skills
Excellent communication and collaboration skills
Proven ability to drive customer success and adoption
Strong business acumen and strategic thinking

Preferred Skills:

Experience with GitHub and other relevant Microsoft products and services
Familiarity with enterprise-level architecture and design patterns
Knowledge of Agile methodologies and DevOps practices
Experience with cloud security and compliance

📝 Enhancement Note: This role requires a broad set of skills, with a particular emphasis on AI Applications, enterprise IT experience, and business acumen.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate a strong track record of driving customer success and adoption in AI Applications.
Showcase your ability to design and implement resilient, scalable, and modern applications.
Highlight your experience in transforming customer cultures to embrace new development methodologies.

Technical Documentation:

Provide case studies or success stories demonstrating your impact on customer adoption and business value.
Showcase your understanding of platform health, adoption, and maturity by presenting relevant metrics and KPIs.
Include examples of your ability to collaborate with cross-functional teams to achieve customer success.

📝 Enhancement Note: This role requires a strong portfolio demonstrating your ability to drive customer success in AI Applications, with a focus on platform adoption and maturity.

💵 Compensation & Benefits

Salary Range: €80,000 - €120,000 per year (based on market research for Cloud Solution Architects in Belgium with 5-10 years of experience)

Benefits:

Competitive healthcare and insurance plans
Generous retirement savings plans
Employee stock purchase plan
Paid time off and holidays
Employee discounts on Microsoft products and services
Professional development opportunities and training

Working Hours: 40 hours per week, with flexible hours and remote work options available.

📝 Enhancement Note: The salary range is based on market research for similar roles in Belgium, with adjustments for experience level and regional cost of living.

🎯 Team & Company Context

🏢 Company Culture

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

Company Size: Over 17,000 employees worldwide, with a strong presence in Belgium.

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

Team Structure:

Multi-disciplinary teams focusing on strategic accounts for AI Applications.
Close collaboration with internal and external teams, including sales, marketing, and product development.
Flat hierarchy with a strong emphasis on empowerment and decision-making at the team level.

Development Methodology:

Agile methodologies, with a focus on customer success and continuous improvement.
Cross-functional collaboration and regular team syncs to ensure alignment and progress.

Company Website: Microsoft

📝 Enhancement Note: Microsoft's company culture emphasizes innovation, collaboration, and customer success, with a strong focus on empowering employees to achieve more.

📈 Career & Growth Analysis

Cloud Solution Architect Career Level: This role is at the mid-senior level, with a focus on driving customer success and adoption in AI Applications. It requires a strong balance between technical depth and business acumen.

Reporting Structure: This role reports directly to the team lead or manager, with a dotted line to the strategic accounts team.

Technical Impact: As a Cloud Solution Architect, you will have a significant impact on customer success and adoption, driving business value through Microsoft's products and services.

Growth Opportunities:

Technical Growth: Deepen your expertise in AI Applications, cloud computing, and enterprise architecture.
Leadership Growth: Develop your leadership skills by mentoring junior team members and driving team success.
Career Progression: Transition into more senior roles, such as Principal Cloud Solution Architect or Cloud Solutions Manager.

📝 Enhancement Note: This role offers significant growth opportunities, both in terms of technical expertise and leadership development.

🌐 Work Environment

Office Type: Modern, collaborative workspaces with a focus on employee well-being and productivity.

Office Location(s): Multiple locations in Belgium, with flexible remote work options available.

Workspace Context:

Collaboration: Open workspaces that encourage team interaction and collaboration.
Technology: State-of-the-art hardware and software, with a focus on Microsoft products and services.
Flexibility: Flexible work arrangements, including remote work and flexible hours.

Work Schedule: Flexible work schedule, with core hours between 10:00 AM and 4:00 PM, and the ability to work remotely up to 50% of the time.

📝 Enhancement Note: Microsoft's work environment emphasizes collaboration, flexibility, and employee well-being, with a strong focus on empowering employees to achieve more.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief call to discuss your experience and fit for the role.
Technical Deep Dive: A deep dive into your technical expertise, with a focus on AI Applications and cloud computing.
Customer Engagement Simulation: A role-play scenario to assess your ability to engage with customers and drive their success.
Final Interview: A meeting with the team lead or manager to discuss your fit for the role and the team.

Portfolio Review Tips:

Highlight your ability to drive customer success and adoption in AI Applications.
Showcase your understanding of platform health, adoption, and maturity by presenting relevant metrics and KPIs.
Include examples of your ability to collaborate with cross-functional teams to achieve customer success.

Technical Challenge Preparation:

Brush up on your knowledge of AI Applications, cloud computing, and enterprise architecture.
Prepare for scenario-based questions that focus on driving customer success and adoption.
Familiarize yourself with Microsoft's products and services, with a focus on Azure and GitHub.

ATS Keywords: (Organized by category)

Cloud Platforms: Azure, AWS, GCP
AI & Machine Learning: AI Applications, AI Transformation, Machine Learning, Deep Learning
Enterprise IT: Enterprise Architecture, Enterprise IT, Cloud Migration, Hybrid Cloud
Collaboration & Communication: Customer Engagement, Customer Success, Stakeholder Management, Teamwork
Leadership & Management: Strategic Thinking, Business Acumen, Decision-Making, Problem-Solving

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise, customer engagement skills, and cultural fit within the team.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

Azure (Primary)
AWS, GCP (Secondary)

AI & Machine Learning Tools:

Azure AI Platform (Primary)
TensorFlow, PyTorch, scikit-learn (Secondary)

Enterprise IT Tools:

Azure Active Directory, Azure Security Center, Azure Monitor (Primary)
Okta, Ping Identity, Splunk (Secondary)

Collaboration & Communication Tools:

Microsoft Teams, Outlook, SharePoint (Primary)
Slack, Google Workspace (Secondary)

📝 Enhancement Note: This role requires a strong understanding of Microsoft's products and services, with a focus on Azure, AI Applications, and enterprise IT.

👥 Team Culture & Values

Microsoft Values:

Customer Obsessed: We put customers first in everything we do.
One Microsoft: We collaborate and work together as one team.
Growth Mindset: We embrace a growth mindset and continuous learning.
Inclusive: We foster an inclusive culture where everyone can thrive.
One Microsoft: We collaborate and work together as one team.

Team Culture:

Collaborative: Our team emphasizes collaboration and cross-functional partnerships.
Customer-Focused: We prioritize customer success and adoption in everything we do.
Innovative: We embrace a growth mindset and continuous learning.
Empowering: We empower our team members to achieve more and drive customer success.

📝 Enhancement Note: Microsoft's team culture emphasizes collaboration, customer focus, innovation, and empowerment, with a strong commitment to fostering an inclusive environment.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Applications: Stay up-to-date with the latest trends and developments in AI Applications and AI transformation.
Enterprise IT: Navigate the complexities of enterprise-level architecture and design patterns.
Customer Engagement: Develop deep technical expertise and strong business acumen to drive customer success and adoption.

Learning & Development Opportunities:

AI & Machine Learning: Deepen your expertise in AI Applications, machine learning, and deep learning.
Enterprise IT: Expand your knowledge of enterprise-level architecture, design patterns, and cloud migration strategies.
Leadership & Management: Develop your leadership skills by mentoring junior team members and driving team success.

📝 Enhancement Note: This role presents significant technical challenges and growth opportunities, with a focus on AI Applications, enterprise IT, and customer engagement.

💡 Interview Preparation

Technical Questions:

AI Applications: Be prepared to discuss your experience with AI Applications and AI transformation, with a focus on driving customer success and adoption.
Enterprise IT: Demonstrate your understanding of enterprise-level architecture, design patterns, and cloud migration strategies.
Customer Engagement: Showcase your ability to engage with customers and drive their success, with a focus on platform health, adoption, and maturity.

Company & Culture Questions:

Microsoft Values: Be prepared to discuss how you embody Microsoft's core values in your work.
Team Culture: Demonstrate your understanding of Microsoft's team culture and how you would contribute to it.
Customer Success: Explain how you would drive customer success and adoption in AI Applications.

Portfolio Presentation Strategy:

Customer Success Stories: Highlight your ability to drive customer success and adoption in AI Applications by presenting relevant case studies or success stories.
Technical Deep Dive: Prepare for a deep dive into your technical expertise, with a focus on AI Applications and enterprise IT.
Platform Health & Adoption: Showcase your understanding of platform health, adoption, and maturity by presenting relevant metrics and KPIs.

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise, customer engagement skills, and cultural fit within the team, with a strong focus on AI Applications and enterprise IT.

📌 Application Steps

To apply for this Cloud Solution Architect - Cloud Native AI Apps position at Microsoft:

Customize Your Portfolio: Tailor your portfolio to highlight your experience driving customer success and adoption in AI Applications, with a focus on platform health, adoption, and maturity.
Optimize Your Resume: Highlight your relevant experience and skills, with a focus on AI Applications, enterprise IT, and customer engagement.
Prepare for Technical Interviews: Brush up on your knowledge of AI Applications, cloud computing, and enterprise architecture, and prepare for scenario-based questions that focus on driving customer success and adoption.
Research Microsoft: Familiarize yourself with Microsoft's products and services, with a focus on Azure and GitHub, and understand their commitment to customer success and empowerment.

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

Cloud Solution Architect - Cloud Native AI Apps