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: Bangkok, Krung Thep Maha Nakhon, Thailand
Job Type: Full-Time
Category: Solution Engineering - Cloud & AI
Date Posted: 2025-07-08

🚀 Role Summary

Microsoft is transforming the developer experience by embedding AI across the software development lifecycle. As a Software Solution Engineer - Cloud & AI, you will help enterprise developers understand the value of Microsoft's AI-powered developer stack, including GitHub, Visual Studio, and Azure AI. You will work directly with engineering leaders and platform teams to accelerate these tools through hands-on engagements, guiding customers through secure and scalable solution design, and influencing technical decisions.

📝 Enhancement Note: This role requires a strong technical background in application development and AI integration to effectively guide customers in modernizing their software development lifecycle.

💻 Primary Responsibilities

Solution Design & Architecture: Collaborate with customers to design and architect secure, scalable solutions using Microsoft's AI-powered developer stack.
Customer Engagement: Work directly with engineering leaders and platform teams to accelerate GitHub, Visual Studio, and Azure AI through hands-on engagements like Proof of Concepts, hackathons, and code-with sessions.
Technical Sales & Advisory: Serve as a trusted technical advisor, helping customers understand the value of Microsoft's AI-powered developer stack and influencing their technical decisions.
AI Integration: Guide customers in integrating AI into their development workflows, boosting productivity and modernizing their SDLC.
Cross-Functional Collaboration: Work closely with Microsoft's engineering teams to gather feedback, align roadmaps, and ensure customer success.

📝 Enhancement Note: This role involves a high degree of customer interaction and technical problem-solving, requiring strong communication skills and a deep understanding of application development and AI.

🎓 Skills & Qualifications

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

Experience: Proven experience (2-5 years) in application development, software engineering, or a similar role, with a strong focus on AI integration and enterprise solutions.

Required Skills:

Proficiency in application development and software engineering principles.
Strong understanding of AI and machine learning concepts.
Experience with GitHub, Visual Studio, and Azure AI.
Excellent communication, presentation, and interpersonal skills.
Ability to understand and explain complex technical concepts to non-technical stakeholders.
Experience in solution design, architecture, and technical sales.
Familiarity with enterprise software development lifecycle (SDLC) processes.

Preferred Skills:

Experience with cloud platforms (e.g., AWS, GCP, or Azure).
Knowledge of DevSecOps principles and practices.
Familiarity with Agile methodologies and software development best practices.
Experience with customer success or account management.

📝 Enhancement Note: Given the technical nature of this role, candidates should have a strong background in application development and AI integration, with a proven track record in enterprise solutions.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your proficiency in application development and AI integration through relevant projects in your portfolio.
Include case studies or success stories showcasing your ability to guide customers in modernizing their SDLC using Microsoft's AI-powered developer stack.
Highlight your technical sales and solution design skills through presentations or demos.

Technical Documentation:

Document your approach to solution design, architecture, and AI integration in your projects.
Include any relevant customer feedback or success metrics to demonstrate the impact of your work.
Showcase your understanding of enterprise SDLC processes and how you've applied them in your projects.

📝 Enhancement Note: As this role involves customer-facing technical sales and solution design, your portfolio should emphasize your ability to understand and address customer needs, as well as your technical expertise in application development and AI integration.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Bangkok, Thailand is THB 600,000 - 1,200,000 per year (USD 18,000 - 36,000), based on experience and qualifications. This estimate is derived from regional market research and industry standards for solution engineering roles with a focus on AI and cloud technologies.

Benefits: Microsoft offers a comprehensive benefits package, including health insurance, retirement plans, and employee stock purchase plans. Additionally, Microsoft provides opportunities for professional development, including training and certification programs.

Working Hours: The standard workweek is 40 hours, with flexibility for project deadlines and customer needs. Some evening and weekend work may be required to accommodate customer time zones.

📝 Enhancement Note: Salary estimates are based on regional market research and industry standards for solution engineering roles with a focus on AI and cloud technologies. Actual salary offers may vary based on individual qualifications and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, with a strong focus on software development, cloud computing, and AI. This role will involve working closely with Microsoft's engineering teams to gather feedback, align roadmaps, and ensure customer success.

Company Size: Microsoft is a large, multinational corporation with a global presence. This size provides opportunities for career growth and exposure to diverse projects and teams.

Founded: Microsoft was founded in 1975 by Bill Gates and Paul Allen. The company has a rich history of innovation and has played a significant role in shaping the technology industry.

Team Structure: The Software Solution Engineering team is part of Microsoft's Cloud & AI group, working closely with engineering teams across the organization. The team is structured to provide technical expertise and guidance to enterprise customers, helping them modernize their SDLC using Microsoft's AI-powered developer stack.

Development Methodology: Microsoft follows Agile development methodologies, with a focus on iterative development, customer feedback, and continuous improvement. The company encourages a culture of innovation and experimentation, with a strong emphasis on learning and growth.

Company Website: Microsoft Careers

📝 Enhancement Note: Microsoft's company culture emphasizes innovation, collaboration, and customer focus. This role will involve working closely with customers and internal teams to drive technical solutions and customer success.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior individual contributor level, requiring a strong technical background in application development and AI integration. The role offers opportunities for career growth through technical leadership, customer success, and solution design.

Reporting Structure: This role reports directly to the Software Solution Engineering Manager, with a dotted line to the relevant engineering teams for technical guidance and collaboration.

Technical Impact: As a Software Solution Engineer, you will have a significant impact on Microsoft's customers, helping them modernize their SDLC using Microsoft's AI-powered developer stack. You will work closely with engineering teams to gather feedback, align roadmaps, and ensure customer success.

Growth Opportunities:

Technical Leadership: As you gain experience and expertise in the role, you may have the opportunity to take on a technical leadership position, guiding other solution engineers and influencing Microsoft's AI-powered developer stack.
Customer Success: By driving customer success and building strong relationships with enterprise customers, you can open up opportunities for career growth within Microsoft's sales and customer success organizations.
Solution Architecture: As you deepen your understanding of Microsoft's AI-powered developer stack and enterprise SDLC processes, you may have the opportunity to take on more complex solution architecture challenges.

📝 Enhancement Note: This role offers significant opportunities for career growth through technical leadership, customer success, and solution design. Candidates should be eager to take on new challenges and continuously learn and develop their skills.

🌐 Work Environment

Office Type: Microsoft's office in Bangkok is a modern, collaborative workspace designed to foster innovation and collaboration. The office features open workspaces, meeting rooms, and breakout areas for team collaboration and brainstorming.

Office Location(s): Microsoft's office in Bangkok is located in the heart of the city, with easy access to public transportation and amenities. The office is designed to be accessible and inclusive, with features such as wheelchair access and assistive technologies.

Workspace Context:

Collaborative Workspace: The office features open workspaces designed to encourage collaboration and teamwork. The layout is flexible, with a mix of individual workstations and shared spaces for team meetings and brainstorming sessions.
Modern Technology: The office is equipped with modern technology, including high-speed internet, video conferencing equipment, and collaboration tools like Microsoft Teams.
Flexible Work Arrangement: Microsoft offers flexible work arrangements, including remote work and flexible hours, to accommodate employees' needs and preferences.

Work Schedule: The standard workweek is 40 hours, with flexibility for project deadlines and customer needs. Some evening and weekend work may be required to accommodate customer time zones.

📝 Enhancement Note: Microsoft's office in Bangkok is designed to be a collaborative, inclusive workspace that supports the needs of its employees and customers. The office features modern technology and flexible work arrangements to accommodate employees' needs and preferences.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss your background, experience, and fit for the role.
Technical Deep Dive: A technical conversation focused on your application development and AI integration experience, as well as your understanding of Microsoft's AI-powered developer stack.
Customer Engagement Simulation: A role-play exercise simulating a customer engagement, where you will demonstrate your ability to understand and address customer needs, as well as your technical sales and solution design skills.
Final Interview: A conversation with the hiring manager to discuss your fit for the role, career aspirations, and next steps.

Portfolio Review Tips:

Demonstrate Your Expertise: Highlight your proficiency in application development and AI integration through relevant projects in your portfolio.
Showcase Your Customer Focus: Include case studies or success stories that demonstrate your ability to understand and address customer needs.
Explain Your Approach: Document your approach to solution design, architecture, and AI integration in your projects, and be prepared to explain your decisions and rationale.

Technical Challenge Preparation:

Brush Up on Your Technical Skills: Review your knowledge of application development, AI integration, and Microsoft's AI-powered developer stack in preparation for the technical deep dive.
Practice Your Communication Skills: Prepare for the customer engagement simulation by practicing your communication and presentation skills, and thinking through how you would approach a customer engagement in this role.
Research Microsoft's AI-Powered Developer Stack: Familiarize yourself with Microsoft's AI-powered developer stack, including GitHub, Visual Studio, and Azure AI, and be prepared to discuss how you would leverage these tools to drive customer success.

ATS Keywords: Application Development, AI Integration, Technical Sales, Solution Design, DevSecOps, Software Development Lifecycle, GitHub, Visual Studio, Azure AI, Architecture Workshops, Proof of Concepts, Hackathons, Code-with Sessions, Customer Engagement, Productivity Boost, Enterprise Solutions

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise in application development and AI integration, as well as your customer focus, communication skills, and ability to drive technical solutions. Candidates should be prepared to demonstrate their expertise and fit for the role through a combination of technical discussions, role-play exercises, and portfolio presentations.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable to this role.

Backend & Server Technologies:

Azure AI: Familiarity with Azure AI services, including Azure Machine Learning, Azure Cognitive Services, and Azure AI Foundry.
GitHub: Proficiency in using GitHub for version control, collaboration, and code review.
Visual Studio: Experience with Visual Studio for application development and debugging.

Development & DevOps Tools:

Azure DevOps: Familiarity with Azure DevOps for project management, continuous integration, and continuous deployment.
Azure Pipelines: Experience with Azure Pipelines for automated deployment and infrastructure as code.
Azure Monitor: Familiarity with Azure Monitor for application performance monitoring and diagnostics.

📝 Enhancement Note: This role requires a strong understanding of Microsoft's AI-powered developer stack, including Azure AI, GitHub, and Visual Studio. Candidates should be familiar with these tools and be prepared to discuss how they would leverage them to drive customer success.

👥 Team Culture & Values

Web Development Values: Not applicable to this role.

Collaboration Style:

Cross-Functional Collaboration: The Software Solution Engineering team works closely with Microsoft's engineering teams to gather feedback, align roadmaps, and ensure customer success.
Customer-Centric: The team is focused on understanding and addressing customer needs, with a strong emphasis on customer success.
Innovation: The team encourages a culture of innovation and experimentation, with a strong emphasis on learning and growth.

📝 Enhancement Note: The Software Solution Engineering team at Microsoft is focused on customer success and innovation, with a strong emphasis on cross-functional collaboration and learning. Candidates should be eager to work closely with customers and internal teams to drive technical solutions and customer success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Enterprise SDLC: Understanding and navigating the complexities of enterprise SDLC processes.
AI Integration: Helping customers integrate AI into their development workflows, boosting productivity and modernizing their SDLC.
Customer Engagement: Building and maintaining strong relationships with enterprise customers, understanding their needs, and driving technical solutions.

Learning & Development Opportunities:

Microsoft Technologies: Deepening your understanding of Microsoft's AI-powered developer stack, including Azure AI, GitHub, and Visual Studio.
Enterprise Solutions: Gaining experience in enterprise solutions and SDLC processes.
Technical Sales & Solution Design: Developing your skills in technical sales and solution design, with a focus on driving customer success.

📝 Enhancement Note: This role presents significant technical challenges and learning opportunities, with a focus on enterprise SDLC, AI integration, and customer engagement. Candidates should be eager to take on new challenges and continuously learn and develop their skills.

💡 Interview Preparation

Technical Questions:

AI Integration: Be prepared to discuss your experience with AI integration and how you would help customers integrate AI into their development workflows.
Enterprise SDLC: Demonstrate your understanding of enterprise SDLC processes and how you would navigate the complexities of these processes to drive customer success.
Microsoft Technologies: Showcase your proficiency in Microsoft's AI-powered developer stack, including Azure AI, GitHub, and Visual Studio.

Company & Culture Questions:

Customer Focus: Explain how you would understand and address customer needs in this role, and how you would build and maintain strong customer relationships.
Innovation: Discuss your approach to innovation and experimentation, and how you would drive technical solutions and customer success in this role.
Collaboration: Describe your experience with cross-functional collaboration and how you would work closely with Microsoft's engineering teams to gather feedback, align roadmaps, and ensure customer success.

Portfolio Presentation Strategy:

Demonstrate Your Expertise: Highlight your proficiency in application development and AI integration through relevant projects in your portfolio.
Showcase Your Customer Focus: Include case studies or success stories that demonstrate your ability to understand and address customer needs.
Explain Your Approach: Document your approach to solution design, architecture, and AI integration in your projects, and be prepared to explain your decisions and rationale.

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise in application development and AI integration, as well as your customer focus, communication skills, and ability to drive technical solutions. Candidates should be prepared to demonstrate their expertise and fit for the role through a combination of technical discussions, role-play exercises, and portfolio presentations.

📌 Application Steps

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

Submit Your Application: Visit the Microsoft Careers website and search for the job title "Cloud & AI Solution Engineer - Software, Development Tools and AI." Click on the job listing and follow the instructions to submit your application.
Prepare Your Portfolio: Tailor your portfolio to highlight your proficiency in application development and AI integration, as well as your customer focus and technical sales skills. Include case studies or success stories that demonstrate your ability to understand and address customer needs.
Research Microsoft: Familiarize yourself with Microsoft's AI-powered developer stack, including Azure AI, GitHub, and Visual Studio. Understand Microsoft's company culture, values, and approach to innovation and customer success.
Prepare for Technical Deep Dive and Customer Engagement Simulation: Brush up on your technical skills, particularly in application development, AI integration, and Microsoft's AI-powered developer stack. Practice your communication and presentation skills, and think through how you would approach a customer engagement in this role.
Prepare for Final Interview: Reflect on your fit for the role, career aspirations, and next steps. Be prepared to discuss your technical expertise, customer focus, and ability to drive technical solutions and customer success.

⚠️ 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