Cloud & AI Solution Engineer – Innovative AI Applications at Microsoft

📍 Job Overview

Job Title: Cloud & AI Solution Engineer – Innovative AI Applications
Company: Microsoft
Location: Bangkok, Krung Thep Maha Nakhon, Thailand
Job Type: Full-Time
Category: AI & Machine Learning Engineer
Date Posted: June 19, 2025
Experience Level: Mid-Senior level (2-5 years)
Remote Status: On-site (Remote OK)

🚀 Role Summary

Drive innovation in AI applications development across the development lifecycle using Microsoft's AI-powered stack and Azure AI.
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 enterprise AI developers to unlock the full potential of Microsoft's AI platform, boosting productivity and driving innovation.
Influence technical decisions, design secure and scalable solutions, and accelerate AI applications into customers' development workflows.

📝 Enhancement Note: This role focuses on cutting-edge AI applications, requiring a strong background in AI and machine learning, as well as a deep understanding of Microsoft's AI-powered stack and Azure AI.

💻 Primary Responsibilities

Solution Design & Architecture: Design secure, scalable, and innovative AI solutions tailored to customers' needs, leveraging Microsoft's AI-powered stack and Azure AI.
Customer Engagement: Collaborate with customers to understand their AI applications requirements and guide them through the development lifecycle, from PoCs to deployment.
Technical Advisory: Serve as a trusted technical advisor, influencing customers' technical decisions and helping them realize the full value of Microsoft's AI platform.
Innovation & Productivity: Drive innovation in AI applications development, streamlining workflows, and boosting productivity using AI agents and AI Foundry.
Collaboration & Knowledge Sharing: Work closely with cross-functional teams, share knowledge, and contribute to the growth of Microsoft's AI community.

📝 Enhancement Note: This role requires strong collaboration skills, as you'll work with various teams and customers to drive AI applications innovation and adoption.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. Relevant master's degree preferred.

Experience: 2-5 years of experience in AI applications development, with a strong focus on Microsoft's AI-powered stack and Azure AI.

Required Skills:

Proficient in AI and machine learning concepts, tools, and frameworks.
Deep understanding of Microsoft's AI-powered stack, Azure AI, and Responsible AI.
Strong solution design and architecture skills.
Excellent communication and presentation skills.
Proven ability to build and maintain strong customer relationships.
Experience with AI applications development lifecycle and workflows.

Preferred Skills:

Familiarity with AI Foundry and agentic AI development.
Experience with AI applications modernization and migration.
Knowledge of responsible AI practices and ethical AI development.
Familiarity with customer engagement and solution selling techniques.

📝 Enhancement Note: This role requires a strong technical background in AI and machine learning, with a focus on Microsoft's AI-powered stack and Azure AI. Relevant industry certifications would be a plus.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your proficiency in AI applications development using Microsoft's AI-powered stack and Azure AI.
Showcase your solution design and architecture skills through case studies and project examples.
Highlight your ability to drive innovation and productivity in AI applications development.
Include customer testimonials or success stories that showcase your impact as a trusted technical advisor.

Technical Documentation:

Document your AI applications development process, including data preparation, model training, deployment, and monitoring.
Include code comments, version control, and clear documentation of your development workflows.
Showcase your understanding of responsible AI practices and ethical AI development through your project documentation.

📝 Enhancement Note: As this role focuses on AI applications development, your portfolio should highlight your technical skills and ability to drive innovation and productivity in AI development using Microsoft's AI-powered stack and Azure AI.

💵 Compensation & Benefits

Salary Range: THB 1,200,000 - 1,800,000 per year (Based on market research and experience level)

Benefits:

Competitive salary and performance-based bonuses.
Comprehensive health benefits, including medical, dental, and vision coverage.
Retirement savings plans with company matching.
Generous time off, including vacation, sick leave, and holidays.
Employee stock purchase plan and other equity compensation programs.
Professional development opportunities, including training, conferences, and certifications.
A dynamic and inclusive work environment that fosters growth and innovation.

Working Hours: Full-time (40 hours/week), with flexible working hours and remote work opportunities.

📝 Enhancement Note: The salary range is estimated based on market research and experience level. Actual compensation may vary depending on the candidate's qualifications and the company's compensation structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software) Company Size: Large (200,000+ employees) Founded: 1975

Microsoft fosters a culture of innovation, collaboration, and continuous learning. Employees are encouraged to take risks, learn from failures, and drive impact through technology. The company values diversity, inclusion, and work-life balance, offering flexible work arrangements and a supportive work environment.

Team Structure:

Collaborative, cross-functional teams working on AI applications development, AI Foundry, and Azure AI.
Close collaboration with engineering leaders, platform teams, and customers.
A dynamic and inclusive team culture that values innovation, productivity, and customer success.

Development Methodology:

Agile development methodologies, with a focus on iterative development, customer feedback, and continuous improvement.
Collaboration and knowledge sharing through regular team meetings, code reviews, and hackathons.
A strong focus on responsible AI practices and ethical AI development.

Company Website: Microsoft Careers

📝 Enhancement Note: Microsoft's culture emphasizes innovation, collaboration, and continuous learning, providing an ideal environment for AI applications development and growth.

📈 Career & Growth Analysis

AI Applications Engineer Career Level: Mid-Senior level (2-5 years)

In this role, you'll serve as a trusted technical advisor, guiding customers through secure, scalable solution design and accelerating AI applications development into their deployment workflows.
You'll have the opportunity to drive innovation in AI applications development, influence technical decisions, and contribute to the growth of Microsoft's AI community.
This role offers excellent growth opportunities, including technical leadership, architecture, and management roles within Microsoft's AI applications and Azure AI teams.

Reporting Structure: This role reports directly to the AI Applications Engineering Manager, with close collaboration with cross-functional teams, engineering leaders, and platform teams.

Technical Impact: In this role, you'll have a significant impact on Microsoft's AI applications development efforts, driving innovation, productivity, and customer success. You'll influence technical decisions, design secure and scalable solutions, and accelerate AI applications development into customers' workflows.

📝 Enhancement Note: This role offers excellent growth opportunities within Microsoft's AI applications and Azure AI teams, allowing you to drive innovation and make a significant impact on the company's AI development efforts.

🌐 Work Environment

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

Office Location(s): Bangkok, Thailand (with remote work opportunities)

Workspace Context:

Collaborative workspaces with open floor plans, encouraging teamwork and knowledge sharing.
Access to cutting-edge technology, tools, and resources for AI applications development.
A dynamic and inclusive work environment that fosters growth, innovation, and continuous learning.

Work Schedule: Full-time (40 hours/week), with flexible working hours and remote work opportunities.

📝 Enhancement Note: Microsoft's work environment fosters collaboration, innovation, and continuous learning, providing an ideal setting for AI applications development and growth.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen (30 minutes): A brief conversation to assess your communication skills, technical background, and cultural fit.
Technical Deep Dive (60 minutes): A hands-on discussion focused on your AI applications development experience, solution design skills, and understanding of Microsoft's AI-powered stack and Azure AI.
Customer Engagement Scenario (45 minutes): A role-play exercise where you'll demonstrate your ability to engage with customers, understand their needs, and design secure, scalable AI solutions.
Final Interview (30 minutes): A conversation with the hiring manager to discuss your career goals, growth opportunities, and fit within the team.

Portfolio Review Tips:

Highlight your AI applications development experience, focusing on projects that demonstrate your solution design, architecture, and customer engagement skills.
Showcase your understanding of Microsoft's AI-powered stack, Azure AI, and responsible AI practices.
Include customer testimonials or success stories that illustrate your impact as a trusted technical advisor.

Technical Challenge Preparation:

Brush up on your AI and machine learning concepts, tools, and frameworks.
Familiarize yourself with Microsoft's AI-powered stack, Azure AI, and Responsible AI.
Prepare for hands-on exercises and case studies that focus on AI applications development, solution design, and customer engagement.

ATS Keywords: (Organized by category)

AI & Machine Learning: AI, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Computer Vision, Reinforcement Learning, AI Applications, AI Foundry, Azure AI, Responsible AI
Development Tools: Python, TensorFlow, PyTorch, Keras, Scikit-learn, Jupyter Notebooks, Git, Azure Machine Learning, Azure AI Platform
Solution Design & Architecture: Solution Architecture, Scalable Solutions, Secure Solutions, AI Applications Development Lifecycle, AI Workflows, AI Agents
Customer Engagement: Customer Success, Customer Relationship Management, Technical Advisory, Solution Selling, Customer Engagement Strategies
Soft Skills: Communication, Presentation, Collaboration, Teamwork, Problem-Solving, Innovation, Productivity

📝 Enhancement Note: The interview process for this role focuses on assessing your AI applications development experience, solution design skills, and customer engagement abilities. Prepare for hands-on exercises, case studies, and role-play scenarios that emphasize these aspects.

🛠 Technology Stack & Web Infrastructure

AI & Machine Learning Tools:

Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras)
Jupyter Notebooks
Azure Machine Learning
Azure AI Platform
Responsible AI Toolkit

Solution Design & Architecture Tools:

Microsoft Visio
Azure Architecture Center
Azure AI Solution Accelerators
AI Foundry

Customer Engagement Tools:

Microsoft Dynamics 365
Customer Relationship Management (CRM) software
Salesforce (if applicable)

📝 Enhancement Note: This role requires proficiency in AI and machine learning tools, as well as solution design and architecture tools tailored to Microsoft's AI-powered stack and Azure AI.

👥 Team Culture & Values

AI Applications Development Values:

Innovation: Embrace a growth mindset and continuously explore new AI applications development techniques and tools.
Customer Obsessed: Focus on understanding and addressing customer needs, driving customer success through AI applications development.
One Microsoft: Collaborate effectively with cross-functional teams, engineering leaders, and platform teams to drive AI applications development and customer success.
Trustworthy Computing: Uphold responsible AI practices and ethical AI development, ensuring the security, privacy, and reliability of AI applications.

Collaboration Style:

Cross-Functional Collaboration: Work closely with various teams, including engineering, platform, design, marketing, and sales, to drive AI applications development and customer success.
Knowledge Sharing: Actively share your expertise and learn from others to foster a culture of continuous learning and growth.
Customer-Centric: Focus on understanding and addressing customer needs, driving customer success through AI applications development.

📝 Enhancement Note: Microsoft's AI applications development team values innovation, customer obsession, and collaboration, fostering a dynamic and inclusive work environment that drives AI applications development and customer success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Applications Development: Stay up-to-date with the latest AI and machine learning trends, tools, and frameworks to drive innovation in AI applications development.
Solution Design & Architecture: Design secure, scalable, and innovative AI solutions tailored to customers' needs, leveraging Microsoft's AI-powered stack and Azure AI.
Customer Engagement: Develop and refine your customer engagement strategies to better understand and address customer needs, driving customer success through AI applications development.

Learning & Development Opportunities:

Technical Skills Development: Expand your AI and machine learning skills through training, workshops, conferences, and online courses.
Career Growth: Pursue technical leadership, architecture, or management roles within Microsoft's AI applications and Azure AI teams.
Community Involvement: Engage with Microsoft's AI community, contributing to open-source projects, blog posts, and technical forums to expand your network and knowledge.

📝 Enhancement Note: This role presents numerous technical challenges and growth opportunities, allowing you to drive innovation in AI applications development, influence technical decisions, and contribute to Microsoft's AI community.

💡 Interview Preparation

Technical Questions:

AI & Machine Learning Concepts: Brush up on your AI and machine learning concepts, tools, and frameworks, with a focus on Microsoft's AI-powered stack, Azure AI, and Responsible AI.
Solution Design & Architecture: Prepare for questions about solution design, architecture, and secure, scalable AI solutions tailored to customers' needs.
Customer Engagement: Rehearse your customer engagement strategies, focusing on understanding and addressing customer needs, driving customer success through AI applications development.

Company & Culture Questions:

Research Microsoft's mission, values, and culture, focusing on innovation, collaboration, and continuous learning.
Prepare questions for the hiring manager about the team's dynamics, growth opportunities, and the company's AI applications development efforts.

Portfolio Presentation Strategy:

Storytelling: Craft a compelling narrative around your AI applications development experience, highlighting your solution design, architecture, and customer engagement skills.
Demonstration: Prepare live demos of your AI applications development projects, showcasing your technical skills and ability to drive innovation and productivity.
Q&A: Anticipate and prepare for questions about your portfolio, focusing on your technical approach, customer engagement strategies, and growth opportunities.

📝 Enhancement Note: The interview process for this role focuses on assessing your AI applications development experience, solution design skills, and customer engagement abilities. Prepare for technical questions, company and culture questions, and a compelling portfolio presentation strategy.

📌 Application Steps

To apply for this Cloud & AI Solution Engineer – Innovative AI Applications position at Microsoft:

Tailor Your Resume: Highlight your AI applications development experience, solution design skills, and customer engagement abilities, focusing on Microsoft's AI-powered stack, Azure AI, and Responsible AI.
Prepare Your Portfolio: Curate a portfolio that showcases your AI applications development projects, solution design, architecture, and customer engagement skills, with a focus on Microsoft's AI-powered stack and Azure AI.
Research the Company: Familiarize yourself with Microsoft's mission, values, and culture, focusing on innovation, collaboration, and continuous learning.
Prepare for the Interview: Brush up on your AI and machine learning concepts, tools, and frameworks, with a focus on Microsoft's AI-powered stack, Azure AI, and Responsible AI. Prepare for hands-on exercises, case studies, and role-play scenarios that emphasize your AI applications development experience, solution design skills, and customer engagement abilities.

⚠️ 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 & AI Solution Engineer – Innovative AI Applications