Solution Engineer - Cloud & AI - Apps

📍 Job Overview

• Job Title: Solution Engineer - Cloud & AI - Apps
• Company: Microsoft
• Location: Doha, Ad Dawḩah, Qatar
• Job Type: Full-Time
• Category: Cloud & AI Solution Engineer
• Date Posted: June 13, 2025
• Experience Level: Mid-Senior level (2-5 years of experience)

🚀 Role Summary

• 📝 Enhancement Note: This role is part of Microsoft's innovative AI applications team, focusing on driving productivity and innovation through AI adoption. The role requires a strong background in AI, cloud technologies, and a passion for driving customer success.

💻 Primary Responsibilities

• 📝 Enhancement Note: As a Cloud & AI Solution Engineer, you will be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. You will collaborate with cross-functional teams to deliver AI solutions that meet customer needs and exceed expectations.

1. 🌟 Drive AI adoption and innovation: Work closely with customers to adopt Microsoft's AI-powered stack across the development lifecycle, accelerating AI Foundry, Azure AI, and Responsible AI.
2. 🤝 Collaborate with engineering leaders and platform teams: Accelerate AI development through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops.
3. 🔒 Guide customers through secure, scalable solution design: Influence technical decisions and accelerate AI applications and agents into customers' development workflows.
4. 🚀 Modernize applications and realize full value of Microsoft's AI platform: Help customers modernize their applications and realize the full value of Microsoft's AI platform by leveraging AI and AI agents.
5. 🌐 Work in a flexible, hybrid environment: Enjoy flexible work opportunities while collaborating with a diverse, global team.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Artificial Intelligence, or a related field. Relevant master's degree is a plus.

Experience: Proven experience (2-5 years) in AI, cloud technologies, and driving customer success in a technical role.

Required Skills:

• 🌐 Cloud and AI technologies: Proficiency in cloud platforms (Azure, AWS, or GCP) and AI technologies (ML, deep learning, NLP, etc.).
• 💡 Solution design and architecture: Strong problem-solving skills and experience in designing and deploying scalable AI solutions.
• 🤝 Collaboration and communication: Excellent communication skills and the ability to work effectively with cross-functional teams and customers.
• 📊 Customer engagement: Proven ability to understand customer needs and drive customer success through AI adoption.

Preferred Skills:

• 🌟 Industry-specific domain knowledge: Experience in specific industries (e.g., finance, healthcare, retail) is a plus.
• 📊 Data analysis and visualization: Familiarity with data analysis tools and techniques to drive informed decision-making.
• 📚 Continuous learning: A strong desire to stay up-to-date with the latest AI technologies and trends.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• 🌟 AI project case studies: Highlight AI projects that demonstrate your ability to drive customer success and deliver innovative solutions.
• 🌐 Cloud architecture diagrams: Include diagrams that illustrate your understanding of cloud architecture and AI integration.
• 📊 Data visualization: Showcase your ability to present complex data in an easily understandable format.

Technical Documentation:

• 📜 Code quality and documentation: Demonstrate your commitment to code quality, commenting, and documentation standards.
• 📐 Version control and deployment processes: Highlight your experience with version control systems, deployment processes, and server configuration.
• 📈 Testing methodologies: Showcase your understanding of testing methodologies, performance metrics, and optimization techniques.

💵 Compensation & Benefits

Salary Range: The salary range for this role in Doha, Qatar, is approximately QAR 25,000 - 40,000 per month, based on industry standards and cost of living adjustments.

Benefits:

• 🌟 Competitive benefits package: Microsoft offers a comprehensive benefits package, including health, vision, and dental insurance, retirement savings plans, and employee stock purchase plans.
• 📚 Professional development: Enjoy access to learning resources, training programs, and career development opportunities.
• 🏢 Work-life balance: Benefit from flexible work arrangements, paid time off, and wellness programs to support a healthy work-life balance.
• 🌐 Global network: Join a diverse, global team and collaborate with colleagues across various locations and time zones.

Working Hours: Full-time position with a standard 40-hour workweek, with flexible hours and remote work options available.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, focusing on developing and delivering innovative software, services, and platforms that empower people and organizations worldwide.

Company Size: As a large, multinational corporation, Microsoft offers extensive resources, diverse teams, and ample opportunities for career growth and development.

Founded: Microsoft was founded in 1975 by Bill Gates and Paul Allen and has since grown into one of the world's leading technology companies.

Team Structure:

• 🌐 AI & Apps team: Work within a dynamic, cross-functional team focused on driving AI adoption and innovation in applications development.
• 🤝 Collaborative environment: Engage with various teams, including engineering, product, design, and marketing, to deliver end-to-end AI solutions.
• 🌟 Global team: Collaborate with a diverse, global team of AI and cloud experts to drive customer success and innovation.

Development Methodology:

• 🔄 Agile methodologies: Leverage Agile methodologies, such as Scrum, to manage projects and drive continuous improvement.
• 📈 Data-driven decision-making: Utilize data analysis and visualization tools to inform decision-making and optimize AI solutions.
• 🌐 Cross-functional collaboration: Work closely with design, marketing, and business teams to ensure AI solutions meet customer needs and market demands.

Company Website: https://www.microsoft.com

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior level, focusing on driving AI adoption, solution design, and customer success. It requires a strong background in AI, cloud technologies, and a proven track record in driving customer success.

Reporting Structure: As a Cloud & AI Solution Engineer, you will report directly to the AI & Apps team lead and collaborate closely with engineering, product, and design teams.

Technical Impact: In this role, you will have a significant impact on AI adoption, solution design, and customer success. Your work will drive innovation, boost productivity, and help customers realize the full value of Microsoft's AI platform.

Growth Opportunities:

• 🌟 Technical leadership: Develop your technical leadership skills by guiding customers through complex AI projects and driving team success.
• 📚 Continuous learning: Stay up-to-date with the latest AI technologies, trends, and best practices to drive continuous professional growth.
• 🌐 Global exposure: Gain experience working with a diverse, global team and collaborating with customers across various industries and regions.

🌐 Work Environment

Office Type: Microsoft's offices are modern, collaborative workspaces designed to foster innovation and creativity.

Office Location(s): Microsoft's headquarters are located in Redmond, Washington, USA, with regional offices and satellite campuses worldwide. The specific office location for this role is in Doha, Qatar.

Workspace Context:

• 🌟 Collaborative workspace: Enjoy a collaborative workspace with access to cutting-edge technology, tools, and resources to drive AI innovation.
• 📈 Data visualization tools: Leverage data visualization tools to present complex data and drive informed decision-making.
• 🤝 Cross-functional collaboration: Collaborate with various teams, including engineering, design, and marketing, to deliver end-to-end AI solutions.

Work Schedule: Full-time position with a standard 40-hour workweek, with flexible hours and remote work options available.

📄 Application & Technical Interview Process

Interview Process:

• 🌟 Technical assessment: Demonstrate your technical proficiency through hands-on coding challenges, system design discussions, and architecture workshops.
• 🤝 Cultural fit assessment: Showcase your ability to work effectively within a diverse, global team and drive customer success through AI adoption.
• 🎯 Final evaluation: Based on your performance in technical assessments, cultural fit, and alignment with Microsoft's mission and values, you will be evaluated for the role.

Portfolio Review Tips:

• 🌟 Highlight AI project case studies: Showcase your ability to drive customer success and deliver innovative AI solutions through real-world project examples.
• 📊 Present data-driven insights: Use data visualization tools to present complex data and demonstrate your ability to drive informed decision-making.
• 🌐 Emphasize cloud architecture and AI integration: Highlight your understanding of cloud architecture and AI integration to demonstrate your technical proficiency.

Technical Challenge Preparation:

• 🌟 Familiarize yourself with Microsoft's AI stack: Brush up on Microsoft's AI offerings, including Azure AI, AI Foundry, and Responsible AI.
• 📊 Practice data analysis and visualization: Enhance your skills in data analysis and visualization to present complex data effectively.
• 🤝 Prepare for collaborative interviews: Rehearse your ability to work effectively within a diverse, global team and drive customer success through AI adoption.

ATS Keywords: (Organized by category)

• Programming Languages: Python, R, Java, C#, C++, JavaScript, TypeScript
• Web Frameworks: React, Angular, Vue.js, Node.js
• Cloud Platforms: Azure, AWS, GCP
• AI Technologies: Machine Learning, Deep Learning, NLP, Computer Vision, Reinforcement Learning
• Databases: SQL Server, Azure Cosmos DB, MongoDB, PostgreSQL
• Tools: JIRA, Azure DevOps, Git, Docker, Kubernetes
• Methodologies: Agile, Scrum, Kanban, CI/CD, DevOps, MLOps
• Soft Skills: Communication, Collaboration, Problem-Solving, Customer Success, Leadership
• Industry Terms: AI Adoption, AI Foundry, Azure AI, Responsible AI, Cloud Architecture, Data Analysis, Data Visualization

📌 Application Steps

To apply for this Cloud & AI Solution Engineer role at Microsoft:

1. 🌟 Customize your portfolio: Highlight AI project case studies, cloud architecture diagrams, and data visualization examples that demonstrate your ability to drive customer success and deliver innovative AI solutions.
2. 📚 Optimize your resume: Emphasize your technical skills, AI project experience, and customer success stories to showcase your qualifications for the role.
3. 🌟 Prepare for technical interviews: Familiarize yourself with Microsoft's AI stack, practice data analysis and visualization, and prepare for collaborative interviews focused on AI adoption and customer success.
4. 📚 Research Microsoft: Understand Microsoft's mission, values, and culture to ensure a strong fit with the company and the AI & Apps team.

📝 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.