Cloud & AI Solution Engineer – Innovative AI Applications at Microsoft

📍 Job Overview

Job Title: Cloud & AI Solution Engineer – Innovative AI Applications
Company: Microsoft
Location: Kuwait City, Al ‘Āşimah, Kuwait
Job Type: Full-Time
Category: DevOps Engineer
Date Posted: June 13, 2025
Experience Level: Mid-Senior level (2-5 years)
Remote Status: On-site (Remote OK)

🚀 Role Summary

AI Applications Focus: Drive innovation and productivity for enterprise AI developers by unlocking Microsoft's AI-powered stack across the development lifecycle.
Solution Design & Deployment: 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.
Customer Guidance: Guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows.
Modernization & Value Realization: Help customers modernize their applications leveraging AI and realize the full value of Microsoft's AI platform.

📝 Enhancement Note: This role requires a strong balance of technical depth in AI applications and solution design, along with exceptional customer-facing skills to drive customer success and adoption of Microsoft's AI platform.

💻 Primary Responsibilities

AI Applications Expertise: Leverage your deep understanding of AI applications to provide technical guidance and accelerate development workflows for enterprise AI developers.
Solution Design & Architecture: Collaborate with customers and internal teams to design and architect secure, scalable AI solutions tailored to their unique needs.
Customer Engagement: Build strong relationships with customers, understand their challenges, and provide tailored solutions that drive business value through AI adoption.
Innovation & Problem Solving: Stay up-to-date with the latest AI trends and technologies, and apply this knowledge to solve complex customer challenges and drive innovation.
Cross-Functional Collaboration: Work closely with various internal teams, such as engineering, sales, and marketing, to ensure customer success and alignment with Microsoft's AI strategy.

📝 Enhancement Note: This role requires a high degree of adaptability and flexibility, as you'll need to balance technical depth with customer-facing responsibilities and collaborate effectively with diverse internal teams.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Artificial Intelligence, or a related field. A master's degree would be an asset.

Experience: 2-5 years of experience in AI applications development, solution architecture, or a related role. Proven experience working with enterprise customers and driving AI adoption.

Required Skills:

Proficient in AI applications development and deployment using Microsoft's AI-powered stack (Azure AI, AI Foundry, Responsible AI, etc.).
Strong solution design and architecture skills, with a focus on security and scalability.
Excellent customer-facing skills, with the ability to understand customer needs and provide tailored solutions.
Strong problem-solving skills and a growth mindset, with a passion for learning and innovation.
Experience working with enterprise customers and driving AI adoption in complex environments.
Strong collaboration and communication skills, with the ability to work effectively with diverse teams.

Preferred Skills:

Experience with AI agent development and deployment.
Familiarity with agile development methodologies and DevOps practices.
Knowledge of cloud infrastructure and deployment best practices.
Experience with responsible AI principles and ethical AI development.

📝 Enhancement Note: While this role requires a strong technical background in AI applications, it also places a high emphasis on customer-facing skills and the ability to build strong relationships with enterprise customers.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A strong portfolio showcasing your AI applications development work, including case studies demonstrating your ability to drive business value through AI adoption.
Examples of your solution design and architecture work, highlighting your ability to create secure, scalable AI solutions tailored to customer needs.
Evidence of your customer-facing skills, such as testimonials or success stories demonstrating your ability to build strong relationships with enterprise customers and drive AI adoption.

Technical Documentation:

Detailed technical documentation outlining your approach to AI applications development, solution design, and deployment.
Case studies demonstrating your ability to solve complex customer challenges and drive innovation through AI adoption.
Evidence of your commitment to responsible AI principles and ethical AI development practices.

📝 Enhancement Note: Given the customer-facing nature of this role, your portfolio should emphasize your ability to understand customer needs and provide tailored solutions that drive business value through AI adoption.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Kuwait City is KD 3,500 - KD 5,000 per month (approximately USD 11,500 - USD 16,500 per year), based on market research and regional adjustments for mid-senior level AI applications development and solution architecture roles.

Benefits: Microsoft offers a comprehensive benefits package, including:

Health insurance and retirement plans.
Generous vacation and time-off policies.
Employee stock purchase plan and other equity incentives.
Professional development and learning opportunities.
A dynamic and inclusive work environment that values diversity and encourages innovation.

Working Hours: The standard workweek is 40 hours, with flexible working hours and remote work options available. Some on-site presence may be required for customer engagements and team collaboration.

📝 Enhancement Note: The salary range provided is an estimate based on market research and regional adjustments. The actual salary offered may vary depending on the candidate's qualifications, experience, and the company's internal salary structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, with a strong focus on AI, cloud computing, and productivity tools. This role will allow you to work at the forefront of AI innovation and drive customer success in the enterprise AI applications space.

Company Size: Microsoft is a large, multinational corporation with a diverse range of products and services. As an employee, you'll have the opportunity to work with and learn from a large, talented team of professionals.

Founded: Microsoft was founded in 1975 and has since grown into one of the world's leading technology companies. The company's rich history and commitment to innovation make it an exciting place to build your career.

Team Structure: The AI Applications team at Microsoft is a dynamic and collaborative group of professionals dedicated to driving AI adoption and customer success. As a Cloud & AI Solution Engineer, you'll work closely with various internal teams, such as engineering, sales, and marketing, to ensure customer success and alignment with Microsoft's AI strategy.

Development Methodology: Microsoft employs agile development methodologies, with a focus on collaboration, continuous improvement, and customer value. As a Cloud & AI Solution Engineer, you'll work closely with customers and internal teams to ensure that AI solutions are designed and developed to meet their unique needs.

Company Website: Microsoft Careers

📝 Enhancement Note: Microsoft's culture values innovation, collaboration, and customer success. As a Cloud & AI Solution Engineer, you'll have the opportunity to work at the forefront of AI innovation and drive customer success in the enterprise AI applications space.

📈 Career & Growth Analysis

AI Applications Career Level: This role is suited to mid-senior level professionals with a strong background in AI applications development and solution architecture. As a Cloud & AI Solution Engineer, you'll have the opportunity to drive customer success and innovation in the enterprise AI applications space, with potential career growth into more senior or specialized roles within Microsoft's AI organization.

Reporting Structure: This role reports directly to the AI Applications team lead, with regular collaboration with various internal teams, such as engineering, sales, and marketing.

Technical Impact: As a Cloud & AI Solution Engineer, you'll have a significant impact on Microsoft's AI applications strategy and customer success. Your work will drive AI adoption and innovation in the enterprise space, helping customers unlock the full potential of Microsoft's AI-powered stack.

Growth Opportunities:

Technical Specialization: Deepen your expertise in specific AI applications or technologies, such as AI agents or responsible AI, and become a go-to expert within Microsoft's AI organization.
Team Leadership: Develop your leadership skills and take on more senior roles within Microsoft's AI Applications team, driving customer success and innovation on a larger scale.
Cross-Functional Collaboration: Expand your skillset by working closely with other teams, such as engineering, sales, or marketing, and take on more cross-functional roles within Microsoft's AI organization.

📝 Enhancement Note: This role offers significant opportunities for career growth and development within Microsoft's AI organization. As a Cloud & AI Solution Engineer, you'll have the opportunity to drive customer success and innovation in the enterprise AI applications space, with potential growth into more senior or specialized roles.

🌐 Work Environment

Office Type: Microsoft's offices are modern, collaborative workspaces designed to foster innovation and creativity. As a Cloud & AI Solution Engineer, you'll have access to state-of-the-art facilities and tools to support your work.

Office Location(s): Kuwait City, Al ‘Āşimah, Kuwait. Remote work is also an option for this role.

Workspace Context:

Collaboration: Microsoft's offices are designed to encourage collaboration and teamwork, with open-plan workspaces and dedicated meeting areas.
Development Tools: You'll have access to the latest development tools and technologies to support your work, including Microsoft's AI-powered stack and other relevant software.
Team Interaction: As a Cloud & AI Solution Engineer, you'll work closely with various internal teams and customers, providing ample opportunities for collaboration and knowledge sharing.

Work Schedule: The standard workweek is 40 hours, with flexible working hours and remote work options available. Some on-site presence may be required for customer engagements and team collaboration.

📝 Enhancement Note: Microsoft's work environment is designed to support collaboration, innovation, and customer success. As a Cloud & AI Solution Engineer, you'll have access to state-of-the-art facilities and tools to support your work, as well as ample opportunities for collaboration and knowledge sharing.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss your background, experience, and fit for the role. Be prepared to discuss your AI applications development and solution architecture experience, as well as your customer-facing skills.
Technical Deep Dive: A more in-depth technical conversation focused on your AI applications development and solution architecture skills. Be prepared to discuss your approach to AI applications development, solution design, and deployment, as well as your experience working with enterprise customers.
Customer Engagement Simulation: A role-play scenario designed to assess your customer-facing skills and ability to understand customer needs and provide tailored solutions. Be prepared to demonstrate your ability to build strong relationships with enterprise customers and drive AI adoption.
Final Interview: A final interview with the hiring manager or other senior team members to discuss your fit for the role and answer any remaining questions.

Portfolio Review Tips:

AI Applications Development: Highlight your AI applications development work, including case studies demonstrating your ability to drive business value through AI adoption.
Solution Design & Architecture: Showcase your solution design and architecture work, highlighting your ability to create secure, scalable AI solutions tailored to customer needs.
Customer-Facing Skills: Demonstrate your customer-facing skills, such as testimonials or success stories, to illustrate your ability to build strong relationships with enterprise customers and drive AI adoption.

Technical Challenge Preparation:

AI Applications Development: Brush up on your AI applications development skills and be prepared to discuss your approach to AI applications development, solution design, and deployment.
Customer Engagement: Practice your customer-facing skills and be prepared to discuss your experience working with enterprise customers and driving AI adoption.
Problem Solving: Refresh your problem-solving skills and be prepared to discuss your approach to solving complex customer challenges and driving innovation through AI adoption.

ATS Keywords: (Organized by category)

Programming Languages: Python, JavaScript, C#, Java, R
AI Frameworks & Libraries: TensorFlow, PyTorch, Keras, scikit-learn, Microsoft Azure AI, AI Foundry
Cloud Platforms: Microsoft Azure, AWS, GCP
Databases: SQL Server, MySQL, PostgreSQL, MongoDB
Tools & Methodologies: Git, JIRA, Agile, DevOps, CI/CD, Responsible AI
Soft Skills: Customer-facing, problem-solving, innovation, collaboration, communication, teamwork
Industry Terms: AI applications, solution design, architecture, enterprise AI, customer success, AI adoption

📝 Enhancement Note: The interview process for this role is designed to assess your technical skills in AI applications development and solution architecture, as well as your customer-facing skills and ability to drive AI adoption in the enterprise space. Be prepared to discuss your experience working with enterprise customers and driving AI adoption, as well as your approach to AI applications development, solution design, and deployment.

🛠 Technology Stack & Web Infrastructure

AI Applications Development:

Programming Languages: Python, JavaScript, C#, Java, R
AI Frameworks & Libraries: TensorFlow, PyTorch, Keras, scikit-learn, Microsoft Azure AI, AI Foundry
Cloud Platforms: Microsoft Azure, AWS, GCP
Databases: SQL Server, MySQL, PostgreSQL, MongoDB

Solution Design & Architecture:

Design Tools: Microsoft Visio, Lucidchart, Draw.io
Architecture Frameworks: TOGAF, ArchiMate, Zachman
Infrastructure as Code (IaC): Terraform, Azure Resource Manager (ARM), AWS CloudFormation

Customer Engagement:

Customer Relationship Management (CRM): Microsoft Dynamics 365, Salesforce
Collaboration Tools: Microsoft Teams, Slack, Google Workspace
Project Management: JIRA, Azure DevOps, Asana

📝 Enhancement Note: The technology stack for this role is focused on AI applications development, solution design, and architecture, as well as customer engagement and collaboration. As a Cloud & AI Solution Engineer, you'll need to be proficient in a range of AI frameworks, libraries, and tools, as well as cloud platforms and databases. You'll also need to be familiar with customer relationship management (CRM) and collaboration tools to drive AI adoption and customer success in the enterprise space.

👥 Team Culture & Values

AI Applications Team Values:

Innovation: Embrace a growth mindset and continuously seek new ways to drive AI adoption and customer success.
Customer Obsessed: Focus on understanding customer needs and providing tailored solutions that drive business value through AI adoption.
One Microsoft: Collaborate effectively with other teams and departments to ensure customer success and alignment with Microsoft's AI strategy.
One Team: Foster a culture of teamwork and knowledge sharing to drive AI adoption and innovation in the enterprise space.
Growth Mindset: Embrace a continuous learning approach and strive to improve your skills and knowledge in AI applications development and solution architecture.

Collaboration Style:

Cross-Functional Collaboration: Work closely with various internal teams, such as engineering, sales, and marketing, to ensure customer success and alignment with Microsoft's AI strategy.
Customer Engagement: Build strong relationships with enterprise customers and understand their unique needs to provide tailored AI solutions that drive business value.
Knowledge Sharing: Foster a culture of teamwork and knowledge sharing to drive AI adoption and innovation in the enterprise space.

📝 Enhancement Note: Microsoft's AI Applications team values innovation, customer obsession, and collaboration. As a Cloud & AI Solution Engineer, you'll need to embrace a growth mindset and continuously seek new ways to drive AI adoption and customer success in the enterprise space. You'll also need to work closely with various internal teams and customers to ensure customer success and alignment with Microsoft's AI strategy.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Applications Development: Stay up-to-date with the latest AI trends and technologies, and apply this knowledge to solve complex customer challenges and drive innovation.
Solution Design & Architecture: Design secure, scalable AI solutions tailored to customer needs, while also considering the broader enterprise architecture and infrastructure requirements.
Customer Engagement: Build strong relationships with enterprise customers and understand their unique needs to provide tailored AI solutions that drive business value.
Responsible AI: Ensure that AI solutions are designed and deployed in accordance with responsible AI principles and ethical AI development practices.

Learning & Development Opportunities:

Technical Skill Development: Deepen your expertise in AI applications development, solution design, and architecture, as well as customer engagement and collaboration.
Leadership Development: Develop your leadership skills and take on more senior roles within Microsoft's AI Applications team, driving customer success and innovation on a larger scale.
Cross-Functional Collaboration: Expand your skillset by working closely with other teams, such as engineering, sales, or marketing, and take on more cross-functional roles within Microsoft's AI organization.

📝 Enhancement Note: This role offers significant opportunities for career growth and development within Microsoft's AI organization. As a Cloud & AI Solution Engineer, you'll have the opportunity to drive customer success and innovation in the enterprise AI applications space, with potential growth into more senior or specialized roles.

💡 Interview Preparation

Technical Questions:

AI Applications Development: Be prepared to discuss your approach to AI applications development, solution design, and deployment, as well as your experience working with enterprise customers and driving AI adoption.
Solution Design & Architecture: Demonstrate your ability to design secure, scalable AI solutions tailored to customer needs, while also considering the broader enterprise architecture and infrastructure requirements.
Customer Engagement: Showcase your customer-facing skills and ability to build strong relationships with enterprise customers and drive AI adoption.

Company & Culture Questions:

Microsoft's AI Strategy: Demonstrate your understanding of Microsoft's AI strategy and how your work as a Cloud & AI Solution Engineer would contribute to its success.
AI Applications Development: Discuss your approach to AI applications development, solution design, and deployment, as well as your experience working with enterprise customers and driving AI adoption.
Customer Engagement: Showcase your customer-facing skills and ability to build strong relationships with enterprise customers and drive AI adoption.

Portfolio Presentation Strategy:

AI Applications Development: Highlight your AI applications development work, including case studies demonstrating your ability to drive business value through AI adoption.
Solution Design & Architecture: Showcase your solution design and architecture work, highlighting your ability to create secure, scalable AI solutions tailored to customer needs.
Customer-Facing Skills: Demonstrate your customer-facing skills, such as testimonials or success stories, to illustrate your ability to build strong relationships with enterprise customers and drive AI adoption.

📝 Enhancement Note: The interview process for this role is designed to assess your technical skills in AI applications development and solution architecture, as well as your customer-facing skills and ability to drive AI adoption in the enterprise space. Be prepared to discuss your experience working with enterprise customers and driving AI adoption, as well as your approach to AI applications development, solution design, and deployment.

📌 Application Steps

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

Customize Your Portfolio: Tailor your portfolio to highlight your AI applications development and solution architecture work, as well as your customer-facing skills and experience working with enterprise customers.
Optimize Your Resume: Highlight your relevant AI applications development and solution architecture experience, as well as your customer-facing skills and experience working with enterprise customers.
Prepare for Technical Interviews: Brush up on your AI applications development and solution architecture skills, as well as your customer-facing skills and experience working with enterprise customers. Be prepared to discuss your approach to AI applications development, solution design, and deployment, as well as your experience working with enterprise customers and driving AI adoption.
Research Microsoft's AI Strategy: Familiarize yourself with Microsoft's AI strategy and how your work as a Cloud & AI Solution Engineer would contribute to its success. Be prepared to discuss your understanding of Microsoft's AI strategy and how your work would align with its goals and objectives.

⚠️ 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.

Cloud & AI Solution Engineer – Innovative AI Applications