Cloud & AI Solution Engineer – AI Applications

📍 Job Overview

• Job Title: Cloud & AI Solution Engineer – AI Applications
• Company: Microsoft
• Location: Athens, Attica, Greece
• Job Type: Full-Time
• Category: AI Applications Solution Engineer
• Date Posted: 2025-07-30

🚀 Role Summary

• Key Web Technology Aspects:
  • Microsoft is transforming the developer experience for AI applications across the development lifecycle.
  • With AI Foundry and seamless integration with Azure AI, Microsoft is leading the way in Agentic AI development where AI agents streamline development and operations.
  • As a Cloud & AI Solution Engineer in AI Applications, you'll help customers boost productivity and become AI-native by leveraging Microsoft's AI-powered stack.

💻 Primary Responsibilities

• Web Technology Responsibilities:
  • 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 customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows.
  • Help customers modernize their applications and realize the full value of Microsoft's AI platform while enjoying flexible work opportunities.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, AI, or a related field.

Experience: Proven technical expertise in Application Modernization and Cloud Application Development.

Required Skills:

• Cloud Application Development
• Application Modernization
• AI Applications
• Technical Expertise
• Solution Design
• Deployment
• Collaboration
• Creativity
• Continuous Learning
• AI Foundry
• Azure AI
• Responsible AI
• Proof of Concepts
• Architecture Workshops
• Technical Advisor
• Productivity

Preferred Skills:

• Agentic AI development experience
• Familiarity with Microsoft's AI-powered stack
• Strong communication and presentation skills

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• Demonstrate your technical expertise in AI applications development, solution design, and deployment.
• Showcase your ability to guide customers through secure, scalable solution design and accelerate AI applications development.

Technical Documentation:

• Provide detailed documentation on your approach to AI applications development, solution design, and deployment.
• Highlight your experience with AI Foundry, Azure AI, and Responsible AI.

💵 Compensation & Benefits

Salary Range: Competitive salary package based on experience and location.

Benefits:

• Comprehensive health and wellness benefits
• Retirement savings plans
• Employee stock purchase plan
• Generous time off and leave policies
• Flexible work arrangements
• Learning and development opportunities

Working Hours: 40 hours per week with flexible work arrangements.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology

Company Size: Large (over 10,000 employees)

Founded: 1975

Team Structure:

• Collaborative, cross-functional teams with engineering leaders and platform teams.
• Focus on innovation, continuous learning, and customer success.

Development Methodology:

• Agile development methodologies with a focus on customer value and continuous improvement.
• Emphasis on collaboration, creativity, and solution design.

Company Website: Microsoft

📈 Career & Growth Analysis

Web Technology Career Level: Mid-level AI Applications Solution Engineer with a focus on customer success and solution design.

Reporting Structure: Collaborative, cross-functional teams with engineering leaders and platform teams.

Technical Impact: Direct influence on AI applications development, solution design, and deployment for enterprise customers.

Growth Opportunities:

• Develop deep business acumen and hone technical skills in AI applications development.
• Become adept at solution design and deployment, and accelerate your career growth.
• Gain experience in technical leadership and mentoring within the AI applications domain.

🌐 Work Environment

Office Type: Modern, collaborative office spaces with flexible work arrangements.

Office Location(s): Athens, Attica, Greece, with remote work opportunities in Greece, Malta, and Cyprus.

Workspace Context:

• Modern, collaborative workspaces with access to cutting-edge technology and tools.
• Flexible work arrangements with a focus on productivity and work-life balance.
• Opportunities for cross-functional collaboration with design, marketing, and business teams.

Work Schedule: Flexible work arrangements with a focus on productivity and customer success.

📄 Application & Technical Interview Process

Interview Process:

1. Technical assessment and problem-solving exercises focused on AI applications development and solution design.
2. Architecture workshops and case study presentations to evaluate your understanding of AI applications deployment and customer success.
3. Final evaluation based on your technical expertise, communication skills, and cultural fit.

Portfolio Review Tips:

• Highlight your technical expertise in AI applications development, solution design, and deployment.
• Showcase your ability to guide customers through secure, scalable solution design and accelerate AI applications development.

Technical Challenge Preparation:

• Brush up on your AI applications development skills, solution design principles, and deployment strategies.
• Prepare for architecture workshops and case study presentations to demonstrate your understanding of AI applications deployment and customer success.

ATS Keywords: AI Applications, Cloud Application Development, Application Modernization, AI Foundry, Azure AI, Responsible AI, Solution Design, Deployment, Collaboration, Creativity, Continuous Learning, Technical Advisor, Productivity

📌 Application Steps

To apply for this AI Applications Solution Engineer position:

1. Submit your application through the application link.
2. Tailor your resume to highlight your technical expertise in AI applications development, solution design, and deployment.
3. Prepare a comprehensive portfolio showcasing your ability to guide customers through secure, scalable solution design and accelerate AI applications development.
4. Research Microsoft's AI applications development strategy and customer success initiatives to demonstrate your understanding of the role and company culture.