Cloud & AI Solution Engineer – Innovative AI Applications at Microsoft

📍 Job Overview

Job Title: Cloud & AI Solution Engineer – Innovative AI Applications
Company: Microsoft
Location: Oslo, Norway
Job Type: Full-Time
Category: AI & Machine Learning
Date Posted: June 23, 2025

🚀 Role Summary

Key web technology aspect 1: Drive innovation in AI applications development using Microsoft's AI-powered stack across the entire development lifecycle.
Key web technology aspect 2: Collaborate with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI through hands-on engagements.
Key web technology aspect 3: Guide customers through secure, scalable solution design and influence technical decisions to modernize their applications.
Key web technology aspect 4: Accelerate AI applications and agents into customers' development workflows, helping them realize the full value of Microsoft's AI platform.

📝 Enhancement Note: This role requires a strong understanding of AI applications, cloud solutions, and solution design to effectively guide customers and influence technical decisions.

💻 Primary Responsibilities

Web technology responsibility 1: Collaborate with cross-functional teams to accelerate AI Foundry, Azure AI, and Responsible AI through Proof of Concepts, hackathons, and architecture workshops.
Web technology responsibility 2: Guide customers through secure, scalable solution design, influencing technical decisions to modernize their applications leveraging AI.
Web technology responsibility 3: Accelerate AI applications and agents into customers' development workflows, driving productivity enhancements and innovation.
Web technology responsibility 4: Build deep business acumen, hone technical skills, and become adept at solution design and deployment to help customers realize the full value of Microsoft's AI platform.
Web technology responsibility 5: Enjoy flexible work opportunities while collaborating with customers to modernize their applications and drive AI adoption.

📝 Enhancement Note: This role involves a mix of technical, business, and customer-facing responsibilities, requiring a well-rounded skill set and strong communication skills.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Artificial Intelligence, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: Proven experience in AI applications, cloud solutions, or a related field. Familiarity with Microsoft's AI-powered stack and Azure AI is a plus.

Required Skills:

AI Applications: Proficient in AI applications development and understanding of AI development lifecycle.
Cloud Solutions: Experience with cloud solutions and familiarity with Azure AI.
Solution Design: Strong solution design skills and the ability to guide customers through secure, scalable designs.
Technical Advisory: Proven ability to influence technical decisions and provide expert guidance to customers.
Enterprise Development: Experience working with enterprise customers and understanding their development processes.
Productivity Enhancement: Ability to drive productivity enhancements through AI applications and agents.
Innovation: Demonstrated ability to innovate and drive AI adoption within organizations.

Preferred Skills:

Architecture Workshops: Experience leading architecture workshops and driving customer engagement.
Proof of Concepts: Proven ability to create and deliver successful Proof of Concepts.
Hackathons: Experience participating in and leading hackathons to drive AI innovation.
Responsible AI: Familiarity with Responsible AI principles and their application in AI development.

📝 Enhancement Note: This role requires a unique blend of technical, business, and customer-facing skills. Candidates should have a strong foundation in AI applications and cloud solutions, along with proven experience in solution design and technical advisory roles.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Specific web portfolio requirement 1: Demonstrate your ability to drive AI innovation through case studies showcasing your experience with AI applications, cloud solutions, and solution design.
Specific web portfolio requirement 2: Highlight your technical advisory skills by including examples of how you've influenced technical decisions and guided customers through secure, scalable solution design.
Specific web portfolio requirement 3: Showcase your ability to accelerate AI applications and agents into development workflows through examples of successful Proof of Concepts, hackathons, or architecture workshops.
Specific web portfolio requirement 4: Include examples of how you've driven productivity enhancements and innovation within organizations, demonstrating your understanding of enterprise development processes.

Technical Documentation:

Technical documentation requirement 1: Provide clear and concise documentation of your solution design process, highlighting your ability to create secure, scalable solutions.
Technical documentation requirement 2: Include details of your approach to driving AI adoption within organizations, demonstrating your understanding of enterprise development processes and customer engagement.
Technical documentation requirement 3: Showcase your ability to create and deliver successful Proof of Concepts, hackathons, or architecture workshops, highlighting your technical expertise and customer-facing skills.

📝 Enhancement Note: This role requires a strong portfolio demonstrating your ability to drive AI innovation, guide customers through solution design, and accelerate AI applications into development workflows. Include specific examples of your technical advisory skills and customer engagement.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Oslo, Norway is NOK 700,000 - 1,000,000 per year, based on market research and industry standards for AI & Machine Learning roles.

Benefits:

Benefit 1: Competitive salary and benefits package, including health insurance and retirement plans.
Benefit 2: Generous time off and flexible work arrangements, including remote work opportunities.
Benefit 3: Opportunities for professional development and career growth within Microsoft's AI & Machine Learning division.
Benefit 4: A dynamic and inclusive work environment that values innovation, collaboration, and continuous learning.

Working Hours: Full-time position with standard working hours, Monday through Friday. Flexible work arrangements may be available, depending on the role and team requirements.

📝 Enhancement Note: The estimated salary range is based on market research and industry standards for AI & Machine Learning roles in Oslo, Norway. Actual salary may vary depending on experience, qualifications, and other factors.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, with a focus on developing and delivering innovative AI and cloud solutions for businesses and consumers worldwide.

Company Size: Microsoft is a large multinational corporation with over 180,000 employees globally. This role will be part of the AI & Machine Learning division, which is a large and growing team focused on driving AI innovation and adoption.

Founded: Microsoft was founded in 1975 and has since grown into one of the world's leading technology companies, with a strong commitment to innovation, collaboration, and continuous learning.

Team Structure:

Team size and specialization areas: The AI & Machine Learning division is organized into several teams, each focused on a specific aspect of AI development, such as AI Foundry, Azure AI, or Responsible AI.
Reporting structure and hierarchy: This role will report directly to the AI Applications Solution Engineering team lead and will collaborate with cross-functional teams, including engineering, product, and marketing.
Cross-functional collaboration with design, marketing, and business teams: The AI Applications Solution Engineering team will work closely with other teams within Microsoft to drive AI adoption and innovation, including design, marketing, and business teams.

Development Methodology:

Agile/Scrum methodologies and sprint planning for web projects: Microsoft uses Agile methodologies for software development, with regular sprint planning sessions to ensure efficient and effective project delivery.
Code review, testing, and quality assurance practices: Microsoft follows best practices for code review, testing, and quality assurance to ensure the delivery of high-quality AI solutions.
Deployment strategies, CI/CD pipelines, and server management: Microsoft uses CI/CD pipelines for automated deployment and server management, ensuring efficient and reliable delivery of AI solutions.

Company Website: Microsoft

📝 Enhancement Note: Microsoft's company culture is focused on innovation, collaboration, and continuous learning. The AI & Machine Learning division is a large and growing team that values technical expertise, customer engagement, and cross-functional collaboration.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a mid-level position within the AI & Machine Learning division, requiring a strong foundation in AI applications, cloud solutions, and solution design. This role offers opportunities for career growth and development within the AI Applications Solution Engineering team and across Microsoft's AI & Machine Learning division.

Reporting Structure: This role will report directly to the AI Applications Solution Engineering team lead and will collaborate with cross-functional teams, including engineering, product, and marketing.

Technical Impact: This role will have a significant impact on Microsoft's AI & Machine Learning division, driving AI adoption and innovation through customer engagement, solution design, and technical advisory services. The successful candidate will play a crucial role in helping customers modernize their applications and realize the full value of Microsoft's AI platform.

Growth Opportunities:

Growth opportunity 1: Opportunities for career progression within the AI Applications Solution Engineering team, including team lead or management roles.
Growth opportunity 2: Opportunities to specialize in specific AI technologies or domains, such as AI Foundry, Azure AI, or Responsible AI.
Growth opportunity 3: Opportunities to work on high-impact projects and drive AI innovation within Microsoft's AI & Machine Learning division.

📝 Enhancement Note: This role offers significant opportunities for career growth and development within Microsoft's AI & Machine Learning division. Candidates should be eager to take on new challenges and drive AI innovation through customer engagement and technical advisory services.

🌐 Work Environment

Office Type: Microsoft's Oslo office is a modern and collaborative workspace, designed to foster innovation, creativity, and cross-functional collaboration.

Office Location(s): Microsoft's Oslo office is located in the city center, with easy access to public transportation and nearby amenities.

Workspace Context:

Collaborative web development environment impact: The AI & Machine Learning division is a collaborative and dynamic work environment, with regular team meetings, workshops, and hackathons to drive AI innovation.
Development tools, multiple monitors, and testing devices available: Microsoft provides state-of-the-art development tools, multiple monitors, and testing devices to ensure efficient and effective AI development.
Web development team interaction and cross-functional collaboration opportunities: The AI Applications Solution Engineering team will work closely with other teams within Microsoft, including engineering, product, and marketing, to drive AI adoption and innovation.

Work Schedule: Full-time position with standard working hours, Monday through Friday. Flexible work arrangements may be available, depending on the role and team requirements.

📝 Enhancement Note: Microsoft's Oslo office is a modern and collaborative workspace, designed to foster innovation, creativity, and cross-functional collaboration. The AI & Machine Learning division is a dynamic and engaging work environment, with regular team meetings, workshops, and hackathons to drive AI innovation.

📄 Application & Technical Interview Process

Interview Process:

Process step 1: Technical assessment focusing on AI applications, cloud solutions, and solution design. Candidates should be prepared to discuss their experience with AI development, cloud solutions, and solution design, as well as their approach to driving AI adoption within organizations.
Process step 2: Customer engagement scenario, where candidates will be asked to demonstrate their ability to guide customers through secure, scalable solution design and influence technical decisions.
Process step 3: Technical deep dive, focusing on the candidate's technical expertise in AI applications, cloud solutions, and solution design. Candidates should be prepared to discuss their experience with AI development, cloud solutions, and solution design, as well as their approach to driving AI adoption within organizations.
Process step 4: Final evaluation, focusing on the candidate's cultural fit, communication skills, and ability to drive AI innovation within Microsoft's AI & Machine Learning division.

Portfolio Review Tips:

Portfolio tip 1: Highlight your ability to drive AI innovation through case studies showcasing your experience with AI applications, cloud solutions, and solution design.
Portfolio tip 2: Include examples of your technical advisory skills, demonstrating your ability to guide customers through secure, scalable solution design and influence technical decisions.
Portfolio tip 3: Showcase your ability to accelerate AI applications and agents into development workflows through examples of successful Proof of Concepts, hackathons, or architecture workshops.
Portfolio tip 4: Include examples of your customer engagement skills, demonstrating your ability to drive AI adoption within organizations and build strong customer relationships.

Technical Challenge Preparation:

Challenge preparation 1: Familiarize yourself with Microsoft's AI-powered stack, including AI Foundry, Azure AI, and Responsible AI. Be prepared to discuss your experience with these technologies and how you've used them to drive AI innovation within organizations.
Challenge preparation 2: Brush up on your technical skills in AI applications, cloud solutions, and solution design. Be prepared to discuss your approach to driving AI adoption within organizations and your experience with customer engagement.
Challenge preparation 3: Prepare for the customer engagement scenario by practicing your communication skills and developing a clear and concise approach to guiding customers through secure, scalable solution design.

ATS Keywords:

Programming Languages: Python, R, Java, C#, JavaScript
Web Frameworks: TensorFlow, PyTorch, Keras, Azure ML
Server Technologies: Azure, AWS, GCP
Databases: SQL, NoSQL, Azure Cosmos DB, Azure SQL Database
Tools: Jupyter Notebooks, Visual Studio Code, Git, Azure DevOps
Methodologies: Agile, Scrum, Kanban
Soft Skills: Communication, problem-solving, teamwork, adaptability
Industry Terms: AI applications, cloud solutions, solution design, technical advisory, enterprise development, productivity enhancement, innovation, collaboration, continuous learning, architecture workshops, Proof of Concepts, hackathons, secure solutions, scalable solutions, AI development

📝 Enhancement Note: The interview process for this role will focus on the candidate's technical expertise in AI applications, cloud solutions, and solution design, as well as their ability to drive AI adoption within organizations and build strong customer relationships. Candidates should be prepared to discuss their experience with AI development, cloud solutions, and solution design, as well as their approach to driving AI innovation within organizations.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies:

Frontend technology 1: Familiarity with web development frameworks and libraries, such as React, Angular, or Vue.js, is a plus but not required.
Frontend technology 2: Experience with responsive design and mobile-first development is a plus but not required.
Frontend technology 3: Familiarity with performance optimization and accessibility features is a plus but not required.
Frontend technology 4: Experience with user interface libraries and component development is a plus but not required.

Backend & Server Technologies:

Backend technology 1: Proficient in AI applications development using Python, R, Java, C#, or JavaScript.
Server technology 2: Experience with cloud solutions, such as Azure, AWS, or GCP.
Infrastructure tool 3: Familiarity with CI/CD pipelines and automated deployment is a plus but not required.

Development & DevOps Tools:

Development tool 1: Experience with version control systems, such as Git, is required.
DevOps tool 2: Familiarity with CI/CD pipelines and automated deployment is a plus but not required.
Monitoring tool 3: Experience with web performance tracking and server monitoring tools is a plus but not required.

📝 Enhancement Note: This role requires a strong foundation in AI applications, cloud solutions, and solution design. Familiarity with web development frameworks and libraries, as well as cloud solutions and CI/CD pipelines, is a plus but not required.

👥 Team Culture & Values

Web Development Values:

Web development value 1: Microsoft values innovation and continuous learning, with a strong focus on driving AI adoption and innovation within organizations.
Web development value 2: Microsoft values collaboration and cross-functional teamwork, with a strong emphasis on customer engagement and customer success.
Web development value 3: Microsoft values technical expertise and technical leadership, with a strong commitment to driving AI innovation through customer engagement and technical advisory services.
Web development value 4: Microsoft values diversity, inclusion, and belonging, with a strong commitment to fostering a dynamic and engaging work environment.

Collaboration Style:

Collaboration approach 1: Microsoft's AI & Machine Learning division is a collaborative and dynamic work environment, with regular team meetings, workshops, and hackathons to drive AI innovation.
Collaboration approach 2: Microsoft values cross-functional teamwork and customer engagement, with a strong emphasis on building strong customer relationships and driving AI adoption within organizations.
Collaboration approach 3: Microsoft values knowledge sharing, technical mentoring, and continuous learning, with a strong commitment to fostering a dynamic and engaging work environment.

📝 Enhancement Note: Microsoft's AI & Machine Learning division is a collaborative and dynamic work environment, with a strong focus on driving AI adoption and innovation within organizations. Candidates should be eager to take on new challenges and drive AI innovation through customer engagement and technical advisory services.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Web development challenge 1: Staying up-to-date with the latest AI technologies and trends, and incorporating them into solution design and customer engagement strategies.
Web development challenge 2: Balancing the need for secure, scalable solution design with the need for rapid innovation and customer engagement.
Web development challenge 3: Driving AI adoption within organizations, despite potential resistance or lack of understanding of AI technologies.
Web development challenge 4: Managing multiple projects and priorities, while maintaining a strong focus on customer success and AI innovation.

Learning & Development Opportunities:

Learning opportunity 1: Opportunities to specialize in specific AI technologies or domains, such as AI Foundry, Azure AI, or Responsible AI.
Learning opportunity 2: Opportunities to attend conferences, obtain certifications, and engage with the AI community to drive continuous learning and professional development.
Learning opportunity 3: Opportunities to work on high-impact projects and drive AI innovation within Microsoft's AI & Machine Learning division.

📝 Enhancement Note: This role offers significant opportunities for career growth and development within Microsoft's AI & Machine Learning division. Candidates should be eager to take on new challenges and drive AI innovation through customer engagement and technical advisory services.

💡 Interview Preparation

Technical Questions:

Technical question 1: Describe your experience with AI applications development and how you've used it to drive AI adoption within organizations.
Technical question 2: How do you approach secure, scalable solution design, and how have you guided customers through this process in the past?
Technical question 3: Describe your experience with customer engagement and how you've built strong customer relationships to drive AI adoption within organizations.

Company & Culture Questions:

Technical question 4: How do you approach collaboration and cross-functional teamwork, and how have you driven AI innovation within organizations through customer engagement and technical advisory services?
Technical question 5: How do you stay up-to-date with the latest AI technologies and trends, and how have you incorporated them into solution design and customer engagement strategies in the past?
Technical question 6: Describe your experience with project management and how you've balanced multiple projects and priorities while maintaining a strong focus on customer success and AI innovation.

Portfolio Presentation Strategy:

Presentation strategy 1: Highlight your ability to drive AI innovation through case studies showcasing your experience with AI applications, cloud solutions, and solution design.
Presentation strategy 2: Include examples of your technical advisory skills, demonstrating your ability to guide customers through secure, scalable solution design and influence technical decisions.
Presentation strategy 3: Showcase your ability to accelerate AI applications and agents into development workflows through examples of successful Proof of Concepts, hackathons, or architecture workshops.
Presentation strategy 4: Include examples of your customer engagement skills, demonstrating your ability to drive AI adoption within organizations and build strong customer relationships.

📝 Enhancement Note: The interview process for this role will focus on the candidate's technical expertise in AI applications, cloud solutions, and solution design, as well as their ability to drive AI adoption within organizations and build strong customer relationships. Candidates should be prepared to discuss their experience with AI development, cloud solutions, and solution design, as well as their approach to driving AI innovation within organizations.

📌 Application Steps

To apply for this AI Applications Solution Engineer position at Microsoft:

Submit your application through the application link provided in the job listing.
Customize your resume and portfolio to highlight your experience with AI applications, cloud solutions, and solution design, as well as your approach to driving AI adoption within organizations.
Prepare for the technical assessment by brushing up on your AI applications, cloud solutions, and solution design skills, as well as your approach to driving AI adoption within organizations.
Research Microsoft's AI & Machine Learning division and AI Applications Solution Engineering team to ensure a strong understanding of the role and team dynamics.
Prepare for the customer engagement scenario by practicing your communication skills and developing a clear and concise approach to guiding customers through secure, scalable solution design.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Cloud & AI Solution Engineer – Innovative AI Applications