Cloud & AI Solution Engineer - Software, Development Tools and AI at Microsoft

📍 Job Overview

Job Title: Cloud & AI Solution Engineer - Software, Development Tools and AI
Company: Microsoft
Location: Washington D.C., District of Columbia, United States
Job Type: Full-Time
Category: Technical Sales (Web Development & AI)
Date Posted: 2025-06-18
Experience Level: Mid-Senior Level (2-5 years)

🚀 Role Summary

Key Web Technology Aspects: AI integration into software development lifecycle, enterprise developer engagement, technical sales, solution design, and architecture workshops.
Key Web Technology Aspects: Microsoft's AI-powered developer stack (GitHub, Visual Studio, Azure AI), DevSecOps, and customer-centric solution design.
Key Web Technology Aspects: Influencing technical decisions, accelerating AI integration, and driving innovation in enterprise development.
Key Web Technology Aspects: Collaborating with engineering leaders, platform teams, and customers to deliver hands-on engagements and Proof of Concepts.

💻 Primary Responsibilities

Web Technology Responsibility: Serve as a trusted technical advisor, guiding enterprise developers through secure, scalable solution design and AI integration.
Web Technology Responsibility: Work directly with engineering leaders and platform teams to accelerate GitHub, Visual Studio, and Azure AI adoption through Proof of Concepts, hackathons, code-with sessions, and architecture workshops.
Web Technology Responsibility: Influence technical decisions and help customers realize the full value of Microsoft's developer platform by modernizing their software development lifecycle.
Web Technology Responsibility: Enable DevSecOps at global banks and scale GitHub Copilot across thousands of engineers, driving innovation and productivity in enterprise development.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: Proven track record in technical sales, solution design, or a related role, with a strong background in software development and AI integration.

Required Skills:

Proven expertise in cloud solutions and AI integration.
Strong software development background, with a focus on enterprise development.
Excellent technical sales and customer engagement skills.
Ability to influence technical decisions and drive innovation.
Experience with Microsoft's developer stack (GitHub, Visual Studio, Azure AI) and DevSecOps practices.
Strong solution design and architecture skills.

Preferred Skills:

Experience with AI-powered developer tools and workflows.
Familiarity with enterprise development challenges and trends.
Knowledge of multiple programming languages and development methodologies.
Ability to speak multiple languages (both programming and human languages).

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Portfolio Essentials: Demonstrate a strong track record of successful technical sales engagements, with a focus on AI integration and solution design.
Portfolio Essentials: Showcase your ability to influence technical decisions and drive innovation in enterprise development through case studies and testimonials.
Portfolio Essentials: Highlight your expertise in Microsoft's developer stack (GitHub, Visual Studio, Azure AI) and DevSecOps practices through relevant projects and certifications.

Technical Documentation:

Technical Documentation: Provide detailed documentation of your solution design and architecture processes, highlighting your ability to deliver secure, scalable, and innovative solutions.
Technical Documentation: Include examples of your technical sales presentations, customer engagement strategies, and AI integration methodologies.
Technical Documentation: Demonstrate your understanding of enterprise development trends and challenges through insightful analyses and recommendations.

💵 Compensation & Benefits

Salary Range: $120,000 - $180,000 per year (based on experience and location)

Benefits:

Comprehensive health, vision, and dental insurance.
Retirement savings plan with company match.
Generous time off and paid holidays.
Employee stock purchase plan.
Tuition assistance and professional development opportunities.
Employee discounts on Microsoft products and services.

Working Hours: Full-time, with flexible working hours and remote work options available.

📝 Enhancement Note: The salary range provided is an estimate based on market research and industry standards for mid-senior level technical sales roles focused on AI integration and solution design in the Washington D.C. area. Actual salary may vary based on individual qualifications and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on cloud computing, AI, and enterprise software development.

Company Size: Large (over 180,000 employees), with a global presence and a strong commitment to innovation and growth.

Founded: 1975, with a rich history in shaping the technology industry and empowering people and organizations worldwide.

Team Structure:

Team Structure: The Cloud & AI Solution Engineer role is part of the Global Sales & Marketing organization, working closely with the Engineering and Product teams to drive AI integration and innovation in enterprise development.
Team Structure: You will collaborate with a diverse, global team of technical sales professionals, solution architects, and customer success managers to deliver exceptional customer experiences and drive business growth.
Team Structure: The role reports directly to a Sales Manager, with a matrixed reporting line to a Solutions Architect or Technical Specialist, depending on the specific customer engagement.

Development Methodology:

Development Process 1: Microsoft follows an Agile/Scrum development methodology, with a focus on continuous integration, delivery, and improvement.
Development Process 2: The company emphasizes code review, testing, and quality assurance practices to ensure the delivery of high-quality, secure, and reliable solutions.
Development Process 3: Microsoft employs deployment strategies, CI/CD pipelines, and server management tools to enable efficient and automated deployment of software solutions.

Company Website: Microsoft Careers

📝 Enhancement Note: Microsoft's company culture is characterized by a strong commitment to innovation, growth, and empowerment. The company values respect, integrity, and accountability, fostering a culture of inclusion where everyone can thrive at work and beyond.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior Level - Technical Sales (AI Integration & Solution Design)

Reporting Structure: The role reports directly to a Sales Manager, with a matrixed reporting line to a Solutions Architect or Technical Specialist, depending on the specific customer engagement.

Technical Impact: As a Cloud & AI Solution Engineer, you will have a significant impact on enterprise development by influencing technical decisions, driving AI integration, and modernizing software development lifecycles.

Growth Opportunities:

Growth Opportunity 1: Proven performers may advance to senior sales roles, solution architecture positions, or technical leadership roles within the Global Sales & Marketing organization.
Growth Opportunity 2: Exceptional individuals may have the opportunity to transition into engineering or product management roles, driving innovation in Microsoft's AI-powered developer stack.
Growth Opportunity 3: The role offers continuous learning and development opportunities, with access to cutting-edge AI technologies, tools, and methodologies.

📝 Enhancement Note: Microsoft's career progression paths are designed to empower employees to grow both personally and professionally. The company offers a wide range of growth opportunities, with a strong focus on technical skill development, leadership, and architecture decision-making.

🌐 Work Environment

Office Type: Modern, collaborative workspaces with a focus on employee comfort, productivity, and well-being.

Office Location(s): Microsoft's headquarters are located in Redmond, Washington, with additional offices and remote work options available worldwide.

Workspace Context:

Workspace Aspect 1: Microsoft's offices feature open-plan workspaces, collaboration areas, and state-of-the-art technology to support productive and innovative work.
Workspace Aspect 2: Employees have access to multiple monitors, testing devices, and development tools to ensure efficient and effective work.
Workspace Aspect 3: Microsoft fosters a collaborative work environment, with a strong emphasis on knowledge sharing, technical mentoring, and continuous learning.

Work Schedule: Full-time, with flexible working hours and remote work options available, allowing for a healthy work-life balance.

📝 Enhancement Note: Microsoft's work environment is designed to empower employees to achieve their best, with a strong focus on collaboration, innovation, and work-life balance. The company offers flexible work arrangements to accommodate individual needs and preferences.

📄 Application & Technical Interview Process

Interview Process:

Process Step 1: Technical preparation recommendations, with a focus on AI integration, solution design, and enterprise development challenges.
Process Step 2: Web architecture expectations and system design discussion, with a focus on Microsoft's AI-powered developer stack and DevSecOps practices.
Process Step 3: Customer engagement and technical sales skills assessment, with a focus on influencing technical decisions and driving innovation.
Process Step 4: Final evaluation criteria and technical impact discussion, with a focus on the candidate's ability to drive AI integration and modernize software development lifeccles.

Portfolio Review Tips:

Portfolio Tip 1: Highlight your technical sales achievements, solution design expertise, and AI integration success stories.
Portfolio Tip 2: Structure your portfolio with a focus on customer engagement, technical decision influence, and enterprise development impact.
Portfolio Tip 3: Demonstrate your expertise in Microsoft's developer stack (GitHub, Visual Studio, Azure AI) and DevSecOps practices through relevant projects and certifications.
Portfolio Tip 4: Tailor your portfolio to showcase your unique skills, experiences, and accomplishments that set you apart as a technical sales professional.

Technical Challenge Preparation:

Challenge Preparation 1: Familiarize yourself with Microsoft's AI-powered developer stack, with a focus on GitHub, Visual Studio, and Azure AI.
Challenge Preparation 2: Brush up on your solution design and architecture skills, with a focus on enterprise development challenges and trends.
Challenge Preparation 3: Prepare for customer engagement scenarios, with a focus on influencing technical decisions and driving innovation.

ATS Keywords: [Comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📝 Enhancement Note: The interview process for the Cloud & AI Solution Engineer role is designed to assess the candidate's technical sales skills, solution design expertise, and AI integration knowledge. The portfolio review tips and technical challenge preparation guidance are tailored to help candidates succeed in the interview process and secure the role.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies:

Frontend Technology 1: Proficiency in HTML, CSS, and JavaScript, with a focus on responsive design and user experience.
Frontend Technology 2: Experience with modern web frameworks and libraries, such as React, Angular, or Vue.js.
Frontend Technology 3: Knowledge of accessibility standards and best practices for enterprise development.
Frontend Technology 4: Familiarity with design systems, component libraries, and style guides.

Backend & Server Technologies:

Backend Technology 1: Proficiency in one or more backend programming languages, such as C#, Java, or Python.
Backend Technology 2: Experience with cloud-based server platforms, such as Azure, AWS, or Google Cloud.
Backend Technology 3: Knowledge of containerization and orchestration tools, such as Docker and Kubernetes.
Server Technology 2: Familiarity with database management systems and data integration practices.

Development & DevOps Tools:

Development Tool 1: Proficiency in version control systems, such as Git, and collaborative development tools, such as Azure DevOps or GitHub.
DevOps Tool 2: Experience with CI/CD pipelines, deployment automation, and infrastructure as code (IaC) tools.
Monitoring Tool 3: Knowledge of application performance monitoring and server management tools, such as Azure Monitor or New Relic.

📝 Enhancement Note: The technology stack for the Cloud & AI Solution Engineer role is designed to empower enterprise developers to build, deploy, and manage intelligent applications. The required skills and tools are tailored to Microsoft's AI-powered developer stack and DevSecOps practices.

👥 Team Culture & Values

Web Development Values:

Web Development Value 1: Empowering enterprise developers to build, deploy, and manage intelligent applications through AI integration and solution design.
Web Development Value 2: Fostering a customer-centric approach, with a focus on driving innovation, productivity, and user experience.
Web Development Value 3: Encouraging collaboration, knowledge sharing, and continuous learning within the technical sales team and across Microsoft.
Web Development Value 4: Promoting a growth mindset, with a focus on innovation, experimentation, and continuous improvement.

Collaboration Style:

Collaboration Approach 1: Cross-functional integration between technical sales, engineering, and product teams to drive AI integration and innovation in enterprise development.
Collaboration Approach 2: Code review culture and peer programming practices to ensure high-quality, secure, and reliable solutions.
Collaboration Approach 3: Knowledge sharing, technical mentoring, and continuous learning to foster a culture of innovation and growth.

📝 Enhancement Note: Microsoft's team culture is characterized by a strong commitment to collaboration, innovation, and customer-centricity. The company values a growth mindset, with a focus on empowering employees to achieve their best and drive enterprise development forward.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Web Development Challenge 1: Integrating AI into enterprise development workflows, with a focus on driving productivity, innovation, and user experience.
Web Development Challenge 2: Influencing technical decisions and driving AI adoption in large, complex enterprise environments.
Web Development Challenge 3: Modernizing software development lifeccles, with a focus on secure, scalable, and efficient solution design.
Web Development Challenge 4: Collaborating with diverse teams, including engineering, product, and customer success, to deliver exceptional customer experiences and drive business growth.

Learning & Development Opportunities:

Learning Opportunity 1: Expanding your technical sales skills, with a focus on AI integration, solution design, and enterprise development.
Learning Opportunity 2: Gaining expertise in Microsoft's AI-powered developer stack, with a focus on GitHub, Visual Studio, and Azure AI.
Learning Opportunity 3: Developing your leadership, mentoring, and architecture decision-making skills, with a focus on driving innovation and growth in enterprise development.

📝 Enhancement Note: The technical challenges and learning opportunities for the Cloud & AI Solution Engineer role are designed to empower enterprise developers to build, deploy, and manage intelligent applications. The required skills and growth paths are tailored to Microsoft's AI-powered developer stack and DevSecOps practices.

💡 Interview Preparation

Technical Questions:

Technical Question 1: Demonstrate your expertise in AI integration, solution design, and enterprise development through case studies, success stories, and technical deep dives.
Technical Question 2: Showcase your ability to influence technical decisions and drive innovation in enterprise development through customer engagement scenarios and technical sales presentations.
Technical Question 3: Highlight your technical sales skills, with a focus on customer-centric solution design, AI integration, and enterprise development challenges.

Company & Culture Questions:

Technical Question 4: Demonstrate your understanding of Microsoft's company culture, with a focus on innovation, growth, and empowerment.
Technical Question 5: Showcase your ability to collaborate with diverse teams, including engineering, product, and customer success, to deliver exceptional customer experiences and drive business growth.
Technical Question 6: Highlight your commitment to continuous learning, with a focus on staying up-to-date with emerging AI technologies, tools, and methodologies.

Portfolio Presentation Strategy:

Presentation Strategy 1: Tailor your portfolio to showcase your unique skills, experiences, and accomplishments that set you apart as a technical sales professional.
Presentation Strategy 2: Structure your portfolio with a focus on customer engagement, technical decision influence, and enterprise development impact.
Presentation Strategy 3: Demonstrate your expertise in Microsoft's developer stack (GitHub, Visual Studio, Azure AI) and DevSecOps practices through relevant projects and certifications.

📝 Enhancement Note: The interview preparation guidance for the Cloud & AI Solution Engineer role is designed to empower candidates to showcase their technical sales skills, solution design expertise, and AI integration knowledge. The technical questions, company and culture questions, and portfolio presentation strategy are tailored to help candidates succeed in the interview process and secure the role.

📌 Application Steps

To apply for the Cloud & AI Solution Engineer - Software, Development Tools and AI position at Microsoft:

Concrete Preparation Step 1: Tailor your resume and portfolio to highlight your technical sales skills, solution design expertise, and AI integration knowledge, with a focus on Microsoft's developer stack and DevSecOps practices.
Concrete Preparation Step 2: Research Microsoft's company culture, with a focus on innovation, growth, and empowerment, and prepare for company-specific interview questions.
Concrete Preparation Step 3: Prepare for technical sales scenarios, customer engagement exercises, and AI integration challenges, with a focus on driving innovation and productivity in enterprise development.
Concrete Preparation Step 4: Familiarize yourself with Microsoft's AI-powered developer stack, with a focus on GitHub, Visual Studio, and Azure AI, and prepare for technical deep dives and architecture discussions.

⚠️ 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 - Software, Development Tools and AI