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: Calgary, Alberta, Canada | Vancouver, British Columbia, Canada | Edmonton, Alberta, Canada
Job Type: Full-Time
Category: Technical Sales & Solution Engineering
Date Posted: 2025-06-18
Experience Level: 2-5 years

🚀 Role Summary

Role: Cloud & AI Solution Engineer, focusing on driving adoption of Microsoft's AI-powered developer stack, including GitHub, Visual Studio, and Azure AI.
Responsibilities: Serve as a trusted technical advisor, guide customers through secure and scalable solution design, influence technical decisions, and accelerate AI integration into development workflows.
Impact: Empower enterprise developers to modernize their software development lifecycle, drive innovation, and boost productivity.

📝 Enhancement Note: This role requires a strong technical background in software development and a passion for staying current with emerging AI technologies in the development lifecycle.

💻 Primary Responsibilities

Customer Engagement: Work directly with engineering leaders and platform teams to understand customer needs and provide tailored solutions.
Solution Design: Design secure and scalable solutions that meet customer requirements and align with Microsoft's AI-powered developer stack.
Technical Sales: Accelerate adoption of GitHub, Visual Studio, and Azure AI through hands-on engagements like Proof of Concepts, hackathons, code-with sessions, and architecture workshops.
Innovation & Productivity: Help customers realize the full value of Microsoft's developer platform by driving innovation and enhancing productivity in their development workflows.

📝 Enhancement Note: This role requires strong communication skills, both written and verbal, to effectively engage with customers and technical teams. Additionally, the ability to think critically and problem-solve is essential for designing optimal solutions.

🎓 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: 2-5 years of experience in software development, technical sales, or a related field. Experience with AI integration and cloud technologies is a plus.

Required Skills:

Proficient in one or more programming languages (e.g., C#, Java, Python)
Strong understanding of software development lifecycle and Agile methodologies
Experience with GitHub, Visual Studio, and Azure AI
Excellent communication and presentation skills
Ability to understand and explain complex technical concepts to non-technical stakeholders

Preferred Skills:

Experience with AI integration in software development workflows
Familiarity with DevSecOps and secure coding practices
Knowledge of cloud architecture and infrastructure as code (IaC) tools
Experience with customer relationship management (CRM) software

📝 Enhancement Note: While not required, having experience with Microsoft's AI-powered developer stack would be beneficial for success in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A portfolio showcasing relevant software development projects and AI integration examples.
Case studies demonstrating successful customer engagements, solution design, and problem-solving skills.
Examples of technical presentations or workshops led to drive adoption of AI-powered development tools.

Technical Documentation:

Documentation of code quality, commenting, and version control best practices.
Examples of system design and architecture decisions, with a focus on scalability and security.
Performance metrics and optimization techniques used in previous projects.

📝 Enhancement Note: While not required, having a GitHub profile with open-source contributions relevant to Microsoft's developer stack would be beneficial.

💵 Compensation & Benefits

Salary Range: $110,000 - $160,000 CAD per year, depending on experience and location. This range is based on market research for similar roles in Canada and is inclusive of the cost of living in major cities.

Benefits:

Comprehensive health, dental, and vision care plans
Retirement savings plans with company matching
Generous time off and paid leave policies
Employee stock purchase plan
Professional development opportunities and career growth

Working Hours: Full-time position with a standard workweek of 40 hours. Flexible work arrangements may be available.

📝 Enhancement Note: Salary and benefits information are based on market research and may vary depending on the specific location and the candidate's experience level.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on empowering every person and organization on the planet to achieve more through innovative software and services.

Company Size: Large (over 180,000 employees worldwide), with a global presence and a diverse range of products and services.

Founded: 1975, with a long history of innovation and growth.

Team Structure:

The Cloud & AI Solution Engineer role is part of the Global Sales & Marketing organization, working closely with engineering teams and other solution engineers.
The role reports directly to a Solution Engineering Manager and collaborates with various internal teams, including product, marketing, and other solution engineering teams.

Development Methodology:

Microsoft follows Agile methodologies, with a focus on continuous improvement and customer feedback.
The company uses Azure DevOps for project management, version control, and CI/CD pipelines.
Microsoft encourages a culture of learning and growth, with regular training and development opportunities.

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

📝 Enhancement Note: Microsoft's culture is driven by a growth mindset, innovation, and collaboration, with a strong focus on customer success and empowering employees to achieve their best.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-level to senior, with opportunities for growth into technical leadership, management, or specialized solution engineering roles.

Reporting Structure: The role reports directly to a Solution Engineering Manager and collaborates with various internal teams, providing opportunities for mentorship and skill development.

Technical Impact: The Cloud & AI Solution Engineer has a significant impact on customer success, driving adoption of Microsoft's AI-powered developer stack, and influencing technical decisions in enterprise environments.

Growth Opportunities:

Technical Leadership: Transition into a technical leadership role, guiding other solution engineers and driving best practices across the organization.
Specialization: Focus on a specific aspect of the AI-powered developer stack, such as AI integration, cloud architecture, or security, and become a subject matter expert.
Management: Move into a management role, leading a team of solution engineers and driving customer success at a strategic level.

📝 Enhancement Note: Career growth opportunities at Microsoft are abundant, with a strong emphasis on continuous learning, skill development, and internal mobility.

🌐 Work Environment

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

Office Location(s):

Calgary, Alberta, Canada: 645 5th Avenue SW, Calgary, AB T2P 3R3
Vancouver, British Columbia, Canada: 999 Canada Place, Vancouver, BC V6C 3E1
Edmonton, Alberta, Canada: 10010 100 Street NW, Edmonton, AB T5J 0N3

Workspace Context:

Collaboration: Open-plan workspaces that encourage team interaction and knowledge sharing.
Tools & Equipment: Modern hardware, multiple monitors, and development tools tailored to the role.
Learning & Development: Access to online learning platforms, training sessions, and mentorship programs to support professional growth.

Work Schedule: Standard full-time workweek of 40 hours, with flexible work arrangements available for some roles.

📝 Enhancement Note: Microsoft's work environment is designed to foster collaboration, innovation, and work-life balance, with a focus on employee well-being and productivity.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies:

GitHub: For version control, collaboration, and code review.
Visual Studio: For code editing, debugging, and project management.
Azure DevOps: For project management, CI/CD pipelines, and release management.

Backend & Server Technologies:

Azure AI: For AI integration, machine learning, and data analytics.
Azure Kubernetes Service (AKS): For container orchestration and deployment.
Azure Functions: For serverless computing and event-driven architecture.

Development & DevOps Tools:

Azure DevOps: For project management, version control, and CI/CD pipelines.
Azure Pipelines: For automated deployment and release management.
Terraform: For infrastructure as code (IaC) and cloud resource management.

📝 Enhancement Note: The technology stack for this role is focused on Microsoft's AI-powered developer stack, with a strong emphasis on Azure cloud services and GitHub.

👥 Team Culture & Values

Web Development Values:

Customer Obsessed: Focus on understanding and meeting customer needs through innovative solutions.
One Microsoft: Collaborate and work together across teams and organizations to achieve common goals.
Growth Mindset: Embrace a culture of learning and continuous improvement.
Inclusive & Diverse: Foster an inclusive environment that values and promotes diversity in all its dimensions.

Collaboration Style:

Cross-functional: Work closely with various internal teams, including product, marketing, and engineering teams, to drive customer success.
Solution-driven: Focus on understanding customer needs and designing tailored solutions that meet their requirements.
Mentoring & Knowledge Sharing: Encourage learning and skill development through mentorship and knowledge-sharing opportunities.

📝 Enhancement Note: Microsoft's culture is driven by a strong set of core values that emphasize customer focus, collaboration, learning, and inclusion.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Integration: Stay current with emerging AI technologies and their applications in the software development lifecycle.
Customer Engagement: Effectively engage with enterprise customers, understanding their unique needs and designing tailored solutions.
Solution Design: Design secure, scalable, and efficient solutions that meet customer requirements and align with Microsoft's AI-powered developer stack.

Learning & Development Opportunities:

Technical Skill Development: Stay up-to-date with the latest AI and cloud technologies, and deepen your expertise in specific areas of interest.
Conference Attendance: Attend industry conferences and events to learn from experts, network with peers, and gain insights into emerging trends.
Mentorship & Leadership: Develop your leadership and mentoring skills by guiding junior team members and driving best practices across the organization.

📝 Enhancement Note: The technical challenges and learning opportunities in this role are abundant, with a strong emphasis on continuous learning, skill development, and growth.

💡 Interview Preparation

Technical Questions:

AI & Cloud Technologies: Demonstrate your understanding of AI integration, cloud architecture, and Azure services relevant to the AI-powered developer stack.
Solution Design: Explain your approach to designing secure, scalable, and efficient solutions for enterprise customers.
Customer Engagement: Describe your experience working with enterprise customers and driving successful outcomes through tailored solutions.

Company & Culture Questions:

Microsoft's Mission: Explain how you align with Microsoft's mission to empower every person and organization on the planet to achieve more.
Customer Obsessed: Describe your approach to understanding and meeting customer needs, and how you've demonstrated this in previous roles.
Growth Mindset: Share an example of a time when you embraced a growth mindset, learned from a challenge, and applied that learning to achieve success.

Portfolio Presentation Strategy:

Solution Design: Highlight your ability to design secure, scalable, and efficient solutions by walking the interviewer through a case study or project example.
Customer Engagement: Demonstrate your customer engagement skills by presenting a successful customer project or engagement story.
Technical Depth: Showcase your technical expertise by explaining the underlying architecture, AI integration, or cloud services used in your portfolio projects.

📝 Enhancement Note: The interview preparation strategies for this role focus on demonstrating your technical expertise, customer engagement skills, and alignment with Microsoft's mission and values.

📌 Application Steps

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

Customize Your Portfolio: Tailor your portfolio to highlight relevant software development projects, AI integration examples, and customer engagement success stories.
Optimize Your Resume: Highlight your technical skills, customer engagement experience, and any relevant AI or cloud technology expertise.
Prepare for Technical Challenges: Brush up on your AI and cloud technology knowledge, focusing on Microsoft's AI-powered developer stack and Azure services.
Research Microsoft: Familiarize yourself with Microsoft's mission, values, and culture, and be prepared to discuss how you align with these aspects during the interview process.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology 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