📍 Job Overview

Job Title: Cloud & AI Solution Engineer - AI & Agentic Applications
Company: Microsoft
Location: Sydney, New South Wales, Australia; Canberra, Australian Capital Territory, Australia; Perth, Western Australia, Australia; Brisbane, Queensland, Australia; Melbourne, Victoria, Australia
Job Type: Full-Time
Category: AI & Applications Solution Engineer
Date Posted: 2025-06-19
Experience Level: Mid-Senior Level (2-5 years)
Remote Status: On-site/Hybrid (Remote OK)

🚀 Role Summary

📝 Enhancement Note: This role focuses on driving AI adoption and modernization for commercial customers, leveraging Microsoft's AI-powered stack and Azure AI services. It requires a strong background in AI applications and cloud solutions, with a passion for innovation and customer engagement.

💻 Primary 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 and influence technical decisions to modernize their applications using AI.
Accelerate AI applications development and deployment into customers' workflows, helping them realize the full value of Microsoft's AI platform.
Serve as a trusted technical advisor, providing guidance on secure and scalable solution design, and driving AI applications and agents into customers' development workflows.

🎓 Skills & Qualifications

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

Experience: 2-5 years of experience in AI applications development, cloud solutions, or a related field. Proven track record of driving AI adoption and customer success.

Required Skills:

Proficient in AI applications development and cloud solutions.
Strong understanding of Azure AI services and Responsible AI principles.
Excellent communication and collaboration skills, with the ability to influence technical decisions.
Proven experience in solution design, architecture workshops, and Proof of Concepts.
Familiarity with AI development lifecycle and modern application development practices.

Preferred Skills:

Experience with AI Foundry and seamless integration with Azure AI.
Knowledge of agentic AI development and AI agents.
Familiarity with AI ethics, fairness, and accountability principles.
Experience with customer engagement, hackathons, and AI-driven productivity tools.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your proficiency in AI applications development and cloud solutions through relevant projects.
Showcase your ability to design scalable and secure AI solutions, with a focus on modern application development practices.
Highlight your experience in customer engagement, hackathons, and driving AI adoption.

Technical Documentation:

Provide clear and concise documentation for your AI projects, including code comments, version control, and deployment processes.
Include testing methodologies, performance metrics, and optimization techniques used in your projects.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Australia is AU$120,000 - AU$160,000 per annum, based on experience and qualifications. This range is inclusive of superannuation and is in line with industry standards for AI & Applications Solution Engineers.

Benefits:

Comprehensive health insurance and wellness programs.
Competitive retirement savings plans.
Generous time-off policies, including vacation, sick leave, and parental leave.
Employee stock purchase plan and other equity incentives.
Access to Microsoft's latest technologies and learning platforms.
Flexible work arrangements, including remote work opportunities.

Working Hours: Full-time position with standard business hours, Monday to Friday. Some flexibility is available for remote work and project-specific needs.

🎯 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 involve working closely with commercial customers to drive AI adoption and modernization.

Company Size: Microsoft is a large, multinational corporation with a global presence. This role will provide ample opportunities for collaboration and career growth within the company's extensive AI and cloud teams.

Founded: Microsoft was founded in 1975 and has since grown into one of the world's leading technology companies. The company's history and culture are deeply rooted in innovation, collaboration, and continuous learning.

Team Structure:

The AI Applications team is part of Microsoft's broader AI and cloud organization, working closely with engineering leaders and platform teams.
The team is structured to support commercial customers, with a focus on driving AI adoption and modernization.
Collaboration with design, marketing, and business teams is essential to ensure customer success and market relevance.

Development Methodology:

Microsoft follows Agile methodologies for software development, with a focus on iterative improvement and customer feedback.
The company emphasizes code review, testing, and quality assurance practices to ensure the reliability and performance of its products.
Deployment strategies, CI/CD pipelines, and server management are critical aspects of the role, with a focus on secure and scalable solution design.

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

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, requiring a strong background in AI applications development and cloud solutions. It offers significant opportunities for career growth, technical skill development, and leadership potential.

Reporting Structure: The role reports directly to the AI Applications team lead, with close collaboration with engineering leaders and platform teams. There may be opportunities for team management and architecture decision-making as the role progresses.

Technical Impact: This role has a significant impact on Microsoft's AI platform and commercial customers' ability to adopt and modernize their applications using AI. It requires a deep understanding of AI development lifecycle, modern application development practices, and customer engagement strategies.

Growth Opportunities:

Career Progression: This role offers clear paths for career progression within Microsoft's AI and cloud organization, with opportunities to specialize in specific AI domains or take on leadership roles.
Technical Skill Development: The role provides ample opportunities to develop deep expertise in AI applications development, cloud solutions, and Azure AI services. It also encourages continuous learning and exploration of emerging technologies.
Technical Leadership: As the role progresses, there may be opportunities to take on technical leadership responsibilities, influencing architecture decisions and driving AI adoption across Microsoft's customer base.

🌐 Work Environment

Office Type: Microsoft's offices are designed to foster collaboration, creativity, and innovation. They feature open-plan workspaces, meeting rooms, and dedicated areas for quiet work and reflection.

Office Location(s): The role is based in Sydney, New South Wales; Canberra, Australian Capital Territory; Perth, Western Australia; Brisbane, Queensland; and Melbourne, Victoria, Australia. Remote work is also an option for this role.

Workspace Context:

Collaboration: The role requires close collaboration with engineering leaders, platform teams, and commercial customers. The office environment is designed to facilitate this collaboration, with dedicated spaces for team meetings and workshops.
Development Tools: Microsoft's offices are equipped with state-of-the-art development tools, multiple monitors, and testing devices to support AI applications development and cloud solutions.
Cross-Functional Collaboration: The role involves working closely with design, marketing, and business teams to ensure customer success and market relevance. The office environment is designed to facilitate this cross-functional collaboration, with dedicated spaces for team meetings and workshops.

Work Schedule: The role follows a standard business hours schedule, Monday to Friday. Some flexibility is available for remote work and project-specific needs.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A hands-on technical assessment to evaluate your proficiency in AI applications development and cloud solutions. This may include coding challenges, architecture workshops, or Proof of Concepts.
Customer Engagement: A role-play scenario or case study to assess your ability to engage with commercial customers and drive AI adoption.
Behavioral Questions: A series of behavioral questions to evaluate your problem-solving skills, communication, and collaboration abilities.
Final Evaluation: A final evaluation to assess your fit for the role and Microsoft's company culture.

Portfolio Review Tips:

AI Applications Projects: Highlight your proficiency in AI applications development through relevant projects, with a focus on modern application development practices and customer engagement.
Cloud Solutions: Demonstrate your ability to design scalable and secure AI solutions, with a focus on Azure AI services and Responsible AI principles.
Customer Success Stories: Showcase your experience in driving AI adoption and customer success, with a focus on hackathons, architecture workshops, and Proof of Concepts.

Technical Challenge Preparation:

AI & Applications: Brush up on your knowledge of AI applications development, cloud solutions, and Azure AI services. Familiarize yourself with modern application development practices and Responsible AI principles.
Customer Engagement: Prepare for customer engagement scenarios by researching Microsoft's AI platform and commercial customer needs. Develop a clear understanding of how AI can drive value for customers and address their pain points.
Problem-Solving: Refresh your problem-solving skills and be prepared to discuss your approach to complex challenges in AI applications development and customer engagement.

ATS Keywords: (Organized by category)

Programming Languages: Python, Java, C#, JavaScript, TypeScript
Web Frameworks: React, Angular, Vue.js, .NET, Azure Functions
Server Technologies: Azure, AWS, GCP, Kubernetes, Docker
Databases: Azure Cosmos DB, Azure SQL Database, Azure Database for PostgreSQL, Azure Database for MySQL
Tools: Visual Studio Code, Git, JIRA, Azure DevOps, Azure Portal
Methodologies: Agile, Scrum, Kanban, DevOps, CI/CD
Soft Skills: Communication, Collaboration, Problem-Solving, Customer Engagement, Influencing, Negotiation
Industry Terms: AI, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Cloud Computing, Serverless Architecture, Microservices, Containers, AI Ethics, AI Fairness, AI Accountability

🛠 Technology Stack & Web Infrastructure

AI & Applications Technologies:

AI Foundry: Familiarity with Microsoft's AI Foundry platform is essential for this role. It enables developers to build, train, and deploy AI models at scale.
Azure AI Services: Proficiency in Azure AI services, such as Azure Machine Learning, Azure Bot Service, and Azure Form Recognizer, is required for this role.
Responsible AI: A solid understanding of Responsible AI principles, including fairness, accountability, and transparency, is crucial for designing and deploying ethical AI solutions.

Cloud & Server Technologies:

Azure: Proficiency in Azure cloud services, including Azure Virtual Machines, Azure Kubernetes Service, and Azure Functions, is essential for this role.
Serverless Architecture: Familiarity with serverless architecture and its benefits for AI applications development is required.
Microservices: A solid understanding of microservices architecture and its application to AI applications development is crucial.

Development & DevOps Tools:

Version Control: Proficiency in version control systems, such as Git, is required for this role.
CI/CD Pipelines: Familiarity with CI/CD pipelines and their application to AI applications development is essential.
Monitoring Tools: Proficiency in monitoring tools, such as Azure Monitor and Application Insights, is required for this role.

👥 Team Culture & Values

AI Applications Values:

Innovation: Microsoft values innovation and encourages its employees to think creatively and push the boundaries of what's possible in AI applications development.
Customer Obsessed: Microsoft is committed to understanding and addressing the needs of its commercial customers. This role requires a deep focus on customer engagement and success.
One Microsoft: Microsoft values collaboration and cross-functional teamwork. This role requires close collaboration with engineering leaders, platform teams, and commercial customers.
Growth Mindset: Microsoft encourages its employees to embrace a growth mindset, continuously learning and improving their skills in AI applications development and cloud solutions.

Collaboration Style:

Cross-Functional Integration: This role requires close collaboration with design, marketing, and business teams to ensure customer success and market relevance.
Code Review Culture: Microsoft emphasizes code review and peer programming practices to ensure the quality and reliability of its AI applications and cloud solutions.
Knowledge Sharing: Microsoft encourages knowledge sharing and technical mentoring to foster a culture of continuous learning and improvement.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI Applications Complexity: This role requires a deep understanding of AI applications development and the ability to tackle complex challenges in modern application development practices.
Cloud Solutions Scalability: The role involves designing scalable and secure AI solutions, with a focus on Azure AI services and Responsible AI principles.
Customer Engagement: This role requires a strong focus on customer engagement and the ability to drive AI adoption and success for commercial customers.
Emerging Technologies: The role offers opportunities to explore and adopt emerging technologies in AI applications development and cloud solutions.

Learning & Development Opportunities:

AI Applications Specialization: This role provides opportunities to specialize in specific AI domains, such as natural language processing, computer vision, or machine learning.
Conference Attendance: Microsoft encourages its employees to attend industry conferences and events to stay up-to-date with the latest trends and best practices in AI applications development and cloud solutions.
Technical Mentorship: The role offers opportunities for technical mentorship, with close collaboration with engineering leaders and platform teams.

💡 Interview Preparation

Technical Questions:

AI Applications Fundamentals: Brush up on your knowledge of AI applications development, modern application development practices, and Responsible AI principles.
AI Architecture: Prepare for architecture workshops and Proof of Concepts, demonstrating your ability to design scalable and secure AI solutions.
Customer Engagement: Develop a clear understanding of Microsoft's AI platform and commercial customer needs. Prepare for customer engagement scenarios and role-play exercises.

Company & Culture Questions:

AI Applications at Microsoft: Research Microsoft's AI applications development and cloud solutions, with a focus on Azure AI services and Responsible AI principles.
Customer Success: Prepare for questions about driving AI adoption and customer success, with a focus on hackathons, architecture workshops, and Proof of Concepts.
Microsoft's Company Culture: Familiarize yourself with Microsoft's company culture, values, and commitment to innovation, customer obsession, and continuous learning.

Portfolio Presentation Strategy:

AI Applications Projects: Highlight your proficiency in AI applications development through relevant projects, with a focus on modern application development practices and customer engagement.
Cloud Solutions: Demonstrate your ability to design scalable and secure AI solutions, with a focus on Azure AI services and Responsible AI principles.
Customer Success Stories: Showcase your experience in driving AI adoption and customer success, with a focus on hackathons, architecture workshops, and Proof of Concepts.

📝 Enhancement Note: The interview process for this role is designed to assess your technical proficiency in AI applications development and cloud solutions, as well as your ability to engage with commercial customers and drive AI adoption. It is essential to prepare thoroughly and tailor your responses to Microsoft's company culture and values.

📌 Application Steps

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

Customize Your Portfolio: Tailor your AI applications projects and cloud solutions to demonstrate your proficiency in modern application development practices and customer engagement.
Optimize Your Resume: Highlight your relevant experience in AI applications development, cloud solutions, and customer success. Include specific examples of your ability to drive AI adoption and modernization.
Prepare for Technical Challenges: Brush up on your knowledge of AI applications development, cloud solutions, and Azure AI services. Familiarize yourself with modern application development practices and Responsible AI principles.
Research Microsoft: Understand Microsoft's AI platform, commercial customer needs, and company culture. Prepare for customer engagement scenarios and role-play exercises.

📝 Enhancement Note: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with Microsoft before making application decisions.

Cloud & AI Solution Engineer - AI & Agentic Applications