📋 Job Details at a Glance 📍 Location Mumbai, Maharashtra, India 🏢 Company Microsoft 👥 Experience 5+ years 🎓 Qualification Bachelor's / Master's Degree in Computer Science, Information Technology, Engineering, AI/ML, or Related Technical Field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹35–55 LPA* 🏢 Industry Technology 🛠 Key Skills Azure AI Foundry Azure OpenAI Service Azure AI Services GitHub Copilot Semantic Kernel AI/ML .NET Java Python Kubernetes Solution Engineering – Cloud & AI Apps at Microsoft — Full Details & How to Apply Microsoft is seeking a Solution Engineer for Cloud & AI Apps in Mumbai, Maharashtra, India , offering a competitive salary of ₹35–55 LPA . This role is pivotal in shaping AI solutions using cutting-edge Azure technologies, providing a unique opportunity to work with industry-leading tools. The demand for AI and cloud solutions is surging, making the Solution Engineering – Cloud & AI Apps role at Microsoft crucial for driving innovation in the technology sector. As a leader in this space, Microsoft is at the forefront of developing transformative AI applications that enhance user experiences and improve business efficiency. What sets Microsoft apart as an employer is its scale and commitment to innovation. Founded in 1975 , Microsoft has over 220,000 employees globally, fostering a culture that encourages creativity and collaboration. The company’s recent advancements in AI technologies further solidify its position as a top choice for tech professionals. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's / Master's Degree in Computer Science, Information Technology, Engineering, AI/ML, or Related Technical Field and 5+ years experience to consider this role. The attractive salary of ₹35–55 LPA* makes this position even more appealing for qualified candidates. In this role, you will gain hands-on experience with essential skills such as Azure AI Foundry , Azure OpenAI Service , GitHub Copilot , AI/ML , .NET , Java , Python , Kubernetes , APIs , Microservices , Containers , DevOps , and CI/CD . This experience will open doors to advanced career opportunities in AI and cloud technologies, positioning you for future leadership roles. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Solution Engineering – Cloud & AI Apps role at Microsoft is to design and implement innovative AI solutions that enhance operational efficiency and meet client needs. Design and implement AI solutions using Azure AI Services to meet client requirements and enhance operational efficiency. Utilize Azure OpenAI Service to develop innovative applications that leverage machine learning capabilities for improved functionality. Collaborate with cross-functional teams, including product management and engineering, to ensure alignment on project goals and deliverables. Analyze performance metrics to optimize AI applications, ensuring they meet predefined KPIs and user satisfaction levels. Take ownership of project deliverables, ensuring timely completion and adherence to quality standards throughout the development process. Document technical specifications and communicate project updates to stakeholders, facilitating transparency and collaboration across teams. Engage with clients to troubleshoot issues and provide tailored solutions, enhancing customer satisfaction and loyalty through effective problem-solving. This role fosters an ownership culture, allowing you to directly impact project outcomes and client success through your technical expertise. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile that includes advanced technical competencies essential for developing AI applications. Technical Skills Azure AI Foundry — advanced — essential for developing scalable AI applications, requiring proficiency in its deployment and integration. GitHub Copilot — intermediate — used for code generation and enhancing productivity in software development, crucial for this role. Kubernetes — advanced — utilized for container orchestration, ensuring efficient deployment of applications in cloud environments. APIs — intermediate — foundational for building modular applications that can easily integrate with existing systems. Microservices — intermediate — critical for developing scalable applications that enhance system flexibility and maintainability. DevOps — advanced — essential for continuous integration and delivery, ensuring rapid deployment cycles and high-quality software. CI/CD — advanced — utilized to automate the deployment process, enhancing the efficiency and reliability of software releases. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in solution engineering or architecture. Candidates must hold a Bachelor's or Master's degree in Computer Science , Information Technology , Engineering , or a related field. Eligible batches include 2023 to 2026 , allowing fresh graduates to apply and start their careers in a leading tech company. A minimum of 5 years of experience is required, emphasizing the need for candidates with a solid background in technical pre-sales or solution architecture. Academic performance should ideally reflect a CGPA of 7.0 or above, indicating a strong grasp of technical concepts. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, including your educational background, relevant experience, and a link to your portfolio or GitHub showcasing your projects. Pro tip: Highlight specific projects that utilized Azure AI Services or GitHub Copilot to demonstrate your hands-on experience and technical capabilities. Salary for Solution Engineering – Cloud & AI Apps at Microsoft 💰 Compensation ₹35–55 LPA* The advertised compensation for the Solution Engineering – Cloud & AI Apps role at Microsoft is ₹35–55 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Solution Engineering – Cloud & AI Apps Upskilling with the right resources significantly enhances your chances of being selected for this role, as it demonstrates your commitment and expertise in relevant technologies. Recommended Courses & Resources Azure AI Foundry — Essential for understanding AI solutions in cloud environments. Azure OpenAI Service — Key for leveraging AI capabilities in applications. Java — Important for backend development in cloud applications. Python — Widely used in AI/ML projects, crucial for this role. KodNest — Helps in mastering coding skills relevant to cloud technologies. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills and experiences for the role. ❌ Neglecting practical applications — Showcase technical skills in past projects. ❌ Using generic language — Provide specific examples that demonstrate problem-solving abilities. ❌ Overlooking formatting — Ensure the resume is easy to read. ❌ Not preparing for technical interviews — Practice relevant coding challenges. ❌ Ignoring the application deadline — Submit applications well before the deadline. Before You Apply — Checklist ✅ Research Microsoft ’s recent projects and initiatives in AI and cloud technologies. ✅ Tailor your resume to include relevant skills and experiences specific to the job description. ✅ Prepare a cover letter that articulates your interest in AI and cloud solutions. ✅ Gather references from previous employers or professors who can vouch for your technical skills. ✅ Ensure your LinkedIn profile is updated and reflects your current skills and experiences. ✅ Practice common technical interview questions related to Azure and AI technologies. ✅ Review the job description thoroughly to understand the key responsibilities and requirements. ✅ Submit your application well before the deadline to avoid last-minute issues. Resume Tailoring & ATS Keywords for Solution Engineering – Cloud & AI Apps Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Solution Engineering Cloud Applications AI Technologies Azure AI Foundry GitHub Copilot Kubernetes Microservices DevOps CI/CD Technical Pre-Sales Application Development Cloud Consulting Resume Tips for This Role Highlight specific projects involving Azure AI Services to demonstrate relevant experience. Emphasize teamwork and collaboration skills, particularly in cross-functional settings. Include links to your GitHub or portfolio showcasing relevant coding projects. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated skills or experiences that do not align with the Solution Engineering – Cloud & AI Apps role. How to Apply for Solution Engineering – Cloud & AI Apps at Microsoft Apply Now — Microsoft Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form with accurate personal and educational details. After submission, expect a confirmation email regarding your application status. Track your application through the portal for updates on the hiring process. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Microsoft NexisGrow.com does not charge any fees for job applications. Microsoft Microsoft was founded in 1975 and is headquartered in Redmond, Washington . With a global workforce of over 220,000 employees , the company has a significant presence in Mumbai, Maharashtra, India , contributing to its innovative strategies across various markets. This extensive footprint enables Microsoft to influence technology on a worldwide scale. The core offerings of Microsoft include the Azure cloud platform , Office 365 , and the Windows OS . These products are integral to businesses globally, providing essential tools for productivity and collaboration. The Azure AI Services and GitHub Copilot are also pivotal in driving digital transformation for enterprises. Microsoft has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.4 , reflecting high employee satisfaction. The company emphasizes growth opportunities through various employee programs, fostering a culture of innovation and inclusivity. Such recognition highlights Microsoft 's dedication to maintaining a supportive work environment. Recently, Microsoft announced a substantial $20 billion investment in AI technologies, underscoring its commitment to leading advancements in this field. This initiative aims to enhance the capabilities of its Azure AI Foundry and other AI-driven solutions, positioning Microsoft at the forefront of technological innovation. For freshers in technology, Microsoft offers unparalleled access to cutting-edge technologies and a robust career development framework. The opportunity to work with tools like Azure OpenAI Service and Kubernetes allows new talent to gain invaluable experience in a rapidly evolving industry, making Microsoft a strong launchpad for their careers. Company Details Industry Technology Location Mumbai, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 microsoft.eightfold.ai Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Solution Engineering – Cloud & AI Apps at Microsoft? Eligibility Tap to expand + Answer Candidates with Bachelor's / Master's Degree in Computer Science, Information Technology, Engineering, AI/ML, or Related Technical Field and 5+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Azure AI Foundry, Azure OpenAI Service, Azure AI Services, GitHub Copilot, Semantic Kernel. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹35–55 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Microsoft? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Azure AI Foundry, Azure OpenAI Service, Azure AI Services, GitHub Copilot, Semantic Kernel. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Solution Engineering – Cloud & AI Apps interview? Preparation Tap to expand + Answer (1) Core concepts of Azure AI Foundry, Azure OpenAI Service, Azure AI Services, GitHub Copilot, Semantic Kernel, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Microsoft research, (5) Clear communication. ? What is the work culture like at Microsoft? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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