Microsoft Specialized Clouds (MSC) AI Innovation is an AI-first team that incubates, builds, and accelerates solutions aligned with Microsoft’s business priorities for sovereign and regulated cloud environments. We specialize in “0 to 1” work, taking ideas from concept to MVP and evolving them into scalable, production-ready solutions.
As a Software Engineer Intern in the MSC IL AI Innovation team, you will contribute to the design, development, testing, and delivery of AI-powered features and services for Microsoft Specialized Clouds organization. You will work with mentors and engineering team members to build reliable, secure, and responsible software, while learning modern AI engineering practices across prompts, retrieval, agents, evaluation, observability, and cloud-native development.
This internship is designed for entrepreneurial, creative, and highly motivated students who are passionate about building AI-native products, taking ownership in ambiguous “0 to 1” environments, and using AI throughout the engineering lifecycle to solve complex, high-impact problems in sovereign and regulated cloud environments.
Responsibilities
Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.
Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.
Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.
Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.
Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.
Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.
Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.
Document work clearly and share implementation details with team members to support continuity and knowledge sharing.
Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.
Qualifications
Required qualifications
Currently pursuing an M.Sc. or M.A. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least 3 semesters remaining
Programming experience in one or more general-purpose languages such as Python, C#, Java, JavaScript/TypeScript, C++, or similar.
Understanding of core computer science fundamentals, including data structures, algorithms, software design, and debugging.
Ability to communicate clearly, collaborate effectively, adapt across technologies and engineering tasks, and learn quickly in a team environment.
Preferred qualifications
Currently pursuing a Doctorate in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least one semester/term remaining after the internship.
1+ year of programming experience.
6+ months of experience delivering projects in teams, through coursework, internships, open-source work, research, or personal projects.
1+ year of experience developing and applying data structures and algorithms.
Familiarity with AI, machine learning, generative AI, LLMs, agents, retrieval-augmented generation, prompt engineering, or evaluation methods.
Basic familiarity with cloud platforms, REST APIs, SDKs, CI/CD, telemetry, or observability.
Interest in responsible AI, security, reliability, and building software for regulated or sovereign cloud environments.
Demonstrated entrepreneurial mindset, creativity, initiative, ownership, and persistence in identifying meaningful problems, exploring unconventional solutions, and turning ambiguous ideas into tangible outcomes in “0 to 1” product spaces.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Currently pursuing an M.Sc. or M.A. in Computer Science, Software Engineering, AI, ML, or related technical field with at least 3 semesters remaining
- Programming experience in one or more general-purpose languages (Python, C#, Java, JavaScript/TypeScript, C++)
- Understanding of core computer science fundamentals including data structures, algorithms, software design, and debugging
- Ability to communicate clearly, collaborate effectively, adapt across technologies, and learn quickly in a team environment
- Currently pursuing a Doctorate in CS, Software Engineering, AI, ML, or related field (with at least one semester/term remaining after the internship)
- 1+ year of programming experience
- 6+ months delivering projects in teams via coursework, internships, open-source, research, or personal projects
- 1+ year developing and applying data structures and algorithms
- Familiarity with AI/ML, generative AI, LLMs, agents, retrieval-augmented generation, prompt engineering, or evaluation methods
- Basic familiarity with cloud platforms, REST APIs, SDKs, CI/CD, telemetry, or observability
- Interest in responsible AI, security, reliability, and building software for regulated or sovereign cloud environments
- Demonstrated entrepreneurial mindset, creativity, initiative, ownership, and persistence in ambiguous 0-to-1 product spaces
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
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