Software Engineering INTERN

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.

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.

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.

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