Job Description

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

The Generalized Agents and Incubations team is a fast-moving innovation group within Microsoft Security, focused on building agentic AI systems that generalise across tasks, tools, and domains. Operating with a startup-like culture, we drive rapid experimentation, deep technical ownership, and bold problem-solving. Our mission is to redefine how security is delivered by developing intelligent, scalable, and secure AI products that protect billions of users. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities
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Build and experiment with GenAI models and agentic workflows, contributing to the development of intelligent security solutions. Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems. Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment. Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems. Stay curious and engaged, exploring emerging AI technologies and bringing fresh ideas into the team's innovation pipeline.

Qualifications

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5+ years of experience in software engineering and machine learning development. Experience contributing to full-stack development or working with cloud infrastructure (Azure preferred). Proficiency in Python and familiarity with frameworks like PyTorch or TensorFlow. Exposure to GenAI, LLMs, or agentic systems through coursework, projects, or internships. Strong problem-solving skills and eagerness to learn in a fast-paced, ambiguous environment.



Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.