Principal AI Engineer – Generalized Agents and Incubations

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 high-impact 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

Architect and implement agentic AI systems that generalise across domains, tools, and workflows within Microsoft Security. Drive technical innovation through rapid prototyping, experimentation, and integration of cutting-edge AI techniques. Collaborate deeply with research, product, and engineering teams to translate ideas into production-grade solutions. Influence engineering culture by setting high standards for code quality, scalability, and security in AI systems. Lead technical strategy and decision-making across incubation efforts, ensuring alignment with long-term product vision.

Qualifications

12+ years of experience in software engineering or AI systems development, with a strong track record of shipping impactful products. Deep expertise in machine learning, deep learning, and agentic workflows; experience with LLMs and autonomous agents preferred. Proven ability to lead complex technical initiatives and influence cross-functional teams without formal authority. Proficiency in Python, PyTorch/TensorFlow, and experience with scalable cloud infrastructure (Azure preferred). Experience working in startup-like or incubation environments with a bias for execution and ownership.

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.