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 MSecAI Generalised Agents Team operates as an incubations unit within Microsoft Security, embracing a startup-like culture to drive innovation in AI. Our mission is to build agentic systems that generalise across tasks, tools, and domains--enabling secure, scalable, and intelligent automation. We thrive on rapid experimentation, lean execution, and deep technical ownership, crafting AI products that redefine how security is delivered and experienced. With a focus on agility, cross-functional collaboration, and bold problem-solving, we aim to pioneer the next wave of AI-driven transformation in cybersecurity. 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.
Qualifications
10+ years of hands-on experience in machine learning, deep learning, or agentic systems, with a strong track record of shipping AI solutions.
Proven experience (2+ years) leading engineering teams in AI product development, preferably within startup or incubation-style environments.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred. - Proficiency in Python and frameworks such as PyTorch or TensorFlow; familiarity with agentic workflows and LLM integration.
Demonstrated ability to drive end-to-end product development in fast-paced, ambiguous settings with a bias for execution.
Responsibilities
Lead and mentor a high-performing engineering team focused on building agentic AI systems for security applications.
Foster a startup-like culture of agility, ownership, and rapid experimentation to accelerate product innovation.
Drive end-to-end development of AI-powered products, from ideation and prototyping to scalable deployment. Cultivate an inclusive, growth-oriented team culture that values curiosity, bold thinking, and continuous learning. Collaborate across research, product, and engineering teams to integrate cutting-edge AI into real-world scenarios.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
?Industry leading healthcare
?Educational resources
?Discounts on products and services
?Savings and investments
?Maternity and paternity leave
?Generous time away
?Giving programs
?Opportunities to network and connect
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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