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.

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.