Peter Samouelian is a Principal Software Engineer at Red Hat, where he leads the development of AI-based software within a global partner ecosystem. His recent work focuses on architecting agentic conversational analytics applications and AI-driven recommenders designed to operate at massive scale.
Peter’s career is defined by the high-stakes intersection of cybersecurity, machine learning robustness, and system resilience. Previously serving as a Principal Investigator and Research Engineer, he led defense-grade studies into making complex digital architectures survive in adversarial and rapidly changing environments. This background gives him a unique perspective on AI: he is driven by the conviction that the truth is rarely simple and things are seldom what they seem.
Despite his leadership in high-level research, Peter remains a dedicated hands-on engineer, driven by the belief that the act of building is the only reliable way to overcome the "illusion of explanatory depth" that often clouds one's true understanding of a topic—plus, it’s just damn more fun. A Senior Member of the IEEE and a member of ACM SIGKDD, Peter remains focused on the next frontier: architecting microservice-based AI applications that are as secure and resilient as they are scalable.
