Artificial intelligence is moving beyond traditional generative AI and toward agentic AI systems capable of reasoning, planning, using tools, and executing multi-step tasks. This shift introduces new challenges for software architects and engineering teams building systems that must remain scalable, reliable, maintainable, and production-ready.

In this session, Timothy Ogunwade explores how software architecture needs to evolve for the agentic AI era. The discussion focuses on the architectural considerations involved in designing software systems that can support AI agents while maintaining scalability, resilience, flexibility, and long-term maintainability.

The session looks beyond AI hype and focuses on the engineering and architectural thinking required to build systems that can scale as AI agents become increasingly integrated into modern software applications and enterprise technology environments.

You will learn about the changing role of software architecture in agentic AI, the challenges of designing scalable AI-enabled systems, and the architectural principles that can help organizations move from AI experimentation toward robust production systems.

This session is particularly relevant for software architects, solution architects, developers, engineering leaders, technical leads, and technology professionals interested in agentic AI, AI-powered applications, system design, and modern software architecture.

Key topics include:

Watch the session to understand how architects and engineering teams can approach agentic AI as an architectural challenge, rather than simply adding AI capabilities to existing applications.

This session was presented at the Software Architecture Conference 2026, organized by C# Corner.