Andrew Baird

The architect role is changing faster than at any point since the cloud itself emerged. AI is reshaping not just what architects build, but how they think, where they spend their time, and what organizations expect.

You’ve taken AI agents from prototype to production, and now you own the hard parts: orchestration sprawl, brittle integrations, and behavior hard to test or observe. The patterns that hold up in production look a lot like ones SOA builders already know.

Large language models and agentic tools have reached enterprise viability, with Service Oriented Architecture (SOA) principles providing the foundation for robust agentic systems.

Are you concerned about running mission-critical applications on AWS? Did you know that AWS hosts mission-critical applications for some of the largest and most-regulated businesses on earth?

In this chalk talk, discover how you can model your development workflows using AWS tools. By modeling your SDLC requirements, you can help your developers adopt organizational best practices and governance standards through auditable and versioned artifacts.

Speed in software development requires being able to equip development teams with tools and guardrails for DevOps, security, and infrastructure configuration. Too often, central teams find they need to piece together their own custom solutions or compromise the speed of their development organization in order to maintain standards.

Enabling CI/CD across your organization through repeatable patterns and infrastructure-as-code templates can unlock development speed while encouraging best practices. The SEAD Architecture team at WarnerMedia helps encourage CI/CD adoption across their company.