QCon AI Boston 2026 | June 1-2 | The AI conference for senior developers, architects and engineers

AI-driven engineering: How real teams accelerate the entire software lifecycle with AI.

AI is shifting from experimental pilots to essential infrastructure. Senior architects and engineers are now tasked with embedding AI to innovate faster, design smarter, and deploy enterprise-scale systems securely and reliably.

QCon AI Boston 2026 focuses on the practical realities of AI-driven engineering. Taking place June 1-2, 2026, at the George Sherman Union in Boston, this event is designed for those looking to solve the hard problems of scaling AI in complex enterprise environments.

QCon AI is a trusted, hype-free space to learn what actually works, directly from the engineers building and scaling AI systems in real organizations. Every session is curated by practitioners who share blueprints, proven patterns, and unfiltered lessons (including failures).

What you'll learn:
- Blueprints for Enterprise AI: Proven frameworks from leaders who have built them.
- Architecting for Scale: Implementing resilient, production-ready AI platforms.
- Accelerating the SDLC: Using AI across the lifecycle to increase speed and velocity.
- Operating AI Reliably: Mastering MLOps, observability, and governance for production.
- Governing Securely: Ensuring compliance, security, and measurable value.
- Optimizing Costs: Managing AI scaling costs effectively while delivering value.

As Eder Ignatowicz, QCon AI Boston 2026 Conference Chair, Senior Principal Software Engineer and Architect @Red Hat, puts it:
"Forget the AI hype. QCon AI is focused on helping you build and scale AI reliably. The teams speaking at QCon AI share how they are delivering and scaling AI-warts and all."

Why attend QCon AI Boston 2026?
- From production code to production AI: Learn directly from senior engineers solving the hard problems of scaling AI.
- Leave with patterns and confidence: Take home actionable frameworks to build AI at scale.
- Solve real-world challenges: Navigate compliance, security, technical debt, and cost constraints.
- Accelerate team velocity: Bridge the gap between Dev, MLOps, Platform, and Data teams.
- Build your team's capability: Equip your engineers with durable, relevant skills for the AI era.

AI implementation is a collaborative effort. Whether you are a Staff+ Engineer, Architect, or Engineering Leader, QCon AI Boston 2026 is structured to support shared learning and better cross-functional execution.

Join us in Boston to move beyond the hype and take your AI strategy from prototype to production.