QCon AI Boston 2026

What You’ll Learn

A two-day Boston conference brings senior engineers and AI architects together to share practical, production-grade AI strategies.

QCon AI 2026 runs June 1-2 at Boston University's George Sherman Union. The conference focuses on enterprise AI development and architecture, targeting senior engineers, architects and engineering leaders working to scale reliable, production-grade AI agents and systems.

The event features peer-curated sessions covering real-world patterns, architectural blueprints and operational practices for building and scaling AI in complex enterprise environments. Organizers say the conference prioritizes practical knowledge sharing without overarching sponsor influence.

Attendees can expect actionable frameworks across AI-accelerated software development, organizational transformation, system architecture, security and cost management.

QCon AI 2026 Focus Areas

  • Accelerate your SDLC: Using AI to speed up the entire software development lifecycle.
  • Lead AI transformations: Strategies for guiding teams, aligning strategy and fostering culture around AI adoption.
  • Architect for scale: Designing resilient, production-ready AI systems and platforms.
  • Govern securely: Ensuring compliance, security and measurable business value in AI deployments.
  • Operate AI reliably: Mastering machine learning operations (MLOps), observability and governance for production AI.
  • Optimize costs: Managing and scaling AI inference costs effectively.

Who Should Attend QCon AI 2026

The conference is designed for senior technical practitioners and leaders directly involved in building or scaling AI systems.

  • Senior engineers scaling AI systems
  • Engineering leaders guiding AI transformations
  • Software architects designing scalable AI platforms
  • ML/MLOps engineers building reliable AI operations

QCon AI 2026 Sponsors

Notable sponsors to date include: