QCon AI Boston - The AI Conference For Senior Developers, Architects & Engineering Leaders

Overview

QCon AI Boston is positioned as a practical, production oriented conference designed for senior engineers, software architects and engineering leaders who are responsible for building and scaling AI at enterprise scale. The event is scheduled for June 1–2, 2026 in Boston, MA, hosted at Boston University’s George Sherman Union. The content emphasizes real world patterns and hands on learning rather than sales pitches, with a focus on improving reliability, latency, guardrails and governance for AI systems in production. Attendees can expect deep dives into patterns for context engineering, scalable evaluation loops, and safe agent based architectures that perform under load. The program is designed to help teams move from experimentation to robust, operational AI, covering infrastructure, platform standardization, and organizational practices that enable teams to deliver measurable business value.

Agenda

The agenda centers on guided, practitioner led talks and practical sessions. Highlights include sessions on context lifecycles, KV caching to reduce inference latency, production evaluation loops, and agentic AI platforms. The program is organized into themed tracks such as context engineering, inference architecture, production evaluation, guardrails and safety, platform standardization, and scaling agent based AI. Presentations feature senior technologists who have hands on experience deploying AI at scale, with attention to concrete patterns, metrics and ROI. The schedule also includes peer discussions, case studies and hands on discussions around building reliable AI infrastructures.

Speakers

Expect a lineup of senior engineers and leaders from top technology companies and research groups. Featured speakers include industry practitioners such as Jordan Nanos, Khawaja Shams, Niko Matsakis, Francesca Lazzeri, and other notable practitioners from major tech organizations. Talk topics cover practical experiences in deploying AI, maintaining reliability under high load, and building governance around AI experimentation and production.

Who should attend

This event targets senior developers, software architects, engineering managers and executives who are directly responsible for AI initiatives in large scale environments. Attendees will gain concrete playbooks for improving platform reliability, reducing latency, and deploying agent based AI with guardrails. It is also suitable for teams seeking proven patterns to justify investments to leadership and to accelerate the transition from pilot projects to production systems.

Format and FAQs

The conference emphasizes a production oriented format with talks, sessions and peer discussions rather than product pitches. It is a mixed in person and online event. Attendees should plan for a two day program with talks, Q and A, and opportunities to network with peers who are actively maintaining AI workloads. For further details on registration, venue and schedule, refer to the official QCon AI Boston pages and the event site.