{{ QCON AI BOSTON 2026. THE AI CONFERENCE FOR SENIOR DEVELOPERS, ARCHITECTS & ENGINEERING LEADERS }}
June 1-2, 2026
Boston, MA
AI-driven engineering:
Build AI systems that
survive production.
Taking AI out of the experimentation phase puts massive pressure on your platforms and your teams. See how senior peers at enterprise scale manage inference latency, build safe agent guardrails, and standardize their internal platforms.
QCon past attendees included senior engineers from these organizations
< QCON AI Boston >
What you'll learn
Blueprints for Enterprise AI. From leaders who built them.
Context engineering
Design reliable context lifecycles and retrieval paths.
Inference architecture
Reduce latency using KV caching at enterprise scale.
Production evaluation
Implement online evals and isolate failure in production.
Agentic frameworks
Build context-aware agents that operate reliably under load.
Zero-trust guardrails
Build automated checks and verify agent safety.
Platform standardization
Build generative AI infrastructure that manages technical debt.
< QCON AI Boston >
Why attend QCon AI
From production code to production AI.
Unfiltered lessons from production AI systems.
Get playbooks that actually survive real traffic.
Senior engineers share what actually works when scaling AI in complex enterprise systems.
You learn directly from senior peers who are actively maintaining these workloads.
Your team walks away with concrete patterns to handle context engineering and safe evaluation loops next sprint.
> Solve your real-world AI challenges:
Standardize AI platforms
Build generative AI infrastructure that manages technical debt.
Manage inference latency
Reduce latency using KV caching at enterprise scale.
Engineer safe guardrails
Build automated checks and zero-trust agent systems.
Scale agentic infrastructure
Build context-aware agents that operate reliably under load.
Master evaluation loops
Implement online evals and isolate failure in production.
Engineer safe guardrails
Demonstrate clear business impact and ROI.
Featured talks
Learn from senior practitioners building and scaling enterprise AI.
From Fab To Token - The State Of The Market
Jordan Nanos
Member of Technical Staff @SemiAnalysis, Previously Distinguished Technologist @HPE
From Hype to Habit: Conquering AI Adoption at Zoox
Jatin Aneja
Leading Developer Experience @Zoox, Previously Director of Site Reliability Engineering @AppLovin
Serving LLMs at Scale: The Hidden KV Cache Advantage
Khawaja Shams
Co-Founder & CEO @Momento, previously @NASA and @Amazon
Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang
Principal Data Scientist @Elastic
There's a Mod for That: Opening Up AI Agent Development
Niko Matsakis
Senior Principal Engineer @Amazon, One of the Lead Designers of the Rust Programming Language, Creator of Symposium (symposium.dev), Project Director on the Rust Foundation Board,
From Natural Language to Trusted AI: A Hybrid Architecture for Safe, Accurate, and Context-Aware AI Query Generation
Francesca Lazzeri
Principal Group Director of Data and Applied AI Science @Microsoft, Advisor and Lecturer for MIT’s "Break Through Tech AI" Program
Building GenAI Platform at DoorDash
Siddharth Kodwani
Tech Lead, AI Infrastructure @DoorDash
Swaroop Chitlur
Staff Engineer / Engineering Manager Machine Learning Platform @DoorDash
Zero Trust Agent Systems that Pass Audits and Still Ship
Advait Patel
Senior Site Reliability Engineer (DevSecOps + Cloud + AIOps) @Broadcom, Creator of DockSec, Docker Captain, and IEEE Senior Member
Featured Speakers
See some of the QCon AI speakers
< QCON AI BOSTON EXPERIENCE >
The QCon AI conference experience
Talks worth your time. Connections that matter.
Deep dives
40+ peer-curated sessions.
Real stories
Unfiltered lessons from successes and failures.
Actionable frameworks
Proven playbooks you can adapt.
Peer networking
Connect with senior engineers solving your challenges.
Focused environment
A venue built for meaningful conversations.
< YOUR TEAM AT QCON AI BOSTON >
Scaling AI takes a team
Bring your colleagues for faster results.
Learn together.
Engineering Leaders
Standardize internal platforms to manage the technical debt of AI adoption.
Build faster.
Architects
Design explicit context lifecycles and retrieval paths using proven patterns.
Reduce risk.
Staff+ Engineers
Apply distributed systems discipline to isolate failure in AI workloads.
Scale AI.
ML/MLOps Engineers
Manage inference latency and implement online evaluation loops.
Team Discounts
Register 3 or more colleagues from the same company to save.
| Number of Attendees | Discount per Ticket |
|---|---|
| 3-6 attendees | $50 |
| 7-10 attendees | $75 |
| 11-15 attendees | $100 (minimum purchase of 11 tickets) |
| 16+ attendees | $125 (minimum purchase of 16 tickets) |
To get your promo code, email info@boston.qcon.ai with your group size.
< WHY QCON AI BOSTON >
Need to convince your boss?
Use our pre-written templates
Bring back concrete architectural playbooks from senior peers. Use these patterns to:
Avoid production failures
Get the exact failure metrics and recovery tactics peer organizations use when scaling AI workloads.
Deploy agentic AI safely
Apply distributed systems discipline to move autonomous agents from retrieval to reasoning.
Align your architecture
Ensure your team returns speaking the same language about system design and latency budgets.
Pressure-test your designs
See how leading organizations solve the exact same infrastructure constraints your team is facing.
“Taking AI out of the experimentation phase stresses your entire architecture. QCon AI brings together the exact playbooks senior engineers use to stabilize these workloads.
We curate every session to give your team concrete patterns for managing context lifecycles and evaluating agentic systems under load.”
10 name:
11 Eder Ignatowicz
12 whoIs:
13 QCon AI Boston 2026 Conference Chair, Senior Principal
14 Software Engineer and Architect @RedHat
< Behind QCon AI >
Program Committee
Meet the international senior software practitioners curating the conference
Eder Ignatowicz
Senior Principal Software Engineer and Architect @Red Hat AI, InfoQ Dev Summit Boston & QCon AI Boston Conference Chair, QCon London Program Co-Chair
Meryem Arik
Co-Founder and CEO @Doubleword (Previously TitanML), Recognized as a Technology Leader in Forbes 30 Under 30, Recovering Physicist
Hien Luu
Sr. Engineering Manager @Zoox & Author of MLOps with Ray, Speaker and Conference Committee Chair
< QCON AI BOSTON VENUE >
Boston University, George Sherman Union
QCon AI Boston is held at Boston University, in the George Sherman Union*, the university's central hub.
It's the ideal environment for deep, practical conversations. A place to pressure-test designs, validate roadmaps, and connect with peers who are building and scaling production-ready AI.
*QCon AI Boston is not affiliated with Boston University and the use of Boston University facilities does not constitute or imply the endorsement or support by Boston University
< TESTIMONIALS >
Why senior engineers trust QCon
QCon provides an opportunity to obtain new ideas and approaches to developing software. I have and would continue recommending QCon to anyone interested in keeping up with the latest trends by learning from those who are defining those trends.
Jeff Hollar
Architect @Cisco
QCon is a conference by engineers for engineers. I didn't feel like I was being sold something as part of the presentations, but rather like I was learning from what is actually happening in other companies.
Christopher Prigg
Senior Engineer @Tesco PLC
QCon provides access to use-cases and practical information that truly delivers value for short-term adoption. Organizers are accessible and committed to excellence.
Higor Granzoto
Senior Developer @Padtec
"QCon is a great place for industry leaders to share what they've learned, techniques they've discovered, and pitfalls to avoid without an overarching sponsor presence."
Michael Villalobos
Engineering Manager @FairFinancial
< WHY US >
See the QCon difference
Explore past QCon talks. Watch our deep, peer-lead focus in action.
Pioneering the Future: Advancing Infrastructure for AI Agents
Shruti Bhat
Founding Team Member @Rockset - the Search and AI Database (Acquired by OpenAI), Previously Built and Launched
Cloud, Data & AI Products @Oracle, @VMware
Why Most Machine Learning Projects Fail to Reach Production and How to Beat the Odds
Wenjie Zi
Senior Machine Learning Engineer and Tech Lead @Grammarly, Specializing in Natural Language Processing, 10+
Years of Industrial Experience in Artificial Intelligence Applications
Prompt Engineering: Is it a New Programming Language?
Hien Luu
Sr. Engineering Manager @Zoox & Author of MLOps with Ray, Speaker and Conference Committee Chair
< OUR ATTENDEES >
Who attends QCon
Senior engineering leaders, software architects, and team leads making decisions on scaling AI
Software Developer
24%
Software architects, technical team lead and Higher
34%
Senior developer / Lead engineer
23%
< AN INFOQ AND QCON EVENT >
Guiding engineering teams for 20+ years
QCon and InfoQ have guided software teams through every shift.
Now we're helping teams scale AI.
Sessions are selected for depth, relevance, and real-world value.
No hidden product pitches.
Real teams. Real stories. Real results.
20 years
Helping senior dev teams adopt the right patterns and practices
550k per month
Global senior software developers relying on the InfoQ community to stay ahead
4500+ per year
Senior developers learning emerging trends and practices at our InfoQ Dev Summit and QCon international software development conferences
< OUR OTHER EVENTS >
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