Keeping ChatGPT Fast in the Agentic Era
ChatGPT Performance @OpenAI, Engineering Leader, AI and Cloud Infrastructure, Platform Engineering, Performance and Reliability, Ex-Netflix.
Engineering talks on scaling AI in production.
Browse the QCon AI Boston sessions. Senior practitioners share the architectural patterns they use to manage context lifecycles and evaluation loops under heavy load.
Senior engineers from these companies attend QCon to stay ahead.
QCon AI Boston 2026 Sessions
Browse Confirmed Talks and Keynotes (More to Come)
Beyond Prompting: Context Engineering for Production-Grade AI
Principal Developer Advocate @Redis, Expert in Distributed Systems, Databases, and Software Development, Previously @AWS, @Elastic, and @Confluent
SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Software Engineer @DoorDash, 10+ Years in Software Engineering
Zero Trust Agent Systems that Pass Audits and Still Ship
Senior Site Reliability Engineer (DevSecOps + Cloud + AIOps) @Broadcom, Creator of DockSec, Docker Captain, and IEEE Senior Member
Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP
Senior Staff Software Engineer @LinkedIn
From Consumers to Builders: Turning 200 of our Team into Agent Creators in 2 Weeks
Principal Engineer @Forter, Previously @BigPanda and @Klarna
Serving LLMs at Scale: The Hidden KV Cache Advantage
Co-Founder & CEO @Momento, previously @NASA and @Amazon
Your Newest Employee Has Sudo Access: Blueprints to Stop AI Insider Threats
Product Security Engineer @Klaviyo, Author of "Engineering Secure Agentic Systems at Scale", Specializing in the Intersection of Quantitative Data Models and Autonomous System Security
From AI Agent Demo to Production: Automated Testing and Evaluation
Founder @Arklex.ai and CS Professor at Columbia University - Co-Director of the DAPlab
Inferencing for Enterprises
Head of Product for AI Infrastructure Platforms @JPMorganChase & Co, Previously @Solo.io, @Red Hat, and @Pivotal Software
There's a Mod for That: Opening Up AI Agent Development
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
Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models
Data Expert, Java Champion & Data Platform Director @totvs
Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray
Deepak Mohanakumar Chandramouli
Senior Machine Learning Engineer @Apple, 20+ Years in Distributed Systems and Scalable Data/Compute/ML Infrastructure
Senior Software Engineer @Apple, Expert in Artificial Intelligence and Large-Scale Distributed Systems
Opening the Black Box: Critical Explainability for AI Agent Tool Selection with Kiji Inspector
Head of 575 Lab @Dataiku, Google Developer Expert for ML/AI, Member of the Google Developer Board, Previously Principal ML Engineer @Digits
Decision-Driven Evaluation for Generative AI
Principal Applied Scientist - AI @Zillow, ML and Gen AI, Former Data Science Teacher & Engineering Director
From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash
Head of Machine Learning and Artificial Intelligence, New Business Verticals @DoorDash, Previously Machine Learning Lead @Netflix, 15+ Years in Machine Learning
Prompt to Prod: Engineering an Autonomous SDLC at Scale
Sr. Director of Software @Roblox, Author of "Tech Leadership: The Blueprint for Evolving from Individual Contributor to Tech Leader", Previously @Google and @Instagram
The Five Stages of AI Maturity in Engineering Organizations — Where and Why Teams Get Stuck
Co-Founder & CEO @Quotient, Co-Author of "Research-Driven Engineering Leadership", Official Member Forbes Technology Council, Previously @Red Hat and @Invitae
AI First, Quality Always: Agentic SDLC Adoption Case Study
Engineering Director @Red Hat AI, 20+ Years in Software
Building GenAI Platform at DoorDash
Tech Lead, AI Infrastructure @DoorDash
Staff Engineer / Engineering Manager Machine Learning Platform @DoorDash
From Fab To Token - The State Of The Market
Member of Technical Staff @SemiAnalysis, Previously Distinguished Technologist @HPE
Scaling LLM-Based Ranking Systems for Latency-Critical Search & Recommendation Workloads
Lead Engineer @LinkedIn on LLM Inference Team, Previously Worked on Azure Identity & Authorization and Microsoft Office
Building Reusable Evaluation Frameworks for Agentic AI Products
Principal Data Scientist @Elastic
From Hype to Habit: Conquering AI Adoption at Zoox
Leading Developer Experience @Zoox, Previously Director of Site Reliability Engineering @AppLovin
Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform
Senior Engineer @Spotify
The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents
Member of Technical Staff @OpenAI, Co-Author of "Engineering Lakehouses with Open Table Formats" and Writes The Agent Stack
Actors for Agents: Patterns for Production AI
Founder & CEO @Mad Labs, Entrepreneur, Engineering Executive, Founder, Investor
Adaptive Recommenders in the Real World: Inference, Evals, and System Design
Senior Engineering Manager @Zocdoc, Previously @Netflix, @Twitter and @Walmart
You Can't Trust Your AI Bill. And Neither Can I.
CTO & Founder @CloudZero, Engineering-Led Cloud Cost Optimization Pioneer & 23-Year Software Startup Veteran
Decision Models in Agentic Architectures: From Production to Agent Skills
Co-founder and CEO @Aletyx - Bridging Symbolic AI + GenAI for Enterprise AI, PPMC Apache KIE - 17+ yrs Driving Drools, jBPM and Kogito, Previously @IBM and @Red Hat
Finetuning Your Embedding Model for Better Search: Learning from Agentic Search at Dell
AI Applied Scientist & Distinguished Engineer @Dell, 7+ Years Experience Turning Cutting Edge AI into Real World Impact
From Natural Language to Trusted AI: A Hybrid Architecture for Safe, Accurate, and Context-Aware AI Query Generation
Principal Group Director of Data and Applied AI Science @Microsoft, Advisor and Lecturer for MIT’s "Break Through Tech AI" Program
What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents
Developer Relations Engineer @Kilo Code
Batch Intelligence at Scale: Cost-Efficient Multi-Agent LLM Workflows with Built-In Resilience
Senior Software Engineer @Walmart Global Tech
From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs
Vice President of Ecosystem, Product Engineering @RelationalAI, Previously @Thoughtworks
Closing Keynote with Meryem Arik
Co-Founder and CEO @Doubleword (Previously TitanML), Recognized as a Technology Leader in Forbes 30 Under 30, Recovering Physicist
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Architect @Cisco
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Senior Engineer @Tesco PLC
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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
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