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Conferences / QCon

QCon AI Boston 2026

Jun 1–2, 2026 · George Sherman Union, Boston University, Boston, MA, United States

Conference
QCon Software engineering
Dates
Jun 1, 2026 – Jun 2, 2026
Venue
George Sherman Union, Boston University
Place
Boston, MA, United States
Format
In person
Status
Past
Attendance
—
Website
boston.qcon.ai
Recorded
13 sponsors · 53 speaker appearances
Notes
Talks from boston.qcon.ai/schedule/boston2026 (unconference slots omitted). Rooms (Metcalf Hall, Terrace Lounge) are in BU's George Sherman Union, the venue also announced for 2027.

Ticket prices

TicketPriceValid untilNotesSource
Conference (2 days) (until May 12)$1,490May 12, 2026web.archive.org
Conference (2 days) (after May 12)$1,590—web.archive.org

Sponsors 13

Speakers and talks 53

SpeakerCompanyRoleTalkLinks
Lizzie MatusovQuotientKeynoteThe Five Stages of AI Maturity in Engineering Organizations — Where and Why Teams Get Stuck—
Martin SpierOpenAIKeynoteKeeping ChatGPT Fast as AI Development Accelerates—
Meryem ArikDoublewordKeynoteA Few Predicted Talks From QConAI 2030—
Aditya MulikWalmartSpeakerBatch Intelligence at Scale: Cost-Efficient Multi-Agent LLM Workflows with Built-In Resilience—
Adrianna ValleKlaviyoSpeakerYour Newest Employee Has Sudo Access: Blueprints to Stop AI Insider Threats—
Advait PatelBroadcomSpeakerZero Trust Agent Systems that Pass Audits and Still Ship—
Ajay PrakashLinkedInSpeakerContext Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP—
Alex PorcelliAletyxSpeakerDecision Models in Agentic Architectures: From Production to Agent Skills—
Andrew SwerdlowRobloxSpeakerPrompt to Prod: Engineering an Autonomous SDLC at Scale—
Anuj TambwekarVijilSpeakerThe Trust Lifecycle for Safe, Secure and Reliable AI Agents—
Ben MaraneyForterSpeakerFrom Consumers to Builders: Turning 200 of our Team into Agent Creators in 2 Weeks—
Bhumik Vinodkumar ThakkarAppleSpeakerBeyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray—
Brandon WaselnukUnblockedSpeakerBuilding the Context Engine AI Agents Need—
Brendan O’LearyKilo CodeSpeakerWhat 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents—
Bruna PereiraDoorDashSpeakerSafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace—
Cassie ShumRelationalAISpeakerFrom Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs—
Catherine WeeksRed HatSpeakerAI First, Quality Always: Agentic SDLC Adoption Case Study—
Daniyar Mussakulov3T Software LabsSpeakerLeverage AI to Protect Your Data Assets... from AI—
Deepak Mohanakumar ChandramouliAppleSpeakerBeyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray—
Dio RettoriJPMorgan ChaseSpeakerInferencing for Enterprises—
Elliot PensonKlaviyoSpeakerKlaviyo Customer Agent: Building Bi-Directional Conversational Commerce at Scale—
Erik PetersonCloudZeroSpeakerYou Can't Trust Your AI Bill. And Neither Can I.—
Fabiane NardonTotvsSpeakerArchitecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models—
Francesca LazzeriMicrosoftSpeakerFrom Natural Language to Trusted AI: A Hybrid Architecture for Safe, Accurate, and Context-Aware AI Query Generation—
Hannes HapkeDataikuSpeakerOpening the Black Box: Critical Explainability for AI Agent Tool Selection with Kiji Inspector—
Hugo GuerreroKongSpeakerFrom Prompt Hacking to Architectural Determinism: Engineering Reliable GenAI Systems—
Hugo GuerreroKongSpeakerSolving Context Bloat: Semantic Tool Routing in Multi-Server MCP Environments—
Jatin AnejaZooxSpeakerFrom Hype to Habit: Conquering AI Adoption at Zoox—
Jordan NanosSemiAnalysisSpeakerFrom Fab To Token - The State Of The Market—
Julien GodfroidCast AISpeakerMaking AI Reliable in the SDLC: The Role of Deterministic Context at Scale—
Khawaja ShamsMomentoSpeakerServing LLMs at Scale: The Hidden KV Cache Advantage—
Liang ZhangKlaviyoSpeakerAutonomous Marketing at Klaviyo: Architecting Composer and 1:1 Personalization at Scale—
Mallika RaoZocdocSpeakerAdaptive Recommenders in the Real World: Inference, Evals, and System Design—
Manju RajashekharMad LabsSpeakerActors for Agents: Patterns for Production AI—
Max KozinenkoSoftServeSpeakerMaking AI Reliable in the SDLC: The Role of Deterministic Context at Scale—
Neil MansillaBarndoorSpeakerThe MCP Megalith: Surviving the 1,000-Tool Explosion and Auth Fragmentation—
Niko MatsakisAmazon Web ServicesSpeakerRIIIR: Rewrite It In *Idiomatic* Rust (with AI)—
Nimisha AsthagiriThoughtworksSpeakerBeyond the Harness: Canvas for AI Agents—
Nnenna NdukweQodoSpeakerMake Quality Executable: Verification Gates for Agentic Engineering at Scale—
Pratik RasamSpotifySpeakerMulti-Agent Patterns from Spotify’s AI Powered Advertising Platform—
Rachel ShalomDell TechnologiesSpeakerFinetuning Your Embedding Model for Better Search: Learning from Agentic Search at Dell—
Ricardo FerreiraCVS HealthSpeakerBeyond Prompting: Context Engineering for Production-Grade AI—
Robert BrennanOpenHandsSpeakerVibecoding your Own Multi-Agent Workstation—
Siddharth KodwaniDoorDashSpeakerBuilding GenAI Platform at DoorDash—
Sudeep DasDoorDashSpeakerFrom Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash—
Sundara Raman RamachandranLinkedInSpeakerScaling LLM-Based Ranking Systems for Latency-Critical Search & Recommendation Workloads—
Susan ChangElasticSpeakerBuilding Reusable Evaluation Frameworks for Agentic AI Products—
Swaroop ChitlurDoorDashSpeakerBuilding GenAI Platform at DoorDash—
Terran MelconianZillowSpeakerDecision-Driven Evaluation for Generative AI—
Venugopal JidigamWavemakerSpeakerFrom Demo to Production: Why Agentic AI Systems Fail—and How to Fix Them—
Vinoth GovindarajanOpenAISpeakerThe Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents—
Viren BaraiyaOrkesSpeakerBeyond Sandboxes: Architecting Durable Runtimes for AI Agents—
Zhou YuArklex.aiSpeakerFrom AI Agent Demo to Production: Automated Testing and Evaluation—

Sources