When Software Becomes a User: Identity and Authorization for Agents in Production
CTO @1Password, Founded and Scaled AWS Data Protection, Previously @Rubrik and @Google
QCon AI New York 2026 / sessions
Senior engineers who run AI in production talk about the problems that come with it: code that arrives faster than it can be reviewed, rising token costs, evals you can act on, and agents that need permissions and guardrails. Each talk covers a system the speaker runs, including what they would do differently now.
The full schedule is published in early November.
Past attendees included senior engineers from
Program
CTO @1Password, Founded and Scaled AWS Data Protection, Previously @Rubrik and @Google
Distinguished Research Scientist @Google DeepMind, Lead of Gemini Audio Area and Modeling Lead for Project Astra
Staff Software Engineer @Netflix
Staff Software Engineer @Netflix - Building the AI Serving Platform
Software Engineer @Microsoft AI
Founder & CTO of Gather.dev, Host of the O'Reilly CTO Hour and the CNCF Executive Summits at KubeCon
Digital Natives GTM @OpenAI, Previously GM & Chief Customer Officer @Pryon
Senior Software Engineer at Databricks
Senior Software Engineer at Databricks
RecSys and Search Lead @DoorDash,
DORA Lead & Principal Technologist
Principal Staff Engineer @LinkedIn, Caltech CS PhD With Over 25-Year Extensive Software Development Experience
Distributed Systems Engineer @Figma (Sandbox & Caching Platforms), Previously @Momento & @AWS DynamoDB, USENIX SREcon '26 Speaker & QCon SF Track Host
CEO and Co-Founder @Headroom Labs, IEEE Senior Member, and BCS Fellow, Previously @Netflix
Software Engineer @Google DeepMind Infra Team
Co-Founder and CEO @Doubleword (Previously TitanML), Recognized as a Technology Leader in Forbes 30 Under 30, Recovering Physicist
Senior Staff Software Engineer @Google AI Edge, 20 Years of Experience in Google's Core Engineering & Research Groups
Vice President, Lead AI & ML Engineer @Blackrock
Senior Director of Engineering @Datadog, 15+ Years in the Data and AI Industry
Software Engineer in ML Infrastructure @Pinterest - Building the Generative AI Serving Platform
SWE, GenAI Serving @Pinterest
Principal Staff Software Engineer, Compute Infra @LinkedIn, Podcast Host @Software Misadventures
Member of Technical Staff @OpenAI
Software Engineer @Harvey
Software Engineer @Baseten
Forward Deployed Engineer @Baseten Specializing in Voice AI, Previously Computer Vision @Google Maps
Technical Lead for Standards @Anthropic, Focusing on Engineering Problems with Societal Implications
Principal Research Software Engineer @Microsoft Research, Core Contributor to AutoGen, Author of "Multi-Agent Systems with AutoGen" Book, Previously @Cloudera, @IBMResearch
Technical Fellow @honeycomb.io, Developer Advocate, Labor and Ethics Organizer, and Site Reliability Engineer (SRE), Over Two Decades of Experience
Enterprise Deployed Engineer @LangChain
Forward Deployed Engineer @Baseten, Maintains the vLLM Agentic API Project
Principal PM Manager @Microsoft, Co-Founded Error Analysis, Fairlearn, and Responsible AI Toolbox
SWE @Google, Creator of Agent Sandbox SDK and Owner of the Authorization Layer for Agent Substrate
Java Champion and Head of Developer Relations @Tessl, Focused on Developer Tooling, Application Security, and AI-Native, Spec-Driven Software Development
Director of Women’s Health @Google, Previously Founded the Women's Health Science Team @Oura
Software Engineer, Agents @DoorDash
Why senior engineers trust QCon
Senior engineers, architects and engineering leaders on what they took back from QCon AI New York.
I came in with a question: how much of what's presented at an AI conference is real, and how much is demo with more lights and noise than substance? And today there was a lot of substance, more than I expected.
The strongest message I brought was not about models. It was about execution, going beyond the hype and understanding how companies run AI at full scale.
Being surrounded by engineers and AI practitioners building real, scalable systems gave me a fresh perspective on how thoughtful design, trade-offs, and long-term impact shape good software. What stood out most was the community and the honesty.
Convince your manager
We've added a convince your manager page with an email template and an AI prompt. Both build your request around your current work, the sessions that apply to it, what you'll bring back and the cost.
Bring the people who own the decisions
What each role takes back:
Software architects
Patterns for where an LLM's judgment belongs and where deterministic code takes over
Staff+ engineers
What it takes to turn a demo agent into a system that survives a failed run
ML and MLOps engineers
Eval designs that say ship or hold
Platform engineers
How other platform teams handle model access, eval pipelines and inference cost
Security engineers
Identity, least privilege and kill switches for tool-using agents
Engineering leaders
Adoption metrics tied to delivery and quality
We offer group discounts for teams of three or more. Email info@newyork.qcon.ai with your team size to get your discount code.
We’ve added a convince your manager page with an email template and an AI prompt. Both build your request around your current work, the sessions that apply to it, what you’ll bring back and the cost.
Two days of talks from senior engineers who build and run AI systems in production. December 15–16, 2026, New York.