Conference Description
Key Takeaways
- Two-day conference focused on deploying, operating and scaling AI systems in production environments
- Speakers from 1Password, LinkedIn, Figma, DoorDash, Netflix, Honeycomb, Microsoft Research, Datadog, Google, Sierra, Harvey and Oura
- Covers agent security, inference cost management, evaluation pipelines and AI-assisted code review
- Designed for senior engineers, architects, ML/MLOps practitioners and engineering leaders
- Vendor-neutral content curated by practitioner committee with no product pitches
About the Event
QCon AI New York 2026 is a two-day, in-person conference addressing the operational challenges of running AI systems at enterprise scale. The event distinguishes itself from research-focused AI conferences by concentrating on production realities: what happens after models leave the prototype stage. Talks are selected by a committee of senior practitioners, with content structured around real-world experiences rather than vendor demonstrations.
Production AI and Agent Operations
The technical programme covers the full lifecycle of production AI systems. Sessions address agent architectures, identity and authorization for AI agents, and the guardrails required for autonomous systems. Infrastructure topics include model serving platforms, latency management and cost control for inference workloads. The event also examines evaluation loops for continuous improvement and the challenges of scaling multi-model environments. Kubernetes and large language models feature among the referenced technologies.
AI-Assisted Engineering and Organizational Impact
Beyond infrastructure, the conference explores AI-assisted software engineering, including code review pipelines operating at scale. Engineering leadership sessions address adoption metrics, organizational workflows and balancing automation with human oversight.
Who Should Attend
QCon AI targets senior software engineers, staff-plus engineers, architects, ML and MLOps engineers, platform and security engineers, and technical leaders. The event is particularly relevant for organizations in technology, finance, e-commerce and large-scale digital enterprises that are deploying or scaling AI in production. The high speaker-to-attendee ratio supports direct engagement and peer problem-solving among experienced professionals.