Overview
AI Engineer New York 2026 is a three day in person conference focused on the intersection of AI engineering and the financial services industry. Hosted at the Sheraton New York Times Square Hotel from October 12 to 14, 2026, the event aims to bring together AI engineers, CTOs, and finance leaders to explore production grade AI systems, scalable infrastructure, and real world deployments in banking, hedge funds, fintech, insurance, and asset management. The program emphasizes practical, high-signal content with a strong emphasis on production readiness, model serving, compliance tooling, and enterprise deployment. The event is organized by AI Engineer and is designed to facilitate hands on learning, deep dives, and executive networking in a setting tailored to the financial services ecosystem.
Agenda
The conference spans three days with a mix of formats intended for technical leaders and practitioners:
- Day 1 features Deep Dives and Welcome Reception, including hands on workshops, early access to expo partner exhibits, and leadership programming that sets the tone for the event.
- Day 2 centers on Full Day Keynotes, Talks, and Networking, with stage talks, live demos, and broader community sessions as well as expo floor access for the duration of the day.
- Day 3 continues with Final day keynotes and closing programming, providing additional opportunities to explore the expo floor and engage with sponsors and speakers.
Session formats include Stage Talks (15–20 minutes), Workshops (1–2 hours), Lightning Talks (5–10 minutes), and Online Talks (5–55 minutes). The program is designed to balance deep technical content with strategic discussions around AI infrastructure, model deployment, governance, and the business impact of AI in financial services.
Speakers and Tracks
The event highlights senior leaders and practitioners from top financial institutions and AI firms. Speaker profiles include engineers, data scientists, product managers, and executives from organizations such as Morgan Stanley, BlackRock, Capital One, Bloomberg, Jane Street, Fidelity, and others. Sessions cover production AI, AI infrastructure, model serving, compliance tooling, and enterprise deployment. The content promises a mix of hands on demonstrations, platform oriented talks, and discussions around building scalable AI solutions in regulated environments.
Format and Experience
Attendees can expect in person engagement with a curated expo floor featuring AI infrastructure providers and partner companies. There is a focus on practical deployment challenges, real world production systems, and networking opportunities with senior engineers, CTOs, and leaders in finance. The event offers travel and accommodations for speakers and notable attendees, with a policy that mainstage keynotes are vendor neutral, while workshops and expo sessions may involve sponsors. Talks are recorded and published on YouTube, X, and LinkedIn, expanding access beyond those present.
Audience and FAQs
The event targets AI engineers, CTOs, VPs of AI/ML, founders, data scientists, and technical leaders in financial services. The page emphasizes that attendees are actively deploying and investing in AI, not just exploring possibilities. It also provides information on venue, travel, and sponsorship opportunities. For those considering attendance or speaking, the event provides submission channels, dates for the call for speakers, and details on speaker rewards and travel support. The Sheraton New York Times Square offers extensive facilities including large ballrooms, dedicated expo space, and convenient access for attendees and sponsors alike.
Who should attend
This is ideal for engineers and leaders responsible for deploying AI in financial services, including production engineers, platform teams, and decision makers who need to understand both the technical and organizational aspects of AI at scale. With a sizable audience and a strong lineup of industry speakers, AI Engineer New York 2026 provides a platform for learning, collaboration, and relationship building across the finance and AI engineering communities.
