Welcome to the Enterprise AI meetup in SF. We're a community for practitioners building, deploying, and scaling AI inside enterprises. We're here to tackle the hard problems: integration, deploying, governance, monitoring, security, ROI, and the messy middle between pilot and production.

• A developer, engineer, or data scientist building AI into enterprise systems
• A tech lead or architect designing AI infrastructure and pipelines
• A tech decision-maker evaluating, adopting, or governing AI in your organization
• Anyone who wants to move beyond the hype and learn what actually works in production

Agenda:
- 5:30pm~6:00pm: Checkin, food and networking
- 6:00pm~6:15pm: Welcome and Community update
- 6:15pm~7:30pm: Tech talks and Q&A
- 7:30pm~8:30pm: Open discussion, Mixer and Closing.

Tech Talk : One Take: Engineering Agent Loops That Ship 100% Green PRs on the First Push
Speaker: Ryan Hamilton (Senior Developer at CircleCI)
Abstract: Most teams optimizing AI-assisted development are focused on the wrong variable: prompting harder, adding rework, dumping larger failure logs into context. The real question isn't how to fix red PRs faster. It's how to stop producing them.
In this session, I will share findings from three connected Loop Lab experiments, each using the same controlled Snake game benchmark to isolate one variable at a time. Three experiments. One benchmark. Each one isolating a single variable, and each one revealing something unexpected about where the real leverage lives in an agent loop, and what it means for cutting the cost of agentic development. Together, these experiments map a clear path from "rework is inevitable" to "rework is reserved for the unknowable." The result is a practical harness design that bakes low Merge Efficiency Ratio in from the start… and a new way to think about where validation belongs in the agent loop.

Tech Talk: Build the AI Data Stack: What Every AI Product Team Needs To Get Right
Speaker: Kamesh Sampath (Lead Developer at Snowflake)
Abstract: For decades, code separated human intent from execution. Today, software can execute directly from intent. Just as cloud engineering used Infrastructure as Code (IaC) to shift from imperative scripts to declarative state, modern AI extends this evolution through Infrastructure as Intent (IaI). This changes how we build the AI Data Stack. This session explores what happens when human expertise combines with structured intent to mentor AI systems. Grounded in my research on Intent-Driven Development (IDD) and lessons from building agentic tools, we will examine how to structure intent, measure system leverage using the Intent Compression Ratio (ICR), and turn transient prompts into durable Skills. We spent decades optimizing stacks for syntax and code. The next challenge is engineering intent.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue:
AWS Loft SF, 525 Market Street, 2nd Floor, San Francisco, CA 94105

• By registering for this event, you acknowledge that you are 18 years or older and agree to follow the AWS Code of Conduct and the AWS Event Terms and Conditions
• It is mandatory to bring valid physical government ID to enter the AWS Builder loft (No Digital IDs will be accepted).
• There is no scooter/bike parking available in the building. If you plan to bring one, you will need to find parking options nearby.
• All attendees must be 18 or older to attend this event at the space

Sponsors:
We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 50,000+ AI developers in San Francisco Bay Area and 500K+ worldwide.

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers;