LLMday Austin 2026

Overview

LLMday returns to Austin, Texas on May 12, 2026 for a full day dedicated to Large Language Models, AI and ML. The event takes place at The Sunset Room in downtown Austin (310 E 3rd St, TX 78701, United States). The day is structured to showcase a wide range of topics from production grade AI and LLM deployment to open source AI, observability, and data powered AI systems. The program emphasizes practical patterns, governance, and real world applications for engineers, data scientists, platform teams, and executives evaluating how to scale AI responsibly.

Agenda

The agenda centers on a single-day schedule with a keynote style opening and a sequence of talks across multiple tracks. Highlights include sessions on SRE and open source AI, agent driven AI workflows, and production readiness for LLM systems. The day includes breaks for networking and a lunch & networking segment. A parallel emphasis is placed on practical patterns in LLMOps, governance, and security when deploying AI in enterprise contexts. Attendees can expect a mix of technical talks, demos, and case studies that translate classroom concepts into concrete engineering patterns and decision making for real projects.

Tracks and Sessions

Track style sessions cover architecture, tooling, and engineering patterns for LLMs in production. Notable topics feature:

• Keynotes and talks on agentic AI, tool integration, and guardrails for autonomous AI systems.
• Practical patterns for LLM deployment in regulated industries such as healthcare and finance.
• Observability and instrumentation for AI systems, including OpenTelemetry integrations and instrumentation score concepts.
• Real-world production lessons, including guardrail design, escalation paths, and governance frameworks.
• Integrations with cloud platforms (AWS, Datadog, Salesforce) and enterprise data pipelines to enable scalable AI workflows.

Speakers

The program features senior practitioners and experts from leading technology organizations. Featured speakers include:

• Miko Pawlikowski, SRE Author and keynote presenter on open source and SRE topics.
• Sandhya Subramani, AWS Senior Developer Advocate focusing on generative AI and applied ML.
• Whitney Lee, Datadog engineer and AI observability advocate.
• Alfonso Cancellara, Red Hat Open Source advocate and AI platform engineer.
• Nilima Rodrigues, Align Technology data leader and architect of enterprise data platforms.
• Nikita Kothari and Varun Joshi, Salesforce and AWS engineers presenting on production LLM patterns.
• Jim Markunas, The Austin Consulting Group, on agentic workflows and governance in production.
• Sivakumar Selvaraj, Caesars Entertainment, on AML detection using agentic AI and large-scale data projects.

Format and FAQ

The event blends talks, demos, and live engineering patterns with opportunities for Q&A and networking. Tickets can be secured through the event page, and CFPs are hosted via a partner platform. Attendees should expect session topics to cover production readiness, governance, and practical implementations of LLM driven solutions. If you are an software engineer, data scientist, platform engineer, or technology leader evaluating how to deploy AI at scale, LLMday Austin provides a focused forum for hands-on guidance and industry insights.

Who should attend

Engineers, developers, data scientists, site reliability engineers, platform engineers, and technology decision makers who are evaluating or building AI powered systems in production. The day is designed to provide tangible takeaways for implementing agentic AI workflows, monitoring and governance for LLMs, and practical patterns that translate into real-world deployments.