Senior Engineers Present Strategies for Implementing Safe Agentic AI at QCon San Francisco 2025
SAN FRANCISCO, Oct. 26, 2025 /PRNewswire/ — QCon San Francisco is poised to address the pressing issue of safely deploying agentic AI systems, with senior engineers sharing their insights from November 17-21, 2025, at the Hyatt Regency. The conference, which gathers top software developers, architects, and technology leaders, aims to equip attendees with actionable strategies rooted in real-world applications, moving beyond mere theoretical discussions.
As organizations transition AI from experimentation to scalable production, the urgency to demystify the capabilities of GenAI becomes paramount. "What engineers truly need are solutions for mitigating risks associated with its adoption,” stated Hien Luu, a member of the QCon San Francisco 2025 Program Committee. “Our sessions will tackle critical questions, offering proven methods directly from experts who have navigated this landscape."
The AI-focused curriculum at QCon San Francisco is comprehensive, featuring a range of sessions dedicated to practical applications in AI engineering. Key highlights include:
- Optimizing for Speed: Insights from Adam Wolff of Anthropic on architectural choices that enhance speed in agentic systems.
- Building GenAI Infrastructure: Strategies for implementing robust architectures to support vast user bases, presented by Maggie Hu and Merrin Kurian from Intuit.
- Transforming Enterprise Data: Vinaya Polamreddi of Glean will demonstrate effective techniques for harnessing complex data into actionable insights.
- Scaling LLM Capabilities: Amit Navindgi from Zoox outlines organizational strategies to amplify AI productivity.
- Innovative Personalization Techniques: A session by Sudeep Das and Pradeep Muthukrishnan at DoorDash exploring advanced personalization through LLM integration.
- Autoscaling Solutions: Meryem Arik from Doubleword will discuss auto-scaling multi-model serving strategies.
- Mobile LLM UX Design: Bala Ramdoss of Amazon will provide guidance on building engaging LLM-powered mobile app experiences.
These sessions are intended to empower software teams to refine their projects, navigate complex technical challenges, and streamline the integration of AI into their workflows.
For more information on the complete list of AI sessions and speaker details, visit the QCon San Francisco AI engineering topic page at https://qconsf.com/ai-engineering.
