AI Engineer
What to expect
As an AI Engineer, you strive to stay ahead by designing, scaling, and fine-tuning intelligent systems that deliver real-world impact. At IBM TechXchange 2025, immerse yourself in hands-on coding labs, leverage cutting-edge AI developer tooling, and participate in interactive sessions on agentic models, foundation models, protocols like MCP for enhanced model integration, and large-scale AI infrastructure optimized for enterprise deployment.
Featured experiences
Code in a watsonx bootcamp
Build your skills using the latest family of open, performant, and trusted AI models
Build Agentic AI applications
Reserve a spot in one of our Instructor-led Labs to work with IBM software and build common use cases for AI
Meet open source contributors
Monday, October 6 is Community Day where you can meet and collaborate with dozens of Open Source project leaders
Build your technical agenda
Featured topics & products
Generative AI and LLMs for prompt engineering and tuning
watsonx Orchestrate, Red Hat Enterprise Linux AI, Meta Llama, Mistral AI, IBM Granite
Building, deploying and monitoring Agentic AI apps
watsonx.ai, watsonx.governance, Langflow, watsonx Orchestrate
AI governance and compliance
watsonx.governance
Low-code/no-code AI development
watsonx Code Assistant, watsonx Orchestrate
AI Infrastructure and Integration
Red Hat Openshift AI, Watson Discovery
Featured sessions
You can explore all AI Engineer sessions in the Session Catalog. Here’s some of our favorites.
- Introduction to Generative AI in watsonx (1643)
- Modernize Enterprise Java Applications with watsonx Code Assistant (2545)
- Build and manage AI Agents with watsonx Orchestrate (2553)
- Large Language Model (LLM) Customization Techniques (1648)
- Unlock the value of the Agent Ecosystem with Langflow and IBM wastsonx (2662)
- Unlock the value of the Agent Ecosystem with Langflow and IBM wastsonx (2662)
Featured certifications
Up to three certifications are included in your Full Conference Pass, so you can earn certifications like:
Featured open source projects
Data Prep Kit is a community-driven project that simplifies unstructured data preparation for LLM application development
Docling simplifies document processing, parsing diverse formats and providing seamless integrations with the gen AI ecosystem
The Granite family of foundation models span a variety of modalities, including language, code, and other modalities, such as time series
InstructLab’s mission is to enable anyone to shape the future of generative AI via the collaborative improvement of open source-licensed Granite LLMs
OPEA is an open platform project that lets you create open, multi-provider, robust, and composable gen AI solutions
PAIG is an open-source project designed to protect gen AI applications by ensuring security, safety, and observability
Connect with AI experts
Get direct answers to your toughest technical questions with access to hundreds of AI experts.






Connect with AI experts
Get direct answers to your toughest technical questions with access to hundreds of Data and AI experts.









