What It’s Like to Build AI Products Inside Global Tech Companies

Building AI products inside global tech companies means balancing innovation with scale, aligning research with real-world use cases, navigating complex organizations, and delivering responsible technology adopted by millions of users worldwide.

Innovating at the Origin of Consumer AI

Long before Siri became an Apple product, it was created by Luc Julia, a French engineer who helped shape one of the first widely adopted voice assistants, redefining how people interact with technology.

Scaling AI From Prototype to Mass Adoption

Developing AI inside global companies requires turning research breakthroughs into reliable products. Scaling means ensuring performance, robustness, and usability across millions of devices and diverse user contexts.

Working Across Major Technology Organizations

Luc Julia’s career spans Apple, Samsung, Amazon, and Renault, offering insight into how AI teams operate within large organizations, where collaboration, alignment, and long-term vision are as critical as technical excellence.

Bridging Innovation and Industrial Constraints

Global tech companies provide resources and reach, but also introduce constraints. AI builders must navigate regulation, legacy systems, and product roadmaps while continuing to push innovation forward.

Building Responsible and Impactful AI

Creating AI at scale comes with responsibility. Global adoption requires ethical design, transparency, and trust, ensuring AI products improve everyday life without compromising user confidence or safety.