AI Architect & AI Engineer at ENGIE - International Supply & Energy Management
Greater Paris Metropolitan Region France
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Summary
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Senior
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Top School
Jerome Lacube is an AI Architect and Engineer based in the Greater Paris region with over two decades of technology experience and 15 years focused on delivering enterprise solutions across finance and energy sectors. He combines deep expertise in core programming, modern AI, and DevOps with a strong architectural mindset, having led equity derivatives platforms and global deployment programs at HSBC before moving to architecture and AI roles at ENGIE. Jerome is skilled at turning complex, high-throughput trading and supply systems into resilient, automated services—often building release and testing automation, distributed caching, and grid computing proofs-of-concept early in projects. He bridges hands-on engineering and strategic design, mentoring teams to operationalize ML and streamline production delivery. A trained engineer in neural networks and pattern recognition, he brings research-informed perspective to practical AI adoption in regulated, mission-critical environments. Less obvious: his career shows a pattern of choosing infrastructure-first solutions that reduce operational risk while enabling rapid feature delivery.
15 years of coding experience
19 years of employment as a software developer
Master’s Degree in Engineering, Computer Science / Neural Networks / Pattern-Vision-Speech Recognition, Master’s Degree in Engineering, Computer Science / Neural Networks / Pattern-Vision-Speech Recognition at CY Tech
Bachelor of Science (B.S.), Mathematics and Physics, Bachelor of Science (B.S.), Mathematics and Physics at Lycee Jacques Decours Paris
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