Bureau Veritas | Global AI & Data Transformation

Regional AI & Data Hub Technical Lead
Role Briefing — regional technical leadership, solution architecture, engineering quality, and foundation contribution

Context & Purpose
The Regional AI & Data Hubs are where validated business demand becomes working, enterprise-grade AI capabilities embedded in core business workflows. Each hub pairs business-facing leadership with deep technical AI leadership: the Regional AI & Data Hub Manager ensures the hub is focused on the right end-to-end journeys, delivers value, builds capability, and drives adoption; the Regional AI & Data Hub Technical Lead ensures that AI solutions are technically sound, evaluated, reusable, scalable, secure, observable, and aligned to enterprise standards. The hubs operate with a field-informed delivery model, grounding priorities and solution designs in direct understanding of real user workflows, operational constraints, adoption barriers, and value drivers. Their focus is on transforming end-to-end journeys and ways of working through GenAI, agentic workflows,



data science, automation, and enterprise data foundations—not simply delivering isolated use cases. Together, they turn explicit, high-value problems into deployed AI capabilities and reusable enablers for the Shared AI technical foundation.

Role Mission
The Regional AI & Data Hub Technical Lead provides hands-on technical leadership for one regional hub, translating validated journey-level opportunities into robust AI solution architectures and guiding engineering work from prototype through industrialized deployment and ongoing improvement. The role is accountable for GenAI and agentic solution design, AI engineering quality, model and workflow evaluation, data and context architecture, integration with enterprise platforms, production monitoring, and contribution of reusable AI components back into the Shared AI technical foundation.
Each Regional AI & Data Hub has one Technical Lead, wor

📌 Regional AI (Noida)
🏢 Bureau Veritas
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