Senior AI Solution Architect & Builder (F-M-D)Bureau Veritas

Rejoindre Bureau Veritas, c'est rejoindre une entreprise française qui a développé son réseau pour devenir un groupe mondial. Avec 8500 collaborateurs en France et plus de 84 000 répartis dans 140 pays, Nous sommes le leader mondial des services d'inspection, de certification et d'essais en laboratoire.

Acteur de confiance, Nous accompagnons nos clients dans leur mise en conformité réglementaire et nous les aidons à améliorer leur performance et à réduire les risques liés à leurs activités.

Chez Bureau Veritas, nous avons une culture d'entreprise unique. Nous sommes guidés par l'intégrité, l'éthique, l'impartialité et l'indépendance. Ces principes fondamentaux sont la clé de notre réputation et de la relation de confiance avec nos clients.

Travailler chez Bureau Veritas, c'est faire partie d'une organisation apprenante qui encourage la diversité et évoluer dans un contexte multiculturel pour rendre notre monde plus sûr et plus durable.

Vous recherchez une entreprise qui contribue à améliorer le monde dans lequel nous vivons ? Rejoignez les équipes Bureau Veritas !

Are you attracted to architecting and building enterprise-grade AI solutions that turn business challenges into measurable value?

Join our team! Working autonomously on varied projects, you will develop your expertise in a stimulating and supportive environment.

YOUR EVERYDAY EXPERIENCE IF YOU JOIN US

As part of Bureau Veritas's global scale-up of AI, we are recruiting for our Bureau Veritas Global AI & Data Transformation division a Senior AI Solution Architect & Builder (F-M-D) on a permanent contract.

Reporting to the Regional AI & Data Hub Technical Lead, you will join our team based in Paris.

You will work closely with our operational teams and our clients within the framework of the Regional AI & Data Hub delivery model, collaborating with Product Management, Business SMEs, AI Context Fabric & Semantic Platform teams, Enterprise Architecture, Data Science, and Digital Factory engineering teams.

WHAT YOU WILL ACCOMPLISH

Your mission is to determine, architect, build, and industrialize enterprise-grade AI-enabled solutions that create measurable business value, ensuring these solutions are reliable, reusable, secure, observable, and maintainable in production. Your role is essential to ensuring Bureau Veritas builds the right solution, builds it well, and builds it in a way that can scale across the organization.

You will:

• Evaluate each business problem and determine whether the best solution is AI, deterministic software, rules-based automation, analytics, machine learning, agentic AI, or a hybrid architecture, avoiding AI where simpler, more explainable, lower-cost approaches deliver better outcomes.

• Translate business journeys into explicit technical designs by mapping inputs, source systems, transformations, decision logic, actions, outputs, user interactions, human judgment points, and operational controls, ensuring designs are anchored in real workflows and measurable value creation.

• Architect and build production-grade copilots, assistants, agentic workflows, retrieval-based systems, decision-support tools, workflow automation capabilities, and AI-enabled business applications, remaining hands-on in critical component implementation and providing code-level guidance where needed.

• Design and build AI wrappers that turn foundation model capabilities into trusted Bureau Veritas business applications, developing service layers, prompt orchestration, tool invocation patterns, agent execution environments, human-in-the-loop controls, workflow abstractions, and enterprise guardrails.

• Apply evaluation-driven development, prompt and workflow versioning, agent testing strategies, automated evaluation pipelines, AI observability, hallucination monitoring, experiment tracking, feedback loops, LLMOps practices, and release management, treating prompts, workflows, and semantic context as governed production assets.

• Define system boundaries, integration patterns, APIs, trust boundaries, data and context flows, failure modes, autonomy levels, scalability approaches, security models, and operational support patterns, ensuring alignment with enterprise architecture, the Shared AI Technical Foundation, and AI Context Fabric standards.

• Use enterprise context assets, taxonomies, metadata, business concepts, data products, and knowledge sources to ground AI solutions in Bureau Veritas business meaning, contributing reusable semantic models, retrieval patterns, connectors, and contextual assets back to the shared foundation.

• Move solutions from concept and prototype into production operation with monitoring, logging, observability, evaluations, deployment pipelines, controls, and support models, using production signals and user feedback to continuously improve solutions.

• Create reusable architectural patterns, AI wrappers, prompt libraries, agent frameworks, integration connectors, evaluation templates, solution blueprints, and reference implementations that reduce duplication across regions and business lines.

THE SKILLS THAT WILL MAKE YOU STAND OUT

Solution and application architecture expertise (API-first design, distributed…