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JobbörseOffen

AI Engineer Senior / AI & GenAI Platform Architect (M/F)

Originaltitel: AI Engineer Senior / Architecte Plateforme IA & GenAI (H/F)

Yunik · Paris, France · Hybrid · Senior

  • Paris, France · Hybrid
  • French

Indexiert (heute) · laufend aktualisiert

Start
flexible
Arbeitsmodell
Hybrid
Vertrag
Freelance / B2B
Erfahrungslevel
Senior

Geforderte Skills

Nice to have:CI/CDMonitoringObservabilitySecurityGovernanceIAMRBACGDPRAI Act

Sprachen: French

Jobbeschreibung

Major media player seeks a Senior AI Engineer / AI & GenAI Platform Architect to design and industrialize a next-generation AI platform, evolving GenAI POCs into robust production solutions.

Project overview

As part of a strategic technological transformation program, a major player in the media sector is looking for a Senior AI Engineer / AI & GenAI Platform Architect to support the design and industrialization of its artificial intelligence platform.

The objective is to build a next-generation AI environment capable of evolving GenAI experiments and POCs into robust, secure, scalable, and production-ready solutions.

You will be involved in high-value topics: cloud AI architectures, multi-agent systems, LLM orchestration, RAG pipelines, model governance, and industrialization of MLOps / LLMOps practices.

This mission offers the opportunity to play a structuring role in defining the standards and architecture of a large-scale AI platform, in collaboration with multidisciplinary technical and business teams.

Your main missions

  • Design and evolve AI / GenAI architectures on GCP, Azure, and AWS cloud environments.
  • Deploy and industrialize GenAI platforms: RAG, LLM orchestration, event-driven pipelines, and integration with business systems.
  • Design and implement agentic architectures and multi-agent systems, integrating complex and asynchronous workflows.
  • Structure the management of LLM models: gateways, model routing, orchestration, and performance optimization.
  • Define and implement MLOps / LLMOps practices: CI/CD, monitoring, evaluation, observability, and cost optimization.
  • Define architecture standards and support the transition of AI POCs to industrial solutions.
  • Integrate security, governance, and compliance requirements (IAM, RBAC, GDPR, AI Act).
  • Collaborate with Data, Engineering, DevOps, and business teams to design sustainable and high-impact AI solutions.

Project details

  • Start: flexible
  • Remote: hybrid
  • Location: Paris, France, FR
  • Languages: French

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Gefunden auf collective.work

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