Enterprise AI Solution Architect (Agentic/GenAI)

Pernod Ricard SA

Paris

Hybride

EUR 90 000 - 150 000

Plein temps

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV personnalisé et une lettre de motivation qui correspondent directement à l’offre.

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Avantages offerts par ce poste

Remote work up to 2 days/week
Mutual insurance
Profit sharing
Continuous learning
Employee events

Résumé du poste

Pernod Ricard SA is seeking a senior Solution Architect to define and drive the enterprise AI architecture across global product teams. You will lead AI governance, patterns, and integration with data pipelines while ensuring security and scalability.

The role requires deep expertise in GenAI, LLMs, RAG, and agentic AI, with strong collaboration across stakeholders and domains in a multinational consumer goods organization.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, IT, or related field.
  • 10+ years of experience in solution architecture, software engineering, or data architecture.
  • Strong experience with cloud platforms, particularly Azure.
  • Experience with AI/ML, GenAI, LLMs, RAG, agentic AI concepts.

Responsabilités

  • Act as the primary AI architecture authority for the enterprise.
  • Define and embed the reference AI architecture, governance, and standards.
  • Drive AI-first product and architecture thinking across teams.
  • Facilitate architecture decisions and trade-offs at enterprise level.
  • Provide reusable patterns and guardrails for AI solutions.
  • Support product teams in designing end-to-end AI-enabled solutions.

Connaissances

AI architecture
Solution architecture
Cloud platforms
Stakeholder management

Formation

Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field
Master’s degree preferred

Outils

Azure

Description du poste

Pernod Ricard SA is seeking a senior Solution Architect to define and drive the enterprise AI architecture across global product teams. You will lead AI governance, patterns, and integration with data pipelines while ensuring security and scalability.

The role requires deep expertise in GenAI, LLMs, RAG, and agentic AI, with strong collaboration across stakeholders and domains in a multinational consumer goods organization.

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