AI Architect

Project overview

Context and mission details

Context:

Integration into the I.D.E.A. department (Innovation Lab, Development, Expertise and Accelerators), which includes an innovation laboratory dedicated to R&D topics and technological expertise centers: web and mobile development, CMS (SharePoint / WordPress), Low-code / No-code (Power Platform), architecture and private cloud.

Reporting to the Architecture and Private Cloud team, responsible for supporting projects around containerized applications in terms of architecture, design, and CI/CD, for the Group's various business lines and for the benefit of internal employees and clients.

The AI Architect is responsible for the design and consistency of the Group's generative and agentic AI solution architectures. They will oversee their industrialization on private and public cloud, guide technological choices (models, frameworks, platforms), ensure security, compliance, and cost control, and disseminate best practices within the teams.

As such, the main missions are as follows:

In particular, the position contributes to the implementation of the Group's agentic AI plan and facilitates the integration of AI into the development chain. As such, the missions include:

• AI Solution Architecture: design target architectures for generative and agentic AI use cases (assistants, RAG, autonomous agents, multi-agents); define reference patterns and reusable components.
• Watch and Community: ensure constant technological watch on the AI ecosystem; be proactive regarding market solutions; contribute to animating the Group's agentic AI community.
• AI Platform: contribute to the design and evolution of the Group's AI platform (LLM serving, model gateway, vector databases, agent orchestration) on OpenShift and on the trusted public cloud.
• Security, Compliance, and Governance: integrate security requirements (prompt injection, data leakage, agent authorization management), regulatory requirements (AI Act, DORA, GDPR), and responsible AI principles; participate in security validation committees.
• Quality and Performance: define evaluation strategies for models and agents (relevance, hallucinations, latency); implement LLMOps observability and FinOps monitoring of model consumption.
• Writing and Collaboration: write architecture documents and technical specifications; work in close collaboration with IT and business teams; participate in architecture reviews.
• Industrialization: technically lead the transition of POCs and pilots to production, in conjunction with infrastructure, security, and production teams; ensure the stability, run, and evolution of deployed solutions.
• Design and prototype agents and agentic workflows, and participate in defining the modular architecture of the AI platform.
• Implement the exposure of the IS tools and data to agents via the MCP (Model Context Protocol) and Group APIs, in a secure and governed manner.
• Industrialize the deployment of models and agents using a GitOps approach (ArgoCD, OpenShift GitOps) and automate LLMOps pipelines (evaluation, prompt versioning, monitoring).
• Act as the team's AI referent; mentor and support developers in adopting AI and code assistants.
• Take charge of support and project mentoring.

Project details

• Start: flexible
• Remote: hybrid
• Location: 94220 Charenton-le-Pont, France, FR
• Rate: 81-81 EUR/h
• Languages: French