Agentic AI Architect

Responsibilities

• Lead scoping workshops and translate business requirements into actionable agentic architectures
• Design and document blueprints for multi-agent systems
• Select and integrate frameworks, LLM models, and cloud components
• Lead production deployment
• Ensure security and governance
• Contribute to the development and positioning of Klee's agentic AI offering
• Support pre‑sales activities
• Prototype, build, and capture reusable assets
• Coach and upskill teams

Requirements

• Master's degree (engineering school or university with a scientific/technical focus)
• At least 8 years of experience in IT or AI architecture/engineering
• Design and production deployment of generative and agentic AI systems
• Design of multi-agent systems, agentic RAG, and orchestration patterns
• Strong knowledge of LLMs, advanced prompt engineering, and tool/function calling
• Python; architecture experience on at least one cloud (AWS Bedrock / Azure AI / GCP Vertex AI)
• CI/CD, observability, and agent evaluation
• Security — guardrails, OWASP Top 10 for LLMs
• Data governance for GenAI, human‑in‑the‑loop processes
• Ability to collaborate in French and English