Agentic AI Architect

Klee Group

Architecte IA Agentique at Klee Group designing AI systems and leading the AI strategy. Collaborate with teams ensuring the implementation of effective AI architectures.

Posted 7/4/2026full-timeLe Plessis-Robinson • 🇫🇷 FranceSeniorLead💰 €80,000 - €110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying generative and agentic AI systems, with a strong focus on multi-agent architectures and cloud integration. Proficient in advanced prompt engineering and data governance, while effectively collaborating in both French and English.

Highest-signal resume keywords

Generative AI System DesignMulti-Agent System ArchitectureLLM Knowledge and Prompt EngineeringCloud Architecture (AWS Bedrock / Azure AI / GCP Vertex AI)Data Governance for GenAI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonCI/CDObservabilityAgent EvaluationSecurity (OWASP Top 10 for LLMs)Human-in-the-Loop ProcessesAgentic RAG DesignOrchestration PatternsFramework IntegrationProduction Deployment

Soft Skills

CoachingCollaboration

Tools & Technologies

LLM ModelsCloud Components

Certifications & Qualifications

Master's Degree (Engineering or Technical Focus)

Industry Keywords

Agentic AIData GovernanceSecurity and GovernancePre-Sales ActivitiesReusable Assets

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Autonomy
Hybrid work
Supportive management