AI Architect

• Design and document technical architectures for AI solutions (Machine Learning, Deep Learning, NLP, Computer Vision, LLM, AI Agents, etc.) considering security, scalability, costs and performance constraints
• Define and drive the AI technology roadmap in collaboration with business, IT, and innovation teams
• Select appropriate technologies, frameworks, and tools (TensorFlow, PyTorch, Azure ML, AWS SageMaker, Hugging Face, LangChain/Graph, N8n)
• Ensure the coherence, robustness, and maintainability of deployed solutions
• Participate in solutions development
• Mentor and support teams of Data Scientists, Data Engineers, and AI developers
• Conduct technology watch and evaluate new AI market trends
• Lead the integration of AI solutions in cloud, hybrid, or on-premise environments
• Implement best practices for data governance, MLOps, and model management
• Ensure compliance with security standards, regulations (GDPR, NIS2), and AI ethics
• Collaborate with technology partners and clients to maximize the value of AI solutions
• Participate in drafting technical proposals and responding to RFPs

• Master's degree or engineering diploma in Computer Science, Applied Mathematics, Artificial Intelligence, or related field
• Minimum 7 years of experience in designing and deploying AI solutions in enterprise environments
• Mastery of AI architectures (supervised, unsupervised models, neural networks, NLP, Computer Vision, etc.)
• Expertise in leading AI tools and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, MLflow, etc.
• Expertise in major LLM vendors: OpenAI, Google Gemini, Anthropic, Meta, Mistral AI, AWS Bedrock, DeepSeek, Cohere
• Expertise in developing Collaborative/Swarm of AI Agents/Agentic AI system
• Experience with cloud AI platforms: Azure ML, AWS SageMaker, Google AI Platform
• Strong knowledge of MLOps practices, CI/CD, and model lifecycle management
• Proficiency in Python, R, SQL, and collaborative development environments (Git, Docker, Kubernetes)
• Deep understanding of security, compliance (NIS2, GDPR), and AI ethics
• Ability to design hybrid architectures and integrate AI into existing systems
• Knowledge in deploying on prem/sovereign AI solution set
• Leadership and ability to unite and guide multidisciplinary teams
• Innovative mindset and technological curiosity
• Excellent communication, presentation, and simplification skills
• Rigor, organizational skills, and results-oriented approach
• Fluent in English

French language skills

• Full access to foreign language learning platform
• Personalized access to tech learning platforms
• Tailored workshops and trainings to sustain your growth
• Medical subscription
• Meal tickets
• Monthly budget to allocate on flexible benefit platform
• Access to 7 Card services
• Wellbeing activities and gatherings