Mission:
The AI Architect is responsible for designing developing and integrating innovative artificial intelligence solutions within the companys information systems. This role requires advanced technical expertise strategic vision and the ability to lead complex projects in an international and multi-sector environment
Responsibilities:
- 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.
Qualifications :
Profile:
- Masters 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.
Technical Skills:
- 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.
Soft Skills:
- 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 is a plus).
Working mode: remote
Additional Information :
Benefits:
- 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
Remote Work :
Yes
Employment Type :
Full-time
Mission:The AI Architect is responsible for designing developing and integrating innovative artificial intelligence solutions within the companys information systems. This role requires advanced technical expertise strategic vision and the ability to lead complex projects in an international and mul...
Mission:
The AI Architect is responsible for designing developing and integrating innovative artificial intelligence solutions within the companys information systems. This role requires advanced technical expertise strategic vision and the ability to lead complex projects in an international and multi-sector environment
Responsibilities:
- 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.
Qualifications :
Profile:
- Masters 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.
Technical Skills:
- 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.
Soft Skills:
- 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 is a plus).
Working mode: remote
Additional Information :
Benefits:
- 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
Remote Work :
Yes
Employment Type :
Full-time
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