AI Architect

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November 1

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Inetum

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B2B • Enterprise • SaaS

Inetum is a European leader in digital services, providing technology consulting, solutions, and software innovation to businesses and public sector entities across 19 countries. With a workforce of 28,000 consultants, Inetum focuses on helping clients achieve digital transformation through a broad range of services, including consulting, software integration, and outsourcing, while prioritizing innovation, customer experience, and agility. Inetum partners with major software providers and offers solutions in vertical sectors like public sector, insurance, and healthcare. In 2023, Inetum achieved sales of 2. 5 billion euros, driven by its growth and scale ambitions.

10,000+ employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

💰 Post-IPO Equity on 2007-03

📋 Description

• 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.

🎯 Requirements

• 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 is a plus).

🏖️ 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