AI Engineer / Architect Consultant | FR&EN, Geneva

Responsibilities

Design, build, and deploy end-to-end AI solutions— from model selection and prototyping to production-grade pipelines — on cloud platforms such as Azure, GCP (Vertex AI), or Databricks. Co-facilitate AI discovery workshops and ideation sessions with client teams, translating business challenges into actionable AI use cases and architecture recommendations.Advise clients on AI architecture decisions, model selection, MLOps best practices, and platform choices, adapting recommendations to their technical maturity and constraints. Develop and integrate GenAI solutions including RAG architectures, LLM-based agents, prompt engineering, and agentic workflows using tools such as LangChain, Azure AI Foundry, or Databricks Model Serving.Contribute to AI strategy and governance engagements by supporting use case scoring, roadmap design, and the definition of AI governance foundations alongside the AI Lead. Build and maintain scalable ML pipelines, leveraging frameworks such as MLflow, Delta Lake, Vertex AI Pipelines, or equivalent, with attention to model versioning, monitoring, and CI/CD.Produce clear technical documentation and client-facing deliverables (architecture diagrams, technical proposals, use case fiches) and present them confidently to both technical and non-technical audiences. Qualifications

A bachelor's or master's degree in Computer Science, Machine Learning, Data Science, Mathematics, or another technical field, or equivalent practical experience. At least 3–5 years of hands‑on experience in AI/ML engineering, data science, or AI architecture roles, with a proven track record of delivering end‑to‑end AI projects.Strong experience with at least one major cloud AI platform: Azure (Azure ML, AI Foundry, Azure OpenAI), GCP (Vertex AI, BigQuery), or Databricks. Solid knowledge of machine learning and deep learning frameworks such as PyTorch, TensorFlow, Scikit‑learn, or XGBoost, with practical experience in areas such as computer vision, NLP, or time series.Hands‑on experience with Generative AI and LLM integration, including RAG architectures, agent frameworks (LangChain, Semantic Kernel), prompt engineering, and model serving. Strong Python skills, with experience developing production‑ready ML pipelines and working with SQL for data manipulation.Familiarity with MLOps best practices: model registry, experiment tracking, CI/CD for ML workflows, monitoring, and drift detection. Demonstrated consulting or client‑facing experience: comfortable running workshops, challenging assumptions, and explaining complex technical topics to non‑technical stakeholders.Familiarity with AI governance and strategy topics (use‑case prioritization, responsible AI, regulatory awareness) is a strong plus. Experience with tools such as Git, Azure DevOps, GitLab, Docker, or Kubernetes. Excellent communication skills in French and English. German is a plus. Benefits

A community of experts in a people‑focused organization that empowers everyone to reach their full potential. Hybrid ways of working with access to a modern&collaborative office in Geneva. Competitive base salary, mobility allowance, bonus, competitive Swiss pension (LPP/BVG), and more. About Orange Business

Orange Business is the Orange Group entity dedicated to businesses and organizations. Our unique history as a telco operator and now an IT services company enables us to support the sustainable digital transformation of enterprise businesses worldwide. We bring the rigor of a network and connectivity expert together with the agility of a global digital solutions integrator, combining global presence with a local approach to get the most out of digital technology, from networks and cloud to data and service platforms.

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