AI Engineer​/Architect Consultant | FR

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 Lang Chain, 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.

• 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, Big Query), or Databricks.
• Solid knowledge of machine learning and deep learning frameworks such as PyTorch, Tensor Flow, 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 (Lang Chain, 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 Dev Ops, Git Lab, Docker, or Kubernetes.
• Excellent communication skills in French and English. German is a plus.

• 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.

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.