AI Engineer / Architect Consultant

Publication date : May 18, 2026, 9:52AM

Join Orange Business Switzerland as AI Engineer/Architect Consultant: shape enterprise AI, design end-to-end pipelines, advise leadership, and deliver real impact across Europe.

The team, position & mission:

Are you ready to combine deep technical AI expertise with the ability to advise and challenge enterprise clients on their AI journey? Orange Business Switzerland is looking for an experienced AI Engineer / Architect Consultant to join our growing AI team! Do you enjoy building ML pipelines and models one week, then facilitating a strategic AI workshop the next? Then we'd love to meet you!

As an AI Engineer / Architect Consultant at Orange Business, you'll work across a diverse range of engagements — from designing and deploying computer vision systems and GenAI solutions to advising C-level stakeholders on AI strategy, governance, and roadmaps. You'll operate as the technical backbone of client engagements while also contributing to use case identification, architecture recommendations, and strategic planning.

You'll be part of a growing AI team alongside data engineers and analysts, focused on delivering real impact for leading Swiss and European clients. The team combines expertise in data science, ML engineering, AI architecture, and consulting to tackle both technical builds and advisory mandates. This is your chance to shape how enterprises adopt AI — from vision to production.

Your key areas of responsibility as AI Engineer / Architect Consultant**:**

• 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;