AI Engineer / Architect Consultant
Orange is hiring an AI Engineer / Architect Consultant. Level rates it ; you can apply on Orange.
Level's read on this job
- On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions OpenAI, LangChain and Semantic Kernel among its tools and skills.
- Level classes it as a mid-level role.
- Orange has 857 other open roles on Level.
- Posted in the last few days.
AI in this role
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;
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.
As an ideal candidate you have:
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: you are 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.
What we offer you:
A community of experts — our Digital Natives put innovation at the heart of everything they do, and you will too!
We work with the latest technologies and are a people-focused organization with an open and inclusive culture that empowers everyone to reach their full potential.
A diverse range of engagements — you won't be stuck doing the same thing. One month you're building a computer vision pipeline, the next you're co-leading an AI roadmap engagement for a public utility.
Hybrid ways of working with access to our modern & collaborative office in Geneva.
In addition to a competitive base salary, we offer you a mobility allowance, a bonus, a competitive Swiss pension (LPP/BVG), and more.
Read more about the benefits we offer here.
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. We combine global presence with a local approach to get the most out of digital technology, from networks and cloud to data and service platforms.
Digital & Data is the dedicated Orange Business entity for professional services in digital and data, operating as part of the Orange Business European organization. We help enterprises design, build and deliver digital and data solutions, from consulting and advisory through to large-scale implementation and managed services, combining deep technical expertise with the operational agility of a ringfenced organization.
By pooling expertise across countries, we offer clients a consistent European delivery model, the ability to reuse proven capabilities at scale, and seamless integration with Orange Business' wider proposition in network, AI, trusted cloud and cybersecurity. This dedicated focus on professional services, backed by the strength and reach of Orange Business and the Orange Group, means our clients benefit from specialized digital and data expertise delivered with clear accountability, European coverage, and the assurance of a trusted long-term partner.
Apply now
We can’t wait to meet you!
More about Orange Business:
Check out our career site for even more information or connect with us on LinkedIn.
At Orange, only your skills matter.
Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.
How we rate this
AI Engineer / Architect Consultant at Orange rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $182k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How have you integrated a large language model into a production application?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, LLM Integration, AI agents, and ML Ops. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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