Build — AI & agents
Work mode: HybridAI Solutions Architect
You design how the whole thing fits together: models, retrieval, data flows, integrations, security and the infrastructure underneath. You set the technical direction of an engagement and stay close enough to delivery to be accountable for it.
What you’ll do
- Design end-to-end AI solution architectures across models, data and infrastructure.
- Make the build-versus-buy and model-selection calls, and document the trade-offs.
- Set patterns for security, evaluation and reliability the engineering team follows.
- Partner with the client architecture team to fit into their environment.
What we look for
- Senior engineering or architecture experience on production systems.
- Depth in LLM application patterns: RAG, agents, evaluation and guardrails.
- Solid grasp of cloud, data and integration architecture.
- The judgement to choose the simplest design that holds.
Nice to have
- Experience taking an AI system to production at scale.
- Professional French and English.
Apply for this role
Send your CV and a short note on why this role fits. You will hear back from a person, not a tracker.
Other roles in this team
- Forward Deployed EngineerOn-siteEmbeds with the client and builds the solution in their stack.
- Vibe CoderRemoteAI-native builder who ships fast with agentic coding tools.
- AI / Agent EngineerRemoteBuilds agents, RAG pipelines, tools and evaluation harnesses.
- Data EngineerRemotePrepares and governs the data AI systems depend on.
Work on AI that ships
Real client systems in production, not demos. If that is the work you want, we should talk.