Pubblicato il 16 giugno
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Within the Agorai Innovation Hub we are looking for a talented and proactive resource, who will be the technical authority inside Agorai. This role provides the design of AI systems that actually work — in production — across use cases spanning insurance intelligence, industrial automation, and supply chain optimization. The Ai Architect will work directly with the Head of Technology, own the architecture of every solution we build, and lead external technical partners including Google Cloud, DGS, and specialist delivery firms. The candidate will write code and be responsible for the correct functioning of the platform end to end, in production. The role involves technical scoping sessions with domain experts with our largest partners and translate business problems into AI architectures.
The Ai Architect will work closely with the Research Engineers on the team and be accountable for the technical quality of the solutions we build together.
Design end-to-end AI system architectures across our active use cases — from data ingestion and model serving to API contracts and observability
Evaluate technical feasibility of new use cases before any line of code is written
Set and enforce technical standards across all solutions: code quality, evaluation rigor, deployment practices, monitoring
Work on a genuinely hard and open research problem with direct industrial application
Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Engineering or a related STEM field
At least 3–5 years of experience designing, building, and deploying AI systems end-to-end, taking full ownership from architecture to production release, monitoring, and iteration — not limited to model handoff
At least 3–5 years of hands‑on experience applying NLP or Computer Vision in real-world scenarios, working with production data and constraints (e.Ability to critically evaluate AI models, architectures and their fitness‑for‑purpose in industrial applications
Familiarity with
