Mid/senior solution architect
Pubblicato il 25-09-2026 - MULTIVERSE COMPUTING in Italia
Multiverse Computing is a fast‐growing deep‐tech company founded in 2019, recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high‐impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting‐edge AI and quantum technologies. We are located in Milan, Italy.
Key Requirements
Previous experience in a technical partner pre‐sales or consulting role with a heavy emphasis on partner and customer‐facing interactions (Solutions Architect, Sales Engineer, Implementation Consultant). Excellent communication and presentation skills, able to interface effectively with technical and non‐technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands‐on product demos independently.
Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., Sage Maker, Vertex AI, Azure ML), including sovereign, on‐premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.
Understanding of LLM inference stacks (v LLM, llama.cpp, Open VINO) and model delivery formats (ONNX,.safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands‐on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (Py Torch, Tensor Flow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or r