Senior solution architect
Pubblicato il 21-08-2026 - MULTIVERSE COMPUTING in Italia
About the Role We are looking for a talented Solutions Architect to join our pre‐sales team in Milan, Italy .
The role bridges the gap between our advanced AI and quantum technology and our customers' needs, crafting innovative, scalable, and robust AI‐powered solutions. Key Requirements Previous experience in a technical partner pre‐sales or consulting role with strong customer‐facing interactions (e.g., Solutions Architect, Sales Engineer, Implementation Consultant). Excellent communication and presentation skills, able to interface with technical and non‐technical stakeholders; experience writing technical proposals or responding to RFPs/tenders and running independent product demos. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (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 a related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: French & English (mandatory), Spanish (preferred). Preferred Qualifications Experience with Computer Vision, Speech, Vision‐Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands‐o