Mid/Senior Solution Architect - Italy

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bwfvt

ppbMultiverse Computing /b /p pMultiverse Computing is a fast-growing deep-tech company founded in 2019 and 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. /p pOur mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. /p h3Why join us? /h3 pWe are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a "quantum-AI unicorn in the making". /p pThis opportunity is to work in our offices in bMilan, Italy /b. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI- powered solutions. /p h3Key requirements: /h3 ul lipPrevious experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) /p /li lipExcellent 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. /p /li lipStrong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on‑premise, and hybrid deployment models. /p /li lipFamiliarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. /p /li lipUnderstanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). /p /li lipExperience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). /p /li lipExperience benchmarking and evaluating LLM performance (accuracy, latency, throughput). /p /li lipHands‑on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). /p /li lipBachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. /p /li lipMust be available to travel as needed for meetings, conferences, and project requirements. /p /li lipLanguages: French,



English Italian (native speaker), Spanish (preferred). /p /li /ul h3Preferred Qualifications: /h3 ul lipExperience with Computer Vision models, Speech models, Vision‑Language models, and other modalities. /p /li lipExperience with AI model optimization, quantization, or deployment to edge devices. /p /li lipHands‑on experience designing RAG pipelines and/or multi‑agent systems.. /p /li lipExperience designing data architectures (batch streaming) and working with big data technologies. /p /li lipKnowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. /p /li /ul h3Perks Benefits: /h3 ul lipEqual pay guaranteed. /p /li lipSigning premio. /p /li lipRelocation package (if applicable). /p /li lipEligibility for educational budget according to internal policy. /p /li lipHybrid opportunity. /p /li lipFlexible working hours. /p /li lipLanguage classes and discounted lunch options /p /li lipWorking in a high paced environment, working on cutting edge technologies. /p /li lipCareer plan. Opportunity to learn and teach. /p /li lipProgressive Company. Happy people culture /p /li /ul h3Location /h3 ul lipApplicants must have legal authorization to work in the country where the position is based. /p /li /ul pAs an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bwfvt