Mid/Senior Solution Architect - Germany

3 months ago

Munich, GermanyMid Level / Senior

Responsibilities

Bridge the gap between Multiverse Computing’s AI and quantum technologies and customer requirements.
Design innovative, scalable, and robust AI-powered solutions for enterprise customers.
Run hands-on product demonstrations independently and interface with technical and non-technical stakeholders.
Write technical proposals and respond to RFPs and tenders.
Support pre-sales engagements, partner interactions, customer meetings, conferences, and project requirements.
Evaluate LLM performance using accuracy, latency, and throughput benchmarks.
Design RAG pipelines, multi-agent systems, data architectures, and AI deployment solutions where applicable.

Previous experience in a technical partner pre-sales or consulting role with substantial partner- and customer-facing interaction, such as Solutions Architect, Sales Engineer, Implementation Consultant, or Forward Deployment Engineer.
Strong communication and presentation skills, including experience with technical proposals or RFPs and independent product demonstrations.
Knowledge of AWS, Azure, GCP, SageMaker, Vertex AI, AzureML, sovereign deployments, on-premise deployments, and hybrid deployment models.
Understanding of vLLM, llama.cpp, OpenVINO, ONNX, safetensors, and the Hugging Face model hub.
Hands-on coding skills in Python and familiarity with PyTorch, TensorFlow, and Hugging Face.
Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related field.
Fluent German and English language skills and availability to travel as needed.
Preferred: experience with Computer Vision, Speech, Vision-Language, and other multimodal models.
Preferred: experience with model optimization, quantization, edge-device deployment, MLOps, Docker, Kubernetes, RAG, multi-agent systems, GPU infrastructure sizing, data architectures, big data technologies, GDPR, and the EU AI Act.

Signing bonus.
Relocation package where applicable.
Eligibility for an educational budget according to internal policy.
Hybrid work opportunity with flexible working hours.
Language classes and discounted lunch options.
Career plan and opportunities to learn and teach.
Equal pay and an inclusive workplace culture.
Position based in Munich, Germany, with travel required as needed.
Applicants must have legal authorization to work in the country where the position is based.

201-500 employees