<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Job role: <strong>Solutions Architect</strong></p><p>Location:<strong> Munich, Germany</strong></p><p>Work mode: <strong>Hybrid</strong></p><p><br/></p><p><strong>Key requirements:</strong></p><ul><li>Previous 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)</li><li>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.</li><li>Strong 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.</li><li>Familiarity 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.</li><li>Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</li><li>Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</li><li>Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</li><li>Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</li><li>Must be available to travel as needed for meetings, conferences, and project requirements.</li><li>Languages: Fluent in German &amp; English.</li></ul><p><br/></p><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</li><li>Experience with AI model optimization, quantization, or deployment to edge devices.</li><li>Hands-on experience designing RAG pipelines and/or multi-agent systems..</li><li>Experience designing data architectures (batch &amp; streaming) and working with big data technologies.</li><li>Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act.</li></ul><p><br/></p><p><strong>Perks &amp; Benefits:</strong></p><ul><li>Equal pay guaranteed.</li><li>Signing bonus.</li><li>Relocation package (if applicable).</li><li>Eligibility for educational budget according to internal policy.</li><li>Hybrid opportunity.</li><li>Flexible working hours.</li><li>Language classes and discounted lunch options</li><li>Working in a high paced environment, working on cutting edge technologies.</li><li>Career plan. Opportunity to learn and teach.</li><li>Progressive Company. Happy people culture</li></ul> </div>