Solution Architect — AI/ML / LLM Deployment in München

Solution Architect — AI/ML / LLM Deployment

We are partnered with a fast-growing European AI and quantum computing scale-up delivering transformational optimisation solutions to large enterprises. The team is looking to hire a Solution Architect to serve as the primary technical partner interface in Germany, owning pre-sales engagements, product demonstrations, and customer-facing solution design across AI and LLM deployments.

This is a permanent, hybrid opportunity based in Munich, Germany.

Key responsibilities for this Solution Architect position:

• Lead technical pre-sales engagements including product demos, RFP responses, and technical proposal writing.
• Design and present AI/ML solution architectures tailored to customer and partner requirements across cloud, sovereign, on-premise, and hybrid deployment models.
• Size and recommend GPU infrastructure for LLM inference and training workloads.
• Benchmark and evaluate LLM performance across accuracy, latency, and throughput dimensions.
• Support MLOps implementation and guide customers on CI/CD, orchestration, and containerisation best practices.
• Interface effectively with both technical and non-technical stakeholders across the customer organisation.

Key requirements:

• Proven experience in a technical pre-sales or consulting role
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services
• Familiarity with MLOps tools — Kubeflow, Flyte, MLflow — and proficiency with Docker and Kubernetes.
• Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, HuggingFace).
• Hands-on Python and SQL skills; experience with PyTorch, TensorFlow, and Hugging Face.
• Fluency in German and English

Keywords: Solution Architect / AI/ML / LLM / Cloud Infrastructure / AWS / Azure / GCP / MLOps / Docker / Kubernetes / PyTorch / HuggingFace / vLLM / RAG / Multi-Agent / GPU Infrastructure / LLM Inference / ONNX / Pre-Sales