Mid/Senior Solution Architect - Germany

Multiverse Computing; München; Hybrid; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Equal pay guaranteed

Signing bonus

Relocation package

Educational budget eligibility

Flexible working hours

Language classes

Discounted lunch options

Career plan opportunities

Zusammenfassung

Multiverse Computing is looking for a Solutions Architect to join their pre-sales team in Munich, Germany. The role involves crafting AI-powered solutions and delivering product demos to customers.

The ideal candidate must have prior experience in technical partner pre-sales, strong communication skills, and knowledge of cloud platforms and MLOps tools. The position offers a hybrid opportunity with various perks including equal pay and a signing bonus.

Qualifikationen

• Experience in technical partner pre-sales or consulting role.
• Strong knowledge of AWS, Azure, GCP and AI/ML services.
• Hands-on coding skills in Python and SQL.

Aufgaben

• Crafting AI-powered solutions that meet customer needs.
• Delivering product demos and supporting the sales process.
• Defining solution requirements alongside customers.

Kenntnisse

Technical partner pre-sales experience

Communication and presentation skills

Cloud platforms knowledge

MLOps tools

Coding skills in Python and SQL

Fluency in German and English

Ausbildung

Bachelor’s or master’s degree in Computer Science, Data Science, Engineering

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Jobbeschreibung

About the Company

Multiverse 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.

Role Overview

We are looking for a talented Solutions Architect to join our pre‑sales team in Munich, Germany. The role bridges the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI‑powered solutions. You will partner with customers and internal teams to define requirements, design solutions, deliver product demos, and support the sales process.

Key Requirements

• Previous experience in a technical partner pre‑sales or consulting role with a heavy emphasis on partner and customer‑facing interactions (e.g., Solutions Architect, Sales Engineer, Implementation Consultant).
• 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.
• 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.
• 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.
• Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace 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 (PyTorch, TensorFlow, 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.
• Fluent in German & English.

Preferred Qualifications

• Experience with Computer Vision, Speech, Vision‑Language, and other multimodal models.
• Experience with AI model optimization, quantization, or deployment to edge devices.
• Hands‑on experience designing RAG pipelines and/or multi‑agent systems.
• Experience designing data architectures (batch & streaming) and working with big data technologies.
• Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act.

Perks & Benefits

• Equal pay guaranteed.
• Signing bonus.
• Relocation package (if applicable).
• Eligibility for an educational budget according to internal policy.
• Hybrid opportunity.
• Flexible working hours.
• Language classes and discounted lunch options.
• Career plan and opportunities to learn and teach.
• Progressive company culture.

Location & Legal

Office in Munich, Germany. Applicants must have legal authorization to work in the country where the position is based.

Equality Statement

As 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.