Technical Pre-Sales Engineer (MLOps/ML/AI)

European Tech Recruit; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

European Tech Recruit seeks a Solution Architect to join its pre-sales team in Munich. You will translate customer needs into scalable AI architectures and lead technical discussions with engineers and business stakeholders to deliver compelling demonstrations.

You will design deployments spanning cloud, on-premise and hybrid environments, size GPU resources for LLM workloads, and prepare technical proposals for RFPs. Fluency in German and English is required.

Qualifikationen

• Bachelor’s or Master’s degree in CS/DS/Engineering.
• Fluent German and English.
• Experience in customer-facing pre-sales or consulting.
• Strong presentation and communication skills.
• Experience producing technical proposals or tender responses.
• Ability to deliver hands-on product demonstrations.
• Familiarity with cloud providers AWS/Azure/Google Cloud.
• Understanding of on-premise, sovereign and hybrid deployments.
• Knowledge of MLOps, CI/CD, monitoring.
• Experience sizing GPU infrastructure for LLM workloads.

Aufgaben

• Translate customer requirements into AI solution architectures.
• Lead technical discussions with engineering and business stakeholders.
• Deliver hands-on product demonstrations.
• Prepare technical proposals and tender responses.
• Design solutions across cloud, on-premise and hybrid environments.
• Advise on infrastructure sizing for LLM workloads.
• Benchmark AI models for accuracy, latency and throughput.
• Support deployment and operations of AI workloads with MLOps practices.
• Travel for customer meetings and events.

Kenntnisse

Customer-facing pre-sales experience

Cloud architecture knowledge

Excellent presentation and comms

Technical proposal writing

Python

SQL

PyTorch / TensorFlow / HF

German & English fluency

Ausbildung

Bachelor’s or Master’s in CS/DS/Engineering

Tools

Docker

Kubernetes

ONNX / safetensors

GPU sizing for LLM

CI/CD / MLOps

Jobbeschreibung

A fast-growing European deep-tech company is seeking a Solution Architect to join its pre-sales team in Munich. You will connect advanced AI technology with real customer needs, shaping scalable solutions for organisations operating across sectors such as finance, energy, manufacturing, telecommunications and industry.

This is a customer-facing position for someone who combines strong AI and cloud knowledge with the ability to explain complex concepts, deliver compelling demonstrations and design practical deployment architectures.

What you’ll do

• Translate customer and partner requirements into robust AI solution architectures.
• Lead technical discussions with both engineering teams and business stakeholders.
• Deliver hands-on product demonstrations independently.
• Prepare technical proposals and contribute to RFP and tender responses.
• Design solutions spanning public cloud, sovereign cloud, on-premise and hybrid environments.
• Advise on infrastructure sizing for LLM inference and training workloads.
• Benchmark AI models across accuracy, latency and throughput.
• Support the deployment and operationalisation of AI workloads using modern MLOps practices.
• Travel when required for customer meetings, conferences and project activities.

What you’ll bring

• Experience in a customer- or partner-facing technical pre-sales or consulting role, such as Solution Architect, Sales Engineer or Implementation Consultant.
• Excellent presentation and communication skills across technical and non-technical audiences.
• Experience producing technical proposals or tender responses and independently running product demonstrations.
• Strong knowledge of AWS, Azure or Google Cloud and their AI/ML services.
• Understanding of sovereign, on-premise and hybrid deployment models.
• Familiarity with MLOps practices, including CI/CD, monitoring and orchestration.
• Practical knowledge of Docker and Kubernetes for AI workloads.
• Understanding of LLM inference technologies and model-delivery formats such as ONNX and safetensors.
• Experience sizing GPU infrastructure for LLM inference or training.
• Experience evaluating model accuracy, latency and throughput.
• Hands-on Python and SQL skills, together with familiarity with frameworks such as PyTorch, TensorFlow and Hugging Face.
• A bachelor’s or master’s degree in computer science, data science, engineering or a related discipline.
• Fluent German and English.
• Availability to travel when needed.
• Computer vision, speech, vision-language or other multimodal models.
• RAG pipelines or multi-agent systems.
• Batch and streaming data architectures and big-data technologies.
• AI privacy, ethics and regulation, including GDPR and the EU AI Act.

You’ll join an ambitious deep-tech environment tackling demanding AI deployment challenges and helping customers put advanced technology into practice. If you enjoy combining technical depth with customer engagement and solution design.