Mid/Senior Solution Architect - UK

Multiverse Computing
London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Big Data Cloud Computing Continuous Integration Data Architecture Python (Programming Language) Language Modeling Tensorflow Azure Machine Learning
+14 more
Google Cloud Pytorch Large Language Models Multi-Agent Systems Scikit Learn Kubernetes Information Technology Low Latency ONNX (Open Neural Network Exchange) Format HuggingFace Machine Learning Operations Hardware Infrastructure Software Coding Docker

Requirements

  • Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (ie Solutions Architect, Sales Engineer, Implementation Consultant, Forward Deployment Engineer)
  • 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.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (eg, SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.
  • Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, safetensors, HuggingFace model hub).
  • Understanding of benchmarking and LLM performance evaluation (accuracy, latency, throughput).
  • Hands-on coding skills in Python, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).
  • Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or related field.
  • Must be available to travel as needed for meetings, conferences, and project requirements.
  • Languages: English., * Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.
  • Experience with AI model optimization, quantization, or deployment to edge devices.
  • Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (eg, Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.
  • Hands-on experience designing RAG pipelines and/or multi-agent systems
  • Understanding of sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).
  • 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.

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.

Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.

Why join us?

We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a “quantum-AI unicorn in the making.”

This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI- powered solutions.

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