SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Multiverse Computing, a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally, is seeking a Solution Architect to join its pre-sales team in London. The company is the largest quantum software company in the EU with 250+ employees worldwide, building advanced AI and quantum solutions for enterprises across finance, energy, manufacturing, telecom, and industrials.
In this role, you will bridge the gap between Multiverse's cutting-edge technology and customer needs, crafting innovative, scalable, and robust AI-powered solutions. You will work closely with both technical and non-technical stakeholders, write technical proposals, respond to RFPs/tenders, and run hands-on product demonstrations independently. Your work will focus on solutions that compress large language models by up to 95% without losing accuracy and cut inference costs by 50–80%.
Key responsibilities include:
- Engaging with partners and customers in pre-sales consulting capacity
- Designing and presenting AI/ML solutions tailored to enterprise requirements
- Conducting technical assessments and feasibility studies
- Collaborating with product and engineering teams to address customer needs
- Traveling as needed for meetings, conferences, and project requirements
The company offers a hybrid work arrangement with flexible working hours, a signing bonus, relocation package (if applicable), educational budget, language classes, and a career development plan. You'll work in a fast-paced environment on cutting-edge quantum and AI technologies.
REQUIREMENTS:
- Previous experience in technical partner pre-sales or consulting role (Solutions Architect, Sales Engineer, Implementation Consultant, or Forward Deployment Engineer)
- Excellent communication and presentation skills; ability to interface with technical and non-technical stakeholders
- Experience writing technical proposals and responding to RFPs/tenders
- Experience running hands-on product demos independently
- Knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (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
- Fluent English
- Legal authorization to work in the UK
PREFERRED QUALIFICATIONS:
- 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, orchestration frameworks like 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 GPU infrastructure sizing for LLM inference or training workloads
- 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 EU AI Act familiarity
