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About the Role

We are seeking a talented Solutions Architect to join our pre-sales team. This role bridges the gap between our technology and customer needs, crafting innovative, scalable, and robust AI-powered solutions.

Responsibilities

• Interface effectively with technical and non-technical stakeholders.
• Write technical proposals or respond to RFPs/tenders.
• Run hands-on product demos independently.
• Travel as needed for meetings, conferences, and project requirements.

Requirements

• Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant).
• Excellent communication and presentation skills.
• 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).
• Applicants must have legal authorization to work in the country where the position is based.

Skills

• Cloud platforms (AWS, Azure, GCP)
• AI/ML services (e.g., SageMaker, Vertex AI, AzureML)
• MLOps tools and practices
• CI/CD
• Monitoring
• Orchestration frameworks (e.g., Kubeflow, Flyte, MLflow)
• Docker
• Kubernetes
• LLM inference stacks (vLLM, llama.cpp, OpenVINO)
• Model delivery formats (ONNX, .safetensors, HuggingFace model hub)
• GPU infrastructure sizing
• LLM performance benchmarking and evaluation
• Python
• SQL
• ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face)
• Computer Vision models
• Speech models
• Vision-Language models
• AI model optimization
• Quantization
• Deployment to edge devices
• RAG pipelines
• Multi-agent systems
• Data architectures (batch & streaming)
• Big data technologies
• Data privacy
• Ethical considerations in AI
• GDPR compliance
• EU AI Act

Location

• London, UK

Work Type

• Hybrid
• Flexible working hours

Experience Level

• Technical partner pre-sales or consulting role
• Solutions Architect
• Sales Engineer
• Implementation Consultant

Education Level

• Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.

Benefits

• Equal pay guaranteed.
• Signing bonus.
• Relocation package (if applicable).
• Eligibility for educational budget according to internal policy.
• Language classes and discounted lunch options.
• Career plan.
• Opportunity to learn and teach.

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.
• 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.”

Equal Opportunity

• 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 to apply.