Mid/Senior Solution Architect - UK
On-siteLondon, England, United Kingdom
Job Summary
Bridge the gap between Multiverse Computing's quantum-AI technology and customer needs by crafting innovative, scalable solutions for enterprises in finance, energy, and manufacturing. Conduct hands-on product demos, write technical proposals, and respond to RFPs while interfacing with technical and non-technical stakeholders. Size GPU infrastructure for LLM inference or training workloads, benchmark model performance, and design RAG pipelines or multi-agent systems. Collaborate on AI model optimization and deployment across sovereign, on-premise, and hybrid environments. This role requires travel for meetings and conferences and offers a hybrid schedule with flexible hours.
Required Qualifications
- 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, 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 related field
- Must be available to travel as needed for meetings, conferences, and project requirements
- Languages: English
- Location: Applicants must have legal authorization to work in the country where the position is based
Desired 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
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.