Hybrid AI/Quantum Solutions Architect — Pre-Sales

Hyperproof; Greater London; Hybrid; GBP 85,000 - 130,000; Full time

Benefits offered by this job

Equal pay guaranteed.

Signing bonus.

Relocation package

Educational budget

Hybrid opportunity

Flexible hours

Language classes

Discounted lunch

High paced environment

Career plan

Job summary

Multiverse Computing in London is seeking a Solutions Architect to bridge cutting-edge AI and quantum technologies with customer needs in a pre‑sales role. You will lead technical discussions, craft scalable AI-powered solutions, deliver product demos, and contribute to RFPs and proposals, partnering with engineering and sales.

The role requires strong communication, cloud and ML expertise, and willingness to travel to meet clients and partners.

Qualifications

• Experience in partner pre-sales or consulting roles with customer-facing responsibilities.
• Strong communication, presentation, and ability to run demos and respond to proposals.
• Proficiency with AWS, Azure, or GCP and AI/ML services; experience with on‑prem or hybrid deployments.
• Knowledge of LLM stacks (vLLM, llama.cpp, OpenVINO) and model formats (ONNX, safetensors, HuggingFace).
• Ability to evaluate model performance (accuracy, latency, throughput).
• Hands-on Python coding with PyTorch, TensorFlow, or HuggingFace.
• Bachelor/Master in CS/DS/Engineering.
• Willingness to travel for meetings and conferences.
• English language proficiency.

Skills

Technical partner pre-sales experience

Communication & presentation

Cloud platforms & AI/ML services

LLM stacks & model formats

Benchmarking & performance evaluation

Python coding & ML frameworks

English language

Willingness to travel

Education

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

Tools

Docker

Kubernetes

Kubeflow

Flyte

MLflow

CI/CD tools

Job description

Multiverse Computing in London is seeking a Solutions Architect to bridge cutting-edge AI and quantum technologies with customer needs in a pre‑sales role. You will lead technical discussions, craft scalable AI-powered solutions, deliver product demos, and contribute to RFPs and proposals, partnering with engineering and sales.

The role requires strong communication, cloud and ML expertise, and willingness to travel to meet clients and partners.