Solutions Architect AI/Quantum Pre-Sales (Hybrid, Flexible)

Multiverse Computing; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Equal pay guaranteed.

Signing bonus.

Relocation package (if applicable).

Educational budget according to policy

Hybrid opportunity.

Flexible working hours.

Language classes and discounted lunch.

Working on cutting edge technologies.

Career plan: learn and teach.

Job summary

Multiverse Computing in London is seeking a Solutions Architect to join our pre-sales team, bridging cutting-edge AI and quantum-powered solutions with client needs. The role combines customer engagement, technical demos, and scalable solution design.

Candidates should have partner-focused experience, strong communication, Python coding skills, and expertise across cloud platforms and ML libraries. We offer a hybrid work model, relocation support, and an educational budget.

Qualifications

• Experience in a technical partner pre-sales or consulting role with partner/customer interactions.
• Strong communication, proposal writing, and RFP/tender responses.
• Experience running hands-on product demos independently.
• Knowledge of cloud and AI services; deployment models including on-premise and hybrid.

Responsibilities

• Bridge technology and customer needs to craft scalable AI-powered solutions.
• Prepare technical proposals and deliver hands-on demos for customers.
• Collaborate with engineering and sales during pre-sales cycles.

Skills

Excellent communication & presentation

Partner-facing experience

Hands-on Python coding

ML libraries (PyTorch, TensorFlow, Hug

Cloud platforms (AWS, Azure, GCP)

LLM stacks knowledge (vLLM, llama.cpp)

English proficiency

Willingness to travel

Education

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

Tools

Docker

Kubernetes

Kubeflow

Flyte

MLflow

Job description

Multiverse Computing in London is seeking a Solutions Architect to join our pre-sales team, bridging cutting-edge AI and quantum-powered solutions with client needs. The role combines customer engagement, technical demos, and scalable solution design.

Candidates should have partner-focused experience, strong communication, Python coding skills, and expertise across cloud platforms and ML libraries. We offer a hybrid work model, relocation support, and an educational budget.