Solutions Architect (AI)

TL;DR

Solutions Architect (AI): Crafting innovative and scalable AI-powered solutions for enterprise customers with an accent on pre-sales, LLM inference stacks, and cloud deployment. Focus on bridging the gap between quantum-AI technology and business needs through technical proposals, GPU sizing, and performance benchmarking.

Location: Hybrid in London, UK. Must have legal authorization to work in the UK

Company

European deep-tech leader specializing in advanced AI and quantum software to solve high-impact enterprise challenges.

What you will do

• Bridge the gap between AI/quantum technology and customer needs to craft scalable, robust solutions.
• Interface with technical and non-technical stakeholders for pre-sales and consulting.
• Develop technical proposals, respond to RFPs/tenders, and conduct independent product demos.
• Design AI workload containerization and orchestration using Docker and Kubernetes.
• Size GPU infrastructure and benchmark LLM performance regarding accuracy, latency, and throughput.
• Collaborate on the deployment of AI models across sovereign, on-premise, and hybrid cloud environments.

Requirements

• Experience in technical pre-sales or consulting roles such as Solutions Architect or Sales Engineer.
• Proficiency in cloud platforms (AWS, Azure, GCP) and AI/ML services (SageMaker, Vertex AI, AzureML).
• Hands-on coding skills in Python and SQL, with experience in PyTorch, TensorFlow, and Hugging Face.
• Knowledge of MLOps tools (Kubeflow, MLflow) and LLM inference stacks (vLLM, llama.cpp, OpenVINO).
• Bachelor's or Master's degree in Computer Science, Data Science, or a related engineering field.
• Legal authorization to work in the UK and willingness to travel for meetings and conferences.

Nice to have

• Experience with Computer Vision, Speech, or Vision-Language models.
• Knowledge of AI model optimization, quantization, and deployment to edge devices.
• Hands-on experience designing RAG pipelines or multi-agent systems.
• Experience with big data technologies and data architectures (batch & streaming).
• Familiarity with GDPR and the EU AI Act.

Culture & Benefits

• Guaranteed equal pay and a signing bonus.
• Relocation package and eligibility for an educational budget.
• Hybrid work model with flexible working hours.
• Language classes and discounted lunch options.
• Career development plan with opportunities to learn and teach in a high-paced environment.