Senior Solutions Architect

About role

Job title: Senior Solutions Architect

Location: London, UK

Nationality: British (Mandatory)

Required skills:

• Prior experience in a technical role oriented towards pre-sales, partners or consulting, with a strong component of interaction with partners and clients (e.g.: Solutions Architect, Sales Engineer, Implementation Consultant).
• Excellent communication and presentation skills, with the ability to interact effectively with both technical and non-technical audiences.
• Experience in writing technical proposals and responding to tenders (RFPs/tenders).
• Experience in independently conducting product demonstrations and technical workshops.
• Solid knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g. SageMaker, Vertex AI, Azure ML), including sovereign, on-premise and hybrid deployment models.
• Proficiency in MLOps tools and practices: CI/CD, monitoring and orchestration frameworks (e.g. Kubeflow, Flyte, MLflow).
• Good knowledge of Docker and Kubernetes for containerizing AI workloads.
• Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model deployment formats (ONNX, .safetensors, Hugging Face Model Hub).
• Experience in sizing GPU infrastructures for LLM model inference or training (memory, throughput, hardware categories ranging from A10 to H200).
• Experience in evaluating and benchmarking LLM performance (accuracy, latency, throughput).
• Practical skills in Python and SQL programming, as well as knowledge of ML libraries and frameworks such as PyTorch, TensorFlow and Hugging Face.
• Bachelor's or Master's degree in computer science, data science, engineering or related field.
• Availability to travel as required for meetings, conferences and projects.

Desired qualifications

• Experience with computer vision, speech processing, vision-language and other multimodal models.
• Experience in optimizing, quantifying, or deploying AI models on edge devices.
• Practical experience in the design of RAG (Retrieval-Augmented Generation) pipelines and/or multi-agent systems.
• Experience in designing data architectures (batch and streaming) and in using Big Data technologies.
• Knowledge of the issues related to data privacy and AI ethics, including GDPR compliance and a good understanding of the European AI Act.

Advantages & Benefits

• Equal pay guaranteed.
• Signing bonus.
• Relocation package (if applicable).
• Access to a training budget in accordance with internal policy.
• Hybrid work model.
• Flexible working hours.
• Language courses and catering options at preferential rates.
• Work in a dynamic and innovative environment, at the heart of cutting-edge technologies.
• Structured career plan with numerous opportunities for learning and knowledge sharing.
• A progressive company with a culture focused on employee well-being and satisfaction.