Senior Solutions Architect

European Recruitment
A Coruña, Spain
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior

Job location

A Coruña, Spain

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Cloud Computing
Continuous Integration
Field-Programmable Gate Array (FPGA)
Python
Natural Language Processing
SQL Databases
Google Cloud Platform
Large Language Models
Kubernetes
Machine Learning Operations
Docker

Job description

Join a European deep-tech leader in quantum and AI. A well-funded, fast-growing company backed by major global investors with its groundbreaking technology is already transforming AI, compressing large language models by up to 95% and cutting inference costs by *****%. This is your chance to be part of a team often described as a "quantum-AI unicorn in the making." This is a Hybrid opportunity working out of Zaragoza. Key Responsibilities Architect & Deliver: Design and lead the end-to-end delivery of complex, scalable AI/ML solutions for global clients, leveraging our proprietary compression and optimisation technology. Technical Authority: Serve as the primary technical expert, guiding clients on architecture best practices across major cloud platforms (AWS, Azure, GCP) and services (e.g., SageMaker, Vertex AI, Bedrock). Stakeholder Management: Translate complex technical requirements and solution designs into clear, compelling narratives for both technical and non-technical executives. System Design: Oversee the design of robust data architectures (batch & streaming) to support large-scale AI model training and deployment. We Are Looking For, Familiarity with embedded systems, low-level electronics programming (PLC/FPGA/GPU), and deploying optimised models. Hands-on Python/SQL coding skills and MLOps practices (CI/CD, Kubeflow, MLflow, Docker/Kubernetes). Perks & Benefits

Requirements

6+ years delivering large-scale AI/ML projects (as a Solutions Architect or ML Engineer). Technical Depth: Solid understanding of core AI/ML concepts (LLMs, NLP, Computer Vision) and the full model lifecycle. Cloud Proficiency: Strong hands-on experience with cloud AI/ML services (AWS, Azure, or GCP). Communication: Excellent English communication and presentation skills. Bonus Points Experience with AI model optimisation, quantization, or edge deployment

Benefits & conditions

Competitive salary, with a signing bonus and a retention bonus at the end of the contract. Flexibility: This is a hybrid role with flexible working hours. A relocation package is available if needed. Culture: We are a fast-scaling company committed to equal pay, diversity, and an inclusive culture. You'll gain international exposure in a multicultural, cutting-edge environment. Interested? Apply directly through LinkedIn, or send your CV to ******

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