Lead AI Engineer, Business Acceleration

About the role

SGS, a global testing, inspection and certification company, is launching a central AI Hub in Madrid and is hiring a Lead AI Engineer to run one of its business-unit teams. The role acts as the bridge between a specific business challenge and the central AI platform, turning high-stakes business problems into AI-powered solutions with measurable P&L impact.

Key responsibilities

• Partner with P&L owners and subject-matter experts to co-develop a roadmap of AI initiatives, from discovery and prototyping to full deployment.
• Lead hands-on development of AI applications, including data analysis, prompt engineering and agentic workflows.
• Act as the main technical partner to the central AI Hub, using shared platforms and reusable components and feeding back critical feedback on the central roadmap.
• Pack successful solutions and techniques into reusable "Lego Bricks" for the central library.
• Mentor product engineers in the Accelerator Team and guide them toward technical excellence.
• Own each project end to end, from business case to delivery and handover.

Required profile

• Extensive experience (e.g. 8+ years) in AI/ML, with a hands-on, player-coach approach.
• Strong product mindset and ability to turn ambiguous business needs into concrete technical requirements.
• Excellent communication with non-technical business leaders, product managers and central technology teams.
• German is not required but advantageous.

Required skills

• Generative AI and LLMs: RAG, agentic systems (LangChain/LlamaIndex), fine-tuning and evaluation.
• Expert Python and classical ML and deep learning (PyTorch preferred).
• Vector databases (Pinecone, Weaviate), Docker, Kubernetes and cloud AI services (GCP Vertex AI, AWS Bedrock/SageMaker).

What we offer

• A competitive salary and bonus package for Madrid.
• Highly visible projects with direct P&L impact.
• An autonomous, startup-like team embedded in the business, backed by a central AI platform.
• The chance to apply AI to unique datasets from global supply chains, materials science and industrial testing.