Our client is a global industry leader undergoing a major AI-driven transformation. As part of its Global AI strategy, the company is investing in enterprise AI capabilities to accelerate business transformation, improve decision-making and unlock value across the organization. Joining the Global AI team means becoming part of a strategic function focused on delivering scalable, production-ready AI solutions with real business impact About the Role As an AI Engineer, you will join the General AI team, designing, developing and deploying end-to-end AI solutions that solve complex business challenges and deliver measurable value.

Initially focused on Generative AI, Agentic AI and LLM-based applications, you will take solutions from experimentation to production while helping build scalable, enterprise-ready AI capabilities Responsibilities Analyze business challenges and transformation opportunities, translating them into effective AI-driven solutions Assess and select the most appropriate AI approach (Machine Learning, Deep Learning, Computer Vision, Generative AI, Agentic AI or hybrid solutions) for each business use case Execute end-to-end AI projects, from discovery, experimentation and prototyping through to production deployment and business adoption Design, integrate and deploy scalable AI solutions in enterprise environments Support the first wave of business transformation initiatives within Finance, while building reusable AI assets and best practices that can be applied across other business domains Ensure AI solutions meet performance, robustness, scalability, security and maintainability requirements Deploy AI solutions into production environments and support model monitoring, retraining and lifecycle management Adhere to architectural,



security and AI governance standards defined by the Global AI Department Continuously explore and evaluate emerging AI techniques, models and technologies, assessing their applicability within enterprise environments Contribute to proofs of concept, technical evaluations and reusable delivery patterns Share technical insights and recommendations with both business and technical stakeholders Requirements Must Have 5+ years of professional experience in Artificial Intelligence 3+ years of experience as a Data Scientist or Machine Learning Engineer 1-2 years of hands-on experience delivering Gen AI / Agentic AI solutions for real business use cases Strong hands-on experience with Machine Learning, Deep Learning and/or Computer Vision Proven experience taking AI solutions from proof of concept to production deployment Hands-on experience working with LLM ecosystems such as Open AI, Anthropic, Google, Amazon Bedrock and Hugging Face Experience with Lang Chain, Lang Graph or similar AI orchestration frameworks Knowledge of agentic protocols such as MCP and A2 A Strong problem-solving and analytical skills with the ability to translate business challenges into practical AI solutions Pragmatic mindset focused on delivering measurable business value Professional working proficiency in English and Spanish Nice to Have Experience building enterprise AI capabilities across different business functions Experience within industrial or manufacturing environments Experience with MLOps, model monitoring and AI lifecycle management Cloud certifications (AWS, Microsoft Azure and/or Google Cloud Platform) Knowledge of German and/or French If you're ready to help shape the future of enterprise AI as part of a Global AI team, we'd love to hear from you!

📌 Ai engineer (Madrid)
🏢 Bros Group
📍 Madrid