About the Company

Our client is a global industry leader undergoing a major AI-driven transformation. As part of its Integral 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

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About the Role

As an AI Engineer, you will join the Global 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, with a solid foundation in Machine Learning, Deep Learning and/or Data Science. Within this experience, 1–2 years of hands-on work with Generative AI and/or Agentic AI solutions applied to real business use cases
- Proven experience taking AI solutions from experimentation or proof of concept through to production deployment
- Strong Python skills and practical experience xqbhyrx with LLMs and AI orchestration frameworks such as LangChain, LangGraph or similar
- Ability to understand business challenges and translate them into practical, scalable AI solutions
- Experience collaborating with business and technical stakeholders in enterprise environments
- Professional working proficiency in English and Spanish

Nice to Have

- Experience with AWS, Microsoft Azure and/or Google Cloud Platform
- Knowledge of agentic protocols such as A2A and MCP
- Relevant cloud or AI certifications
- Experience in banking, retail, pharmaceutical and/or manufacturing environments
- Exposure to AI-enabled business process transformation with measurable impact
- Experience working in global corporate environments

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 - barcelona
🏢 Jobrapido
📍 Barcelona