AI Transformation Lead (Strategy, Product & Hands-on Build) Country: Spain IT STARTS HERE Santander ( ) is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world-class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world. We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world. Our mission is to contribute to helping more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. This job offer is an opportunity not only to join a great company but also to collaborate in projects that have a real impact on society. THE DIFFERENCE YOU MAKE We are looking for an AI Transformation Lead who can drive enterprise AI initiatives end-to-end — from defining strategy and use cases to hands-on development and deployment. This role combines AI product leadership, technical architecture, and direct development. You will design, prototype, and scale AI systems (LLMs, RAG, agents, automation workflows) that deliver measurable value in a regulated banking environment. You are equally comfortable discussing ROI with executives, designing system architecture with engineers, writing Python code, and crafting high-quality prompts and evaluation pipelines. Key Responsabilities: 1 .AI Strategy & Product Definition Identify high-impact AI opportunities across business units. Translate business challenges into scalable AI roadmaps. Define measurable success metrics and adoption strategies. 2. Hands-on Development (Code Prompting) Develop AI prototypes and production components in Python. Implement RAG pipelines, embeddings workflows, and orchestration logic. Build integrations with APIs, internal systems, and data platforms. Design, test, and optimize prompts for reliability, accuracy, and safety. Create structured prompt templates, guardrails, and evaluation frameworks. Run experiments to benchmark model performance and iterate based on telemetry and human feedback. 3. Architecture & Delivery Leadership Define scalable AI architectures (LLMs, vector DBs, agent frameworks, MLOps). Oversee model lifecycle management, monitoring, and drift detection. Lead cross-functional squads (AI, Data, Engineering, Business). Ensure production-grade performance, resilience, and latency targets. 4. Value Realization Own AI initiatives from concept to production. Track KPIs and ensure measurable business impact. Drive stakeholder alignment and adoption. WHAT YOU’LL BRING Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organization. We’re enabling teams to go beyond by valuing who they are and empowering what they bring. The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Degree in Engineering, Computer Science, Data Science, or related field. (Required) Professional Experience 3–4 years in AI/ML, AI product, or AI transformation roles. (Required) Proven experience deploying AI systems into production. (Required). Experience in regulated environments (banking preferred). (Required). Hard Skills Strong Python development skills. (Required). Hands-on experience with: LLMs and prompt engineering (Required). RAG architectures and vector databases (Required). Agentic workflows and orchestration frameworks (Required). MLOps and evaluation pipelines (Required). Cloud environments (e.g., AWS) (Required). Ability to operate both at system design level and implementation detail. (Required). Languages Fluent English and Spanish is required. (Required) Soft Skills High ownership mindset; bias toward execution. Technically credible with engineers; strategic with executives