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# AI TRANSFORMATION LEAD

- **Company:** Banco Santander, S.A.
- **Location:** Tarragona, Spain
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Python (Programming Language), Software Product Management, Cloud Platform System, Evaluation Pipelines, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Agentic-AI, Kubernetes, Information Technology, Low Latency, Data Management, Machine Learning Operations, Drift Detection
- **Published:** October 4, 2026
- **Apply:** https://www.adzuna.es/details/5909683241

## About the Role

* 3-4+ years of experience in AI/ML, AI product, or AI transformation roles. (Required).
 * Proven experience deploying AI systems into production environments. (Required).
 * Experience working in regulated environments, preferably within banking or financial services. (Preferred).
 * Demonstrated ability to manage AI initiatives from concept and prototyping through to production and adoption. (Required).
 * Experience collaborating with cross-functional teams across AI, Data, Engineering, Product, and Business. (Required).

Education & Languages

 * Degree in Engineering, Computer Science, Data Science, or a related field. (Required).
 * Fluent English. (Required).
 * Fluent Spanish. (Required).

Hard Skills

 * Strong Python development skills. (Required).
 * Hands-on experience with Large Language Models and prompt engineering. (Required).
 * Hands-on experience with RAG architectures and vector databases. (Required).
 * Experience designing agentic workflows and working with orchestration frameworks. (Required).
 * Knowledge of MLOps practices and AI evaluation pipelines. (Required).
 * Experience working with cloud environments, such as AWS. (Required).
 * Ability to operate effectively at both system-design and implementation-detail levels. (Required).
 * Ability to design prompt templates, guardrails, experimentation processes, and evaluation frameworks. (Required).

Profile

 * High ownership mindset with a strong bias toward execution.
 * Ability to build technical credibility with engineers while maintaining a strategic dialogue with executives.
 * Structured thinking and confidence operating in ambiguous and evolving environments.
 * Strong communication skills across business and technical audiences.
 * Ability to connect AI capabilities with measurable business value and user adoption.

## Description

As our AI TRANSFORMATION LEAD, you will drive enterprise AI initiatives end-to-end, from defining the strategy and identifying high-impact use cases to the hands-on development, deployment, and scaling of AI solutions.
This role brings together AI product leadership, technical architecture, and direct development. You will design, prototype, and scale AI systems, including Large Language Models, Retrieval-Augmented Generation solutions, AI agents, and automation workflows, delivering measurable value within a regulated banking environment.
You will operate comfortably across both strategic and technical contexts: discussing ROI with executive stakeholders, defining system architectures with engineering teams, writing Python code, and developing high-quality prompts and evaluation pipelines.

The role offers a unique opportunity to combine strategic vision with hands-on execution, helping transform promising AI opportunities into reliable, scalable, and production-ready solutions.

Main Responsibilities:
AI Strategy & Product Definition

 * Identify high-impact AI opportunities across business units.
 * Translate business challenges into scalable AI roadmaps and clearly defined use cases.
 * Define measurable success metrics, adoption strategies, and expected business outcomes.

Hands-on Development

 * Develop AI prototypes and production components using Python.
 * Implement Retrieval-Augmented Generation pipelines, embedding workflows, and orchestration logic.
 * Build integrations with APIs, internal systems, and data platforms.
 * Design, test, and optimize prompts to improve reliability, accuracy, and safety.
 * Create structured prompt templates, guardrails, and evaluation frameworks.
 * Run experiments to benchmark model performance and iterate using telemetry and human feedback.

Architecture & Delivery Leadership

 * Define scalable AI architectures covering LLMs, vector databases, agent frameworks, and MLOps capabilities.
 * Oversee model lifecycle management, monitoring, and drift detection.
 * Lead cross-functional squads involving AI, Data, Engineering, and Business teams.
 * Ensure production-grade performance, resilience, scalability, and latency.

Value Realization

 * Own AI initiatives from initial concept through to production deployment.
 * Track KPIs and ensure that solutions deliver measurable business impact.
 * Drive stakeholder alignment, organizational adoption, and effective execution.