AI Software Engineering Analyst

About the role

Santander is building a world‑class AI & Data team within its Chief Data & Artificial Intelligence Office. Based in Madrid, the AI Software Engineering Analyst will design, develop and implement AI‑driven solutions that accelerate software delivery, improve quality and automate engineering processes across the bank’s development ecosystem.

Key responsibilities

• Design and develop deterministic agents and intelligent automation systems for software engineering use cases.
• Implement AI‑powered tools to automate SDLC activities such as code generation, code review, automated testing, documentation, quality analysis and incident management.
• Build scalable, resilient and secure software architectures on cloud platforms and contribute to architecture decisions and technical standards.
• Develop modern backend and frontend applications and integrate AI/LLM capabilities into enterprise platforms and engineering workflows.
• Define and promote best practices in software engineering, security, observability and automation while collaborating with multidisciplinary teams.

Required profile

• Strong technical background with deep expertise in software architecture and application development.
• Hands‑on experience with DevOps practices, CI/CD pipelines and cloud environments.
• Proactive attitude toward risk management and a passion for innovative AI‑enabled engineering.

Required skills

• Software architecture
• Application development (backend and frontend)
• DevOps and CI/CD pipelines
• Cloud platforms
• AI‑enabled engineering practices
• Automation of code generation, testing and documentation
• Observability and security best practices