AI Software Engineering Analyst

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 whats possible.

This is more than a strategic shift. Its a chance for driven professionals to grow learn and make a real difference.

Our mission is to contribute to help 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.

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.

THE DIFFERENCE YOU MAKE

CDAIO/ AI TECH is looking for a AI Software Engineering Specialist based out of Madrid.

You will be responsible for designing developing and implementing AI-driven solutions that accelerate software delivery improve software quality and automate engineering and operational processes across the development ecosystem.

This is a highly technical role requiring deep expertise across software architecture application development DevOps cloud platforms and AI-enabled engineering practices.

Were shaping the way we workthrough innovation cutting-edge technology collaboration and the freedom to explore new ideas. To succeed in this role you will be responsible for:

• Design and developdeterministic agents and intelligent automation systemsfocused on software engineering use cases.

• Implement AI-powered solutions to automate SDLC activities including:code generation and review automated testing technical documentation quality analysis incident management CI/CD pipelines observability and operations.

• Design scalable resilient and secure software architectures in cloud environments.

• Contribute to architecture decisions and technical standards.

• Develop modern backend and frontend applications.

• Integrate AI/LLM capabilities into enterprise platforms and engineering workflows.

• Define and promote best practices in software engineering security observability and automation.

• Collaborate with multidisciplinary teams across engineering infrastructure architecture and business domains.

• Lead innovation initiatives related to AI-enabled software engineering.

• Evaluate emerging AI technologies frameworks and tooling.

WHAT YOULL BRING

Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organization. Were 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.

Professional Experience

• 5 years of experience in DevOps Site Reliability Engineering or Platform Engineering roles. (Required)

• Proven experience supporting across: software architecture technical design backend/frontend development systems integration testing deployment DevOps application operations.

• Hands-on experience building: deterministic agents automated workflows AI-based systems engineering assistants automation platforms.

• Hands-on experience with containerization (Docker Kubernetes) and orchestration of microservices. (Required)

• Strong background in managing cloud environments (AWS or GCP) including cost optimization and security best practices. (Required)

• Solid experience implementing CI/CD pipelines and using tools such as Jenkins GitHub Actions GitLab CI or similar

• Familiarity with machine learning workflows model deployment patterns and MLOps tools (e.g. MLflow Kubeflow SageMaker Vertex AI). (Preferred)

Education

• BSc or MSc in Computer Science Engineering or a related technical field. (Required)

• Relevant certifications in cloud platforms or DevOps practices (e.g. AWS DevOps Engineer Azure DevOps Google Cloud DevOps). (Preferred)

Languages

• Spanish proficiency. (Required)

• High level of English . (Preferred)

Hard Skills

• Strong experience with public cloud platforms:AWS Azure. (Required)

• Advanced experience with several modern software engineering technologies across backend frontend APIs integration DevOps and platform engineering including Java/Spring Boot Python ; React Angular and TypeScript; REST APIs GraphQL and event-driven architectures using Kafka or RabbitMQ; as well as Docker Kubernetes Terraform CI/CD tools such as GitHub Actions GitLab CI or Azure DevOps and monitoring and observability platforms. (Preferred)

• Practical knowledge and hands-on experience in AI including LLM-based architectures deterministic AI agents propt engineering Retrieval-Augmented Generation agent orchestration frameworks and AI-driven automation with exposure to frameworkds such as LangChain LangGraph Semantic Kernel AutoGen and CrewAI as well as integration with models from OpenAI Antrhopic Gemini or AWS Bedrock. (Preferred)

Soft Skills

• Strong analytical and problem-solving capabilities.

• Strategic and architectural mindset.

• High level of technical autonomy.

• Automation-first mentality and continuous improvement mindset.

• Technical leadership and mentoring skills.

• Strong communication and collaboration abilities.

WE VALUE YOUR IMPACT

Your contribution matters and its recognized. You can expect a fair competitive reward package that reflects the impact you create and the value you deliver. But we know rewards go beyond numbers.

• Were enable our teams to go beyondthrough global opportunities and broad career paths.

• Flexibility that works. Enjoy a hybrid working modelssome days remote some days onsite with your teamalong with flexible hours.

• Learning for life. Access hundreds of courses on our platforms including exclusive access to our global learning space: Santander Open Academy ()

• Competitive rewards. Receive a highly competitive salary with performance-based bonuses motivating you to keep growing with us.

• Financial advantages. Benefit from preferential banking terms special interest rates on loans life insurance and more.

• Your health is our priority. Through BeHealthy our global wellness programme we promote Holistic wellbeing.

• We know family is everything. Thats why we offer childcare support and family-friendlyprogrammes tailored to each life stage.

• Always by your side. Get access to Santander Contigo our program for employees and their families offering legal emotional and administrative advisory services.

• Extra benefits. Gym/WellHub membership medical centers in some of our facilities meal subsidy parking shuttle service from various points in Madrid as well as exclusive discounts and offers for Santander employees. And thats only the beginningwell tell you more when you join!

Were here to keep you motivated help you reach your goals and celebrate your progress every step of the way.

LOCAL COMPLIANCE

Santander is proud of being an organization where there are equal opportunities regardless of age gender disability civil status race religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates.

WHAT TO DO NEXT

If this sounds like a role you are interested in then please apply.

READY TO TAKE THE NEXT STEP IN YOUR JOURNEY