AI Services Technical Solution

• University degree in Computer Science, Engineering, Mathematics, Physics, or a related discipline.
• Minimum of 2 years of experience in the implementation, evolution, or operation of Artificial Intelligence solutions in enterprise environments.
• Experience working with AI platforms, services, or architectures, whether proprietary or third-party.
• Experience in production environments with availability, quality, and scalability requirements.
• Experience in the maintenance and continuous improvement of Artificial Intelligence systems.

• Advanced level of English, both written and spoken.

• Your way_ Find the work-life balance you need with our hybrid working model. Up to 60% remote working depending on the project. 🤩
• Rest_ You can have 27 days' holiday a year with the option of choosing the best times of the year for you.
• Be Tech, be healthy_ No more excuses. Take advantage of our Well-being programme. You can enjoy discounts in gyms, branch physio service, sporting tournaments, fruit, etc. 🏋️♀️♀️👨⚕
• Grow_ Our DNA [No Limits 🚀, Tech4u 💻 y One Committed Team 💪] exists so that you can develop all your technical potential using our training and initiatives. Always stay up to date and learn from a team that you will guide in all your endeavours.
• Working here pays_ Get more from your salary with the Flexible Remuneration Programme and take advantage of the financial advantages of working for a banking group.

We are looking for inquisitive and committed people. People looking to grow, but most importantly, to improve the surrounding environment. Are you one of them? Then this vacancy is for you!

What your day to day life will look like...

Seniority: Minimum of 2 years of experience in the implementation, evolution, or operation of Artificial Intelligence solutions in enterprise environments.

We drive the adoption of Artificial Intelligence across the CaixaBank Group through scalable, secure, and sustainable corporate services, platforms, and solutions.

Within the AI Services team, we work to ensure that the Group's AI capabilities operate with the highest standards of quality, robustness, security, and efficiency. We also promote reuse, standardization, and best practices throughout the entire lifecycle of AI solutions.

You will be part of a multidisciplinary team responsible for the evolution and operation of AI services based on, among others, Generative AI and agentic systems, document analysis and processing, recommendation engines, and Machine Learning models applied to a wide range of business domains.

Your mission will be to ensure the successful implementation, maintenance, governance, and continuous improvement of these solutions, helping them deliver maximum value to the Group in a sustainable and scalable manner.

• Ensure the availability, stability, and proper functioning of AI services and platforms in production environments.
• Participate in the end-to-end lifecycle management of AI solutions, including service transition, maintenance, evolution, and decommissioning.
• Analyze incidents and complex issues, leading their resolution and identifying preventive actions to avoid recurrence.
• Monitor solution performance, quality, and usage through operational metrics and indicators.
• Promote the integration of service standards from the solution design phase, defining and driving best practices for the Group's AI solutions.
• Ensure compliance with policies, governance frameworks, and standards related to Artificial Intelligence.
• Participate in technical quality reviews, risk assessments, and solution validation processes.
• Identify improvement opportunities to enhance the efficiency, maintainability, scalability, and sustainability of solutions.
• Drive automation, industrialization, and operational process optimization initiatives.
• Define and track KPIs, SLAs, and service metrics to assess the adoption, quality, and performance of AI systems.
• Identify synergies across initiatives and promote reusable components and services across the organization.
• Ensure solutions are aligned with the Group's enterprise architecture and technology strategy.
• Produce technical documentation, operational guides, and support procedures.

Experience and knowledge in the following areas will be highly valued:

• Generative Artificial Intelligence and Large Language Models (LLMs).
• RAG (Retrieval-Augmented Generation) architectures.
• Multi-agent systems and intelligent assistants.
• Prompt Engineering and model evaluation.
• Natural Language Processing (NLP), speech, image processing, and document analysis.
• MLOps, LLMOps, DataOps, and best practices for model operations.
• Observability, monitoring, and metrics management for AI systems.
• AI Governance, Responsible AI, and risk management.
• Cloud environments (Google Cloud, Azure, and AWS).
• API-based architectures, microservices, and containerized environments.
• Programming in Python, SQL, and/or Java.
• Automation and CI/CD tools.

• Service-oriented mindset and commitment to operational excellence.
• Strong analytical and complex problem-solving skills.
• Structured thinking and a data-driven approach.
• Ability to identify risks and propose mitigation measures.
• Continuous improvement mindset and process optimization focus.
• Ability to understand complex technology ecosystems and their business impact.
• Strong communication and influencing skills with both technical and business stakeholders.
• Teamwork and cross-functional collaboration capabilities.
• Autonomy, proactivity, and the ability to manage priorities effectively.
• Strong motivation to drive the responsible and sustainable adoption of Artificial Intelligence.

If you are passionate about...

Grow professionally in an innovative technological environment, with challenging projects and together with major IT partners.

JOIN US