Data Engineering Manager

Description

Job Summary: We are seeking a technically specialized profile in developing Generative Artificial Intelligence (GenAI) solutions, with experience in cloud architectures. Key Highlights: 1. Design and develop Generative AI-based solutions 2. Work with cloud and modern data-oriented architectures 3. Collaborate with multidisciplinary and innovation teams **Excited to grow your career?** BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers. **Learn more about the area:** At BBVA, our mission is ' *Accompanying your desire to go further* '. To achieve this, we have adopted a radically customer-centric perspective, aiming to deliver a value proposition that satisfies customers’ needs and life goals—focusing on their financial health and forward-looking support. This translates into a consistent, seamless, and high-quality experience across all our channels. As a fundamental part of this vision, we are building a new banking model , powered by artificial intelligence, data availability, and next-generation technologies. From the **Data Engineering – Engineering Spain** unit, we work to drive this model across all bank areas and businesses. Our environment is undergoing constant technological evolution , enabling us to offer new services, explore innovative possibilities, and launch disruptive projects. In particular, data availability and protection, along with Generative Artificial Intelligence, are paving the way for new use cases—making our area dynamic, continuously evolving, and highly promising. **About the job:** We are looking for a technically specialized profile in developing Generative Artificial Intelligence (GenAI) solutions, with experience in cloud architectures, API integration, and building LLM-based intelligent assistants. The selected candidate will participate in the design, development, and deployment of scalable AI solutions for various corporate use cases, working in multi\-cloud environments and modern data-oriented architectures. **Main responsibilities and functions of the role:** * Design and develop Generative AI-based solutions using LLM models and RAG architectures. * Implement virtual assistants, chatbots, and conversational engines integrated with corporate systems. * Integrate APIs and backend services for GenAI solutions. * Implement embedding mechanisms, semantic search, and contextual information retrieval. * Deploy and operate cloud\-native solutions on AWS, Azure and/or GCP. * Build serverless services and scalable architectures using Lambda, Functions, API Gateway, and equivalent services. * Integrate OpenAI, Azure OpenAI, Claude, Gemini or other LLM providers. * Design and optimize vector databases and semantic search engines such as OpenSearch, Pinecone or similar. * Participate in designing enterprise-level generative AI architectures focused on security, scalability, and observability. * Automate deployments and CI/CD processes using DevOps tools and Infrastructure-as-Code. * Collaborate with multidisciplinary teams from business, architecture, data, and technology domains. * Participate in innovation initiatives and adoption of new applied AI capabilities. **Qualifications:** * Backend development experience with Python. * Experience working with cloud services on AWS, Azure and/or GCP. * Practical knowledge of services such as AWS Lambda, S3, API Gateway, DynamoDB, OpenSearch, Azure OpenAI, Azure Functions or Vertex AI. * Experience integrating LLM model APIs and generative AI services. * Knowledge of RAG architectures, embeddings, and vector databases. * Experience with GenAI frameworks such as LangChain, LangGraph, LlamaIndex or Semantic Kernel. * Experience with CI/CD tools and version control (Git, GitHub, GitLab, Azure DevOps). * Ability to work in agile environments and multidisciplinary projects. * Results orientation, autonomy, and problem-solving capability. * Interest in innovation and continuous learning in AI technologies. **Skills:** * Innovation. * Analytical thinking. * Results orientation. * Continuous learning ability. * Teamwork. * Technical communication. * Proactivity. * Problem solving. * Adaptability. * Customer orientation. * Autonomy. * Organizational ability. * Collaborative mindset. * Technical leadership. * Initiative and continuous improvement. **Skills:** Amazon Web Services (AWS), Artificial Intelligence Strategy, Creative Problem\-Solving, Empathetic Leadership, Generative AI Agents, Goal\-Oriented, Innovation Projects, LangChain (FrameWork), LLM orchestration and integration patterns, Microsoft Azure, Multidisciplinary Teamwork, Proactive Thinking, Python Software Development, Work Initiative