Senior GenAI Engineer – LLMs & RAG

At Accenture, we believe in technology as the engine for the total reinvention of the company. We work with the leading platforms and partners in the market to drive our clients' businesses through digitalization, AI, and data. If you want to be part of a Great Place To Work® and join a team of over 801,000 professionals worldwide, keep reading: What You’ll Be Doing As a Senior AI Engineer in our Data & AI team, you will: Design and build scalable GenAI pipelines using modern orchestration frameworks and cloud services. Manage full RAG (Retrieval-Augmented Generation) pipelines: ingestion, chunking, embeddings, vector storage, retrieval, and generation. Integrate and manage foundational models (FMs) from platforms like Amazon Bedrock and OpenAI. Collaborate with cross-functional teams to define architecture and operationalize AI models in production environments. The position is based in Madrid, Barcelona, Coruña, Málaga, Sevilla in a hybrid work model, combining remote work with in-office collaboration to foster team synergy. You must reside in Spain and have a valid work permit. Responsibilities Develop and deploy end-to-end AI solutions using LLMs, LangChain/LangGraph, and cloud-native tools. Apply ML/DL frameworks (TensorFlow, PyTorch, Hugging Face) to solve real-world problems. Ensure code quality, scalability, and maintainability following software engineering best practices. Monitor and optimize performance of deployed models and pipelines. Must-Have Skills 3+ years of hands-on experience in Artificial Intelligence. Strong Python development skills. Experience with LangChain or LangGraph for GenAI orchestration. Deep understanding of LLM fundamentals: Transformers, attention mechanisms, embeddings, tokenization. Proficiency in at least one cloud platform (AWS, Azure, or GCP). Experience with Azure AI Studio or Amazon Bedrock. Strong experience with RAG pipelines and OpenAI APIs. Familiarity with ML libraries: scikit-learn, Pandas, Numpy. Excellent communication skills in English (B2/C1 level). Nice-to-Have Skills Knowledge of Responsible AI and Guardrails. Experience with Amazon SageMaker, semantic search tools (Kendra, OpenSearch). Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly). Exposure to CI/CD and MLOps practices. Understanding of Infrastructure as Code (Terraform, CloudFormation). Experience in financial services or regulated environments. Contributions to the open-source AI community. What We Offer At Accenture, recognized as a Great Place To Work®, we embrace a hybrid work model that fosters human connection through technology and collaboration. We are proud to be named the most diverse company in the world by Refinitiv. You’ll also enjoy: Health, life, and accident insurance Medical services and wellness programs Flexible compensation and stock purchase plans Flexible schedules and vacation policies Personalized training paths Sustainability programs and Accenture Foundation initiatives Employee diversity networks Additional perks: Bankinter office benefits and profit sharing About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change. Visit us at Igualdad de Oportunidades en el Empleo Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, grado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil, estado de ciudadanía o cualquier otro motivo o circunstancias protegidas por las leyes federales, estatales o locales.