Senior GenAI Engineer

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., 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, Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección En esta oferta serás redirigido a la pagina web de la empresa. Completa el formulario en su web.

• Madrid (Híbrido) Ubicación

• A Coruña, Barcelona, Málaga y Sevilla Otras Provincias

• Inteligencia Artificial/Machine Learning Funciones

• Jornada completa Jornada

• 3 años Experiencia

• Indefinido Tipo contrato

• GenAI Python TensorFlow PyTorch

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.

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, 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.