Senior Genai Engineer – Llms & Rag - Málaga

Accenture; Málaga; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Stock purchase plans

Flexible schedules

Training paths

Sustainability programs

Diversity networks

Descripción de la vacante

Accenture is seeking a GenAI specialist to design and deploy scalable AI solutions, and to manage end-to-end RAG pipelines in production. You will work within the Data & AI team to translate client needs into robust AI architectures using cloud-native tools in a hybrid role across Spain.

You’ll integrate foundational models from providers like OpenAI and Bedrock, collaborating with cross-functional teams to operationalize models at scale and monitor performance of pipelines.

Formación

• 3+ years hands-on AI experience.
• Experience with LangChain or LangGraph for GenAI orchestration.
• Strong LLM fundamentals: transformers, embeddings, tokenization.
• Proficiency in at least one cloud platform (AWS/Azure/GCP).
• Excellent English communication (B2/C1).

Responsabilidades

• Design and deploy scalable GenAI solutions for production.
• Develop and manage end-to-end RAG pipelines.
• Integrate foundational models from providers like OpenAI and Bedrock.
• Collaborate with cross-functional teams to productionize AI models.
• Monitor and optimize performance of deployed models and pipelines.

Herramientas

OpenAI API

Amazon Bedrock

Azure AI Studio

Descripción del empleo

In this role you will design and deploy scalable GenAI solutions and manage end-to-end RAG pipelines in production. You will work within the Data & AI team to translate client needs into robust AI architectures using cloud-native tools. You’ll integrate foundational models from providers like OpenAI and Bedrock, collaborating with cross-functional teams to operationalize models at scale. This position offers hybrid work across Spain with opportunities to influence AI strategy and delivery in client engagements.

• Health, life, and accident insurance
• Flexible compensation and stock purchase plans
• Flexible schedules and vacation policies
• Personalized training paths
• Sustainability programs
• Diversity networks
• Design and deploy end-to-end AI solutions using LLMs, LangChain/LangGraph, and cloud-native tools
• Develop and manage RAG pipelines: ingestion, chunking, embeddings, vector storage, retrieval, and generation
• Integrate foundational models from platforms like Amazon Bedrock and OpenAI
• Collaborate with cross-functional teams to define architecture and productionize AI models
• Monitor and optimize performance of deployed models and pipelines
• 3+ years of hands-on AI experience
• Experience with LangChain or LangGraph for GenAI orchestration
• Deep understanding of LLM fundamentals: Transformers, attention, 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)
• clear communication
• cross-functional collaboration
• problem-solving mindset
• LangChain
• LangGraph