Senior AI Engineer

2 months ago

Barcelona, SpainSenior

Responsibilities

Serve as the department’s AI and cloud architecture subject matter expert, providing strategic guidance on machine learning, generative AI, LLMs, agentic AI, and Microsoft Azure.
Design, build, test, and optimize secure, reliable, and scalable AI and cloud architectures on Azure.
Develop and deploy AI-powered solutions using Azure OpenAI Service, Databricks, and other cloud-native technologies.
Evaluate, select, and integrate foundation models, third-party AI services, and emerging technologies.
Establish governance frameworks, best practices, operating procedures, and documentation for AI, data, and cloud platforms.
Provide technical leadership, support major initiatives, champion AI adoption, and mentor technical teams.
Drive innovation and continuous improvement across AI, cloud computing, and data engineering.
Implement MLOps practices, model lifecycle management, monitoring, fine-tuning, and automated delivery pipelines.

At least 5 years of AI/ML engineering experience, including at least 2 years specializing in generative AI, NLP, LLMs, or agentic AI solutions.
Experience designing and delivering enterprise-scale AI, data, and cloud solutions using Microsoft Azure and Databricks.
Hands-on expertise with Python, SQL, Spark, Azure AI services, Azure OpenAI, Azure Data Lake, Databricks, MLflow, Delta Lake, and model-serving technologies.
Experience building and deploying LLM-based applications using prompt engineering, RAG architectures, vector databases, AI agents, and LangChain or LlamaIndex.
Experience leading AI, data, or technology projects and mentoring technical teams in AI/ML development, solution design, and implementation.
Experience with MLOps, model lifecycle management, monitoring, fine-tuning techniques including LoRA, RLHF, and instruction tuning, and CI/CD automated delivery pipelines.
Degree in Computer Science, Data Science, Machine Learning, or a related field; a Master's or PhD is preferred.
Relevant certifications such as Microsoft Azure AI Engineer Associate or Databricks Machine Learning Professional are valued.
Insurance or financial services experience is advantageous.

Hybrid work model with up to 25 days per year working from abroad.
Company bonus scheme, pension, employee shares program, and employee discounts.
Career development, digital learning programs, international career mobility, and access to more than 10,000 on-demand learning resources.
Flexible working, healthcare, parental leave, and health and wellbeing benefits.
Daily two-hour entry-leave flexibility, reduced schedules on Fridays and during summer, 26 holiday days per year, and recoverable working hours.
Relocation services for international transfers and an open, international working environment.
Full-time, permanent employment.

10,000+ employees