Job Summary (List Format):

- Lead enterprise architecture efforts, translating AI/ML concepts into production-ready solutions.
- Engineer and deploy AI/ML models (including LLMs, RAG) using modern MLOps practices.
- Utilize AI platforms such as AWS (Bedrock, SageMaker, Amazon Q), Azure (AI, ML, OpenAI), and Databricks.
- Apply strong engineering skills including Python, TensorFlow/PyTorch, containerization, Kubernetes, and CI/CD for hybrid cloud environments.
- Develop and implement data modeling and governance standards, particularly in regulated environments.
- Exercise architectural judgement to select optimal AI architectures for various use cases, with end-to-end lifecycle management.
- Lead and mentor a small team of AI architects, contributing to the development of enterprise AI strategy and direction.
- Possess a degree (or equivalent experience) in data science, AI engineering, or a closely related field.
- (Desirable) Hold a postgraduate degree in MIS, AI, or data science.
- (Desirable) Recognized as a thought leader in enterprise AI applications.
- (Desirable) Extensive experience delivering large-scale AI/data science blueprints and building diverse AI models (LLMs, LVMs).

📌 AI Architect (Madrid)
🏢 INSIGHT INTERNATIONAL (UK
📍 Madrid