Enterprise AI Architect (Principal / Expert)

• Minimum 5–8 years of experience in software, data, or machine learning engineering
• At least 3 years in an Architecture or Technical Design Authority role
• Proven hands-on experience with AI/ML systems at scale
• Deep practical knowledge of large language models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, and context engineering
• Experience designing data and integration architecture for complex enterprise systems
• Understanding of security, data privacy, and model risk review frameworks in regulated environments

Nice to have:

• Experience in FinTech, banking, or other high-volume transactional environments
• Recognized cloud or architecture certifications such as TOGAF, AWS, Azure, or GCP Solutions Architect
• Postgraduate qualifications (Master's or Ph.D.) in technical disciplines like Computer Science, Data Science, or Mathematics

• Designing and deploying AI/ML systems running at scale in production
• Acting in an Architecture or Technical Design Authority role
• Designing data and integration architecture across complex, heterogeneous enterprise systems
• Ensuring security, data privacy, and model risk review frameworks in regulated environments