Enterprise AI Architect (Principal / Expert)

Requirements

Requirements (Must-have): Experience: Minimum 5–8 years of experience in software, data, or machine learning engineering, including at least 3 years in an Architecture or Technical Design Authority role . Production AI/ML Practice: Proven hands-on track record of designing and deploying AI/ML systems running at scale in production. Domain Expertise: Deep practical knowledge of large language models (LLMs), RAG (Retrieval-Augmented Generation), embeddings, vector databases, and context engineering. Enterprise Integration: Experience designing data and integration architecture across complex, heterogeneous enterprise systems. Security & Governance: Exposure to regulated environments and understanding of security, data privacy, and model risk review frameworks. Nice-to-have: Experience in FinTech, banking , or other high-volume transactional environments. Recognized cloud or architecture certifications (e.g., TOGAF, AWS/Azure/GCP Solutions Architect). Postgraduate qualification (Master's or Ph.D.) in a technical discipline (Computer Science, Data Science, Mathematics, or a related field).

Must have: AI Architecture, LLM, RAG, Enterprise Architecture, Vector Databases, Python, Cloud

Nice to have: Fintech, Banking