Enterprise AI Architect (Principal / Expert)

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).