Enterprise AI Architect (Principal / Expert)
Коротко
Designs and deploys production AI/ML systems, LLMs, RAG, embeddings, vector databases, and context engineering across complex enterprise systems; owns · Needs: 5–8 years in software, data, or ML engineering; 3+ years in Architecture or Technical Design Authority; production AI/ML at scale; LLM, RAG, vector databases
Описание от работодателя
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