Role Overview:This role is for a Chief AI Architect with extensive experience in AI, Machine Learning, and enterprise architecture, focusing on designing and implementing advanced AI solutions and knowledge platforms.
Key Responsibilities:- Architecting Retrieval-Augmented Generation (RAG) systems, vector search, and Large Language Model (LLM)-based knowledge platforms.
- Designing and implementing robust data pipelines.
- Developing APIs and event-driven systems.
- Implementing containerization strategies using Docker and Kubernetes.
- Ensuring security-by-design principles are integrated into all architectural solutions.
Required Skills:- Strong hands-on experience with Python programming.
- Proficiency in Cloud ML platforms, specifically Azure.
- Experience with Vector Databases such as Pinecone and DB-Vector.
- Familiarity with orchestration frameworks like LangChain or LlamaIndex.
- Expertise in fine-tuning and embeddings for AI models.
- In-depth knowledge of document AI, Natural Language Processing (NLP), and unstructured data processing.
Qualifications:- 10-15 years of experience in AI, ML, or enterprise architecture roles.
- Proven track record in architecting RAG systems, vector search, and LLM-based knowledge platforms.
Preferred Skills:- Experience or familiarity with document chunking, knowledge graphs, and vectorization techniques.
- Prior experience in the financial services sector, preferably in commercial real estate credit, servicing, or asset management.
