AI Architect for Regulatory Document Processor

We are building Regulatory Watchtower – a private AI system designed to monitor, analyze, and interpret continuously changing regulatory documents (e.g. pharma, compliance, legal texts). The system is not a demo. It is meant to be: explainable auditable resistant to hallucinations suitable for regulatory environments This is a real production-grade AI system, not a chatbot toy. Your Role You will act as an AI / LLM Architect, responsible for: designing the AI architecture implementing a robust RAG pipeline ensuring traceability, source integrity, and answer reliability supporting the transition from POC to production You will work directly with the product owner (business + regulatory background). Required Skills Strong Python (production-level) Hands-on experience with LLMs: OpenAI / Azure OpenAI and/or local models (LLaMA, Mistral) RAG architectures: embeddings, chunking strategies, retrieval tuning vector databases (FAISS, Qdrant, Weaviate, Pinecone) Document processing: PDFs, OCR, regulatory texts Prompt engineering + response evaluation FastAPI (or similar) Git, Docker Nice to Have Experience with regulatory, legal, pharma, compliance, or financial documents AI Agents / workflow orchestration Private / on-prem AI setups Hallucination mitigation strategies Monitoring & evaluation of LLM outputs What We Value Most System thinking over hype Ability to explain why an answer is generated Awareness of LLM limitations and risks Clean documentation and architectural reasoning If your instinct is “this needs guardrails” – you’re our person. Engagement Model Start with a 4–6 week POC Extend into iterative development Flexible workload Competitive freelance rates (senior level)

Project ID: 40189156