AI / Machine Learning Solutions Architect

Help make a difference for those living with rare diseases by volunteering with the Rare Genomics Institute (RG). Our non-profit organization is committed to advocating for rare disease patients by connecting them with next generation sequencing, digital health researchers, cutting-edge medical devices and knowledge sharing resources. We are working on a project to utilize artificial intelligence (AI) and machine learning (ML) to bring current, scientifically accurate and understandable information on all known rare diseases to our online platforms. To do this, we are seeking a dedicated, innovative, technically astute AI / ML Solutions Architect to join our team.

This position will be responsible for identifying and implementing artificial intelligence and machine learning solutions in collaboration with our existing project team. The ideal candidate will have a strong background in leveraging generative AI data sources and transitioning them to a user-friendly website interface. This role will help design the overall end-to-end architecture and data flow pipeline for a rare disease chatbot, and guide technology evaluation and selection decisions. The final output will present medically and scientifically vetted disease information that is understandable to non-experts. We expect that patients, family members, caregivers, researchers and those simply interested in specific rare diseases will utilize this information to understand and cope with rare conditions, and to learn about causes and treatment strategies. We will provide this service free of charge and open to all.

Qualifications :

• Strategic thinker with leadership and communications skills to work with cross-functional teams and any direct reports.
• Experience with LLM, RAG and vector databases to create advanced generative AI prompts to obtain relevant data from multiple sources and consolidating the information to identify and remove inaccuracies.
• Deep AI / ML systems knowledge with proven experience designing and deploying AI / ML solutions or products, preferably in SaaS (software as a service), healthtech, or similar areas.
• Experience with AI development tools and frameworks such as Python, TensorFlow, PyTorch, Hugging Face, or similar.
• Experience with front-end / back-end integration of AI models, especially for delivering accessible, plain-language content to lay audiences.

Responsibilities :