About the Role
Description:
We are looking for an experienced GenAI ML Senior Engineer to lead transformative AI initiatives. The ideal candidate should have healthcare and Medicare Advantage experience, deep expertise in Google Cloud Platform (Vertex AI, BigQuery), Retrieval-Augmented Generation (RAG) architectures, agentic AI frameworks, Gemini models, and mastery in advanced prompt engineering techniques.
Requirements
What You Will Do:
Architect scalable GenAI solutions using Vertex AI, incorporating RAG pipelines and agentic AI frameworks.
Customize large language models (LLMs) for healthcare-specific domains, ensuring alignment with clinical and CMS requirements.
Lead initiatives on prompt engineering optimization, including prompt tuning, parameter-efficient tuning (LoRA, PEFT), and chain-of-thought prompting.
Mentor junior engineers and set technical direction for model customization and responsible GenAI practices.
Drive experimentation around task-driven AI agents that interact with APIs, databases, and healthcare workflows.
Collaborate with product and clinical teams to ensure solutions meet HIPAA, CMS, and quality standards.
Oversee Agile development activities and maintain project documentation on Confluence.
About the Company
Quant Dynamics Solutions is consulting partner specializing in clinical & operations management, enterprise project management, professional services, and software consulting services. We help our clients increase operational efficiency by delivering innovative solutions to solve their most complex business challenges.