Senior AI, Data Engineer

Must have: Healthcare industry experience, particularly with provider organizations and clinical data platforms (e.g., Epic).

Qualifications: Bachelor's in Comp. Science, Engineering, Mathematics, or a related field. Master’s preferred.6+ years of experience designing, building, and supporting AI/ML platforms and solutions. Design and lead end-to-end AI/ML architectures for scalable, secure, and highly available healthcare AI platforms and applications. Define reference architectures for predictive ML, Generative AI, LLM, and Agentic AI solutions across clinical and enterprise use cases. Establish architectural patterns for MLOps and LLMOps, including CI/CD, automated model deployment, model/version management, evaluation, observability, monitoring, and rollback. Design and implement RAG and agentic AI architectures, including vector search, embeddings, prompt management, tool/function calling, agent orchestration, guardrails, and LLM evaluation. Strong experience developing and deploying machine learning models, including NLP and deep learning solutions. Proficiency in Python and modern machine learning frameworks. Strong experience with Snowflake and cloud-based AI services.