Staff AI Engineer, GenAI

For our client, we are seeking a Staff AI Engineer, GenAI to join the team of a leader in the Hospitals & Medical Centers space. This role will help shape and operationalize generative AI capabilities that improve how healthcare services are delivered and supported. You will lead the design of production-grade AI systems, working closely with engineering and cross-functional partners to bring reliable, scalable solutions into a regulated environment. The position is highly focused on LLM applications, data workflows, and the operational rigor needed to move AI from experimentation into production. Success in this role will mean building trustworthy AI services that perform well, support compliance needs, and integrate smoothly into healthcare products and operations. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $200,000 – $230,000 annually Responsibilities Operationalize generative AI and LLM applications using advanced methodologies Lead the design and deployment of production-grade ML pipelines Architect scalable data workflows on platforms like Snowflake and Databricks Build and maintain API-based AI services for robust model access Define and implement CI/CD pipelines for ML services Enforce MLOps best practices including model tracking and governance Mentor engineers on scalable design and production-readiness Integrate AI services into products while ensuring compliance in healthcare contexts Troubleshoot production AI systems to optimize performance and reliability Document architecture patterns and operational standards for AI development Qualifications Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field; equivalent experience accepted 8+ years of experience in AI/ML engineering with a focus on production LLM and GenAI systems Expertise in deploying LLM and GenAI solutions with frameworks like RAG and LangChain Experience with Snowflake and Databricks for data processing and AI/ML workloads Strong background in MLOps/LLMOps, including CI/CD automation and model governance Proficiency in Python and SQL, with exposure to big-data processing using tools like Spark Ability to collaborate in cross-functional teams in regulated industries Benefits Flexible vacation policy for personal time 80 hours of paid sick, safe, and caregiver leave annually Comprehensive health benefits offered to full-time employees Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.