The role involves leading the design and delivery of enterprise-scale Generative AI solutions to support healthcare experiences. The individual will define technical strategy and establish architectural standards while guiding multiple teams in building secure and scalable AI platforms. Responsibilities include architecting Retrieval-Augmented Generation solutions and integrating proprietary data sources. The position requires defining reference architectures and implementing safety guardrails to ensure responsible AI practices. Additionally, the role involves building evaluation frameworks for observability and mentoring engineering staff to elevate design standards.

The role requires 10 years of progressive IT experience, including 7 years in microservices architecture and stakeholder management. Candidates must possess 5 years of experience in large-scale application development, public cloud initiatives, and DevOps automation. Additionally, 3 years of software development experience specifically focused on Generative AI and Large Language Models is necessary. While specific certifications like AWS Solutions Architect or Google Cloud ML Engineer are listed as preferred, they are not explicitly stated as mandatory requirements.