As Agent Deployment Architect at Hippocratic AI, you will lead high-impact deployments that translate AI into operational reality for health systems. Embedded with customers, you will design, implement, and scale solutions that deliver measurable clinical and operational value, partnering with stakeholders to navigate provider environments and turn requirements into successful deployments. The role requires understanding both technical architecture and healthcare workflows, serving as a trusted customer advisor while driving execution across functions. You will lead deployment planning and execution from design through go-live, managing timelines, scope, and risks across varied health system environments. You will translate customer workflows, clinical requirements, organizational constraints, and goals into actionable and scalable solution designs. The role involves coordinating deployment, product, engineering, and go-to-market teams; resolving risks and blockers; supporting customer change management, training, rollout, and adoption; and codifying implementation learnings into playbooks and operating models. Within your first 90 days, the expected outcome is to complete a health system deployment through successful go-live, build relationships with key customer stakeholders, document playbooks and best practices, and identify improvements for future implementations. Within 12 months, you are expected to have led multiple deployments across health systems and use cases, standardized deployment practices, become a trusted source of deployment guidance, and demonstrated measurable clinical and operational impact. You will work with Deployment Strategists, engineers, product managers, and clinical experts, combining autonomy in the field with access to cross-functional subject matter experts. This United States-based role is open to candidates across multiple markets. Placement, regional alignment, and travel expectations depend on location, customer proximity, and deployment needs. Regular travel to customer sites is expected, typically 25–40%, for implementation, training, and go-live support.
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Job Type
Full-time
Career Level
Mid Level