Drimva

Hippocratic AI

Deployment Strategist

United States · Remote · Full-time · Posted Sep 23, 2026

Experience
4+ years of relevant experience; the posting says experience may have been accrued in different ways.
Education
BA/BS in a technical field (engineering, science, analytics, economics, or similar).

About the job

Own end-to-end healthcare AI deployments, from workflow discovery and solution design through agent configuration, launch, adoption, and performance improvement.

What you'll do

  • Discover customer needs, design and build healthcare conversation agents, and map data flows with engineering.
  • Lead implementations, including stakeholder alignment, workflow configuration, timelines, documentation, blocker management, and adoption.
  • Track deployment performance, develop repeatable playbooks, and use deployment insights to improve products and processes.

What they ask for

  • 4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management.
  • Direct experience serving healthcare customers or working inside a healthcare organization, with working knowledge of provider-side, payor-side, or life sciences workflows.
  • Ability to reason about unfamiliar data models and hands-on comfort with JSON files, terminals, command-line coding assistants, and git workflows.
  • Track record managing complex customer engagements across operational, clinical, IT, and executive stakeholders; BA/BS in a technical field (engineering, science, analytics, economics, or similar).

Nice to have

  • SQL; Epic experience or certification; clinical background; forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company.
  • HL7 or FHIR fluency; experience with utilization management, prior authorization, care management, revenue cycle, or value-based care; exposure to LLM-based or agentic products in production.

Tools

JSON, terminals, command-line coding assistants, git, SQL, Epic, Clarity, Caboodle

AI focus

Design and build agents for complex, high-stakes healthcare conversations; configure deployments and workflows, and help specify new AI features. The company describes its platform as a healthcare-only, safety-focused LLM.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)