Deployment Strategist

Hippocratic AI

13d•Remote

About The Position

As a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments. This role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.

Requirements

4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued
Direct experience serving healthcare customers, or working inside a healthcare organization
Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics
Demonstrated ability to reason about data models: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong
Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows
A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously
BA/BS in a technical field (engineering, science, analytics, economics, or similar)

Nice To Haves

SQL
Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification
A clinical background — RN, BSN, clinical informatics, or similar
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 programs
Prior exposure to LLM-based or agentic products in production

Responsibilities

Find the workflow that's actually worth automating
Map how care and operations genuinely run at your customer, as opposed to how the process documentation says they run
Decide which workflows are ready for an AI agent and which are not, and make that case to customer leadership with evidence
Translate operational goals into a concrete solution design that engineering and product can build against
Surface the technical and operational dependencies that will determine whether launch happens on time
Configure and test agent behavior directly, working in JSON, the command line, and version control rather than filing requests
Validate that the data flowing into and out of the deployment is accurate, and find the discrepancies before your customer does
Drive the integration, security review, and go-live sequencing that stands between a signed contract and a working deployment
Resolve the ambiguity that surfaces mid-build without waiting for someone to resolve it for you
Establish the baseline your customer will be judged against, then quantify what changed after go-live
Build the dashboards and analyses that let operational leaders see impact for themselves
Earn enough trust with executive stakeholders that they bring you the next workflow before you ask
Document what you learned well enough that the next deployment of this workflow goes faster