Deployment Strategist

Hippocratic AI

. Own healthcare AI deployments end-to-end, from workflow discovery and solution design through hands-on build/configuration, launch, adoption, and measurable business impact .

Posted 9/23/2026full-timeMenlo Park • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in healthcare AI deployment, including workflow mapping, solution design, and stakeholder collaboration. Proficient in data validation, JSON configuration, and project management across clinical and operational environments.

Highest-signal resume keywords

Healthcare AI DeploymentJSON ConfigurationSQLEpic ExperienceProject Management

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Hard Skills

Workflow MappingData ValidationData AnalysisCommand-Line CodingGit WorkflowsHL7 FluencyFHIR FluencyClinical InformaticsUtilization ManagementValue-Based Care

Soft Skills

Stakeholder Relationship ManagementCollaborationProblem SolvingCommunicationTrust Building

Tools & Technologies

EpicClarityCaboodleCogitoAI Platforms

Certifications & Qualifications

Epic Certification

Industry Keywords

HealthcareClinical OperationsOperational WorkflowsLife SciencesData Models

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own healthcare AI deployments end-to-end, from workflow discovery and solution design through hands-on build/configuration, launch, adoption, and measurable business impact
Own a defined deployment workstream or major customer milestone
Establish stakeholder relationships and identify technical and operational dependencies
Drive a clear path to measurable value in clinical and operational environments
Map customer care and operational workflows
Determine which workflows are ready for an AI agent and present evidence to customer leadership
Translate operational goals into solution designs for engineering and product
Configure and test agent behavior using JSON, the command line, and version control
Validate deployment data inputs and outputs and identify discrepancies
Drive integration, security review, and go-live sequencing
Resolve ambiguity during the build process
Establish baselines and quantify post-launch changes
Build dashboards and analyses to demonstrate impact
Build executive stakeholder trust and identify future workflows
Document lessons learned to accelerate future deployments
Collaborate with engineers, product managers, customer success partners, clinical experts, and customers

Requirements

What you’ll need

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, interrogate unfamiliar schemas, build or direct analyses, and identify incorrect outputs
Hands-on comfort with JSON files, terminals, command-line coding assistants, and git workflows
Track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously
BA/BS in a technical field such as engineering, science, analytics, economics, or similar
SQL
Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification
Clinical background such as RN, BSN, or clinical informatics
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
Ability to work onsite in Menlo Park, CA, 5 days per week for 8 hours a day
Legal authorization to work in the country of the position
Visa sponsorship status must be addressed

Benefits

Comp & perks

Regular travel, typically 25 to 40% depending on deployment schedule
On site implementation support, customer meetings, training, and go live activities
Opportunity to work on a healthcare-only, safety-focused LLM platform
Opportunity to work alongside healthcare and AI experts
Equal opportunity employer
Accommodations during the hiring process available upon request