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Hippocratic AI

Solutions Architect – Inbound AI Deployments

Hippocratic AI

Solutions Architect defining repeatable inbound AI deployment methodologies for Hippocratic AI’s healthcare platform. Translating patient access workflows into scalable configurations, product requirements, and deployment playbooks.

Posted 8/4/2026full-timeMenlo Park • California • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in inbound AI configuration, call center operations, and patient access workflows, with a strong focus on designing scalable solutions and frameworks. Proven ability to collaborate with cross-functional teams and articulate product requirements effectively.

Highest-signal resume keywords
Inbound AI ConfigurationIVR System ConfigurationCall Center AutomationPatient Access TechnologyFramework Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Decision Tree ArchitectureData LabelingConfiguration TestingPerformance ValidationProduct Requirements Translation
Soft Skills
Complex Workflow ExplanationTeam CollaborationTraining and Mentoring
Tools & Technologies
HyroOrbitaNuanceSyllableNotableFabric
Industry Keywords
Healthcare OperationsHealth PlanHealth SystemInbound WorkflowsFHIRHL7EHR Integration

About the role

Key responsibilities & impact
  • Define the core methodology for inbound AI configuration, decision tree architecture, IVR logic, and provider directory setup
  • Design repeatable patterns for call center workflows, patient access scenarios, and escalation logic across health systems and health plans
  • Document and continuously refine inbound AI frameworks based on deployment learnings and customer feedback
  • Partner directly with 5–7 health system and health plan customers on configuration, validation, and go-live support
  • Translate patient access, call center, and inbound workflows into scalable product requirements and configuration standards
  • Validate configurations against real patient call patterns and business metrics
  • Collaborate with Front Door product and engineering teams on product gaps, feature requests, configuration constraints, and scalable inbound features
  • Create playbooks, decision tree templates, training materials, documentation, and a knowledge base for deployment strategists and FDEs
  • Train deployment team members so they can execute inbound deployments independently
  • Define and articulate Hippocratic AI’s competitive differentiation and identify inbound market opportunities

Requirements

What you’ll need
  • BA/BS degree required
  • Domain expertise in patient access, call center operations, or inbound workflows
  • 8+ years of experience in inbound/patient access technology or healthcare operations
  • Deep hands-on experience with inbound AI or contact center automation
  • Experience configuring IVR systems, designing decision trees, or deploying call center AI solutions
  • Experience labeling data, testing configurations, and validating performance
  • Proven track record building repeatable systems, frameworks, playbooks, or methodologies
  • Full-lifecycle ownership from customer discovery through configuration, testing, go-live, and iteration
  • Product thinking combined with operational execution, including configuring systems, testing edge cases, and debugging issues
  • Ability to explain complex inbound workflows to non-technical customers
  • Ability to articulate product requirements to engineers and align teams around a methodology
  • Nice to have: experience with inbound digital front door platforms such as Hyro, Orbita, Nuance, Syllable, Notable, or Fabric
  • Nice to have: healthcare operations, health plan, health system, or patient access background
  • Nice to have: configuration tools or internal framework experience; familiarity with FHIR, HL7, and EHR integration points
  • Nice to have: healthcare AI/SaaS or forward-deployed organization experience
  • Nice to have: mentoring and enabling operators to execute established frameworks

Benefits

Comp & perks
  • 99.9%+ accuracy platform built for safe, autonomous clinical conversations
  • Backing from a recent $126M Series C at a $3.5B valuation
  • Opportunity to work with world-class healthcare, product, engineering, and AI research teams
  • Opportunity to define a new category and industry-standard inbound AI methodology
  • Opportunity to partner with experienced deployment strategists, forward-deployed engineers, product leaders, and AI researchers