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Solutions Architect, Inbound AI Deployments

Hippocratic AI· R&D
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RemoteFull-timePosted 2mo ago

About the role

Role focusing on defining scalable inbound AI deployment methodologies, playbooks, and configuration frameworks for healthcare deployments. Responsible for interfacing with health system customers, product engineering, and internal enablement to create repeatable, differentiated inbound AI deployments.

Responsibilities

  • Inbound AI Methodology & Framework Design: Define the core methodology for inbound AI configuration, decision tree architecture, IVR logic, and provider directory setup. This becomes the standard the entire organization follows. Design repeatable patterns for call center workflows, patient access scenarios, and escalation logic that apply across different health systems and health plans. Document your methodology in clear, usable frameworks that deployment teams can execute without continuous guidance from you. Continuously refine the methodology based on learnings from new deployments and customer feedback.
  • Customer Implementation & Requirements Translation: Partner directly with 5-7 health system and health plan customers on inbound AI deployments. Spend significant time in configuration sessions, validation work, and go-live support. Translate patient access, call center, and inbound workflows into crisp product requirements and configuration standards that scale beyond individual deployments. Identify where your methodology breaks or needs refinement. Feed learnings back into the framework. Validate that configurations perform correctly against real patient call patterns and business metrics.
  • Product & Engineering Partnership: Work closely with the Front Door product and engineering teams to ensure the methodology you define is technically sound and buildable at scale. Identify product gaps, configuration constraints, and feature requests based on deployment learnings. Prioritize ruthlessly—what unlocks the most scaling? Influence product roadmap priorities based on deployment reality (not just customer requests). Collaborate on product design for inbound features; ensure they're built with deployment scalability in mind.
  • Deployment Team Enablement: Codify your methodology into frameworks, playbooks, decision tree templates, and training materials that deployment strategists and FDEs will rely on. Train deployment team members on your methodology, frameworks, and best practices. Create documentation that answers "how do I configure X?" so deployment teams can execute independently. Build a knowledge base and community of practice around inbound deployments.
  • Strategic Vision & Competitive Positioning: Define what makes Hippocratic AI's inbound approach differentiated vs. competitors (Hyro, Orbita, Nuance, Notable, Fabric). Articulate the strategic positioning of our inbound solutions to customers and internally. Identify white space and expansion opportunities in the inbound market (new use cases, new customer types).

Qualifications

  • BA/BS degree required.
  • Domain expertise in patient access, call center operations, or inbound workflows.
  • 8+ years in inbound/patient access technology or healthcare operations.
  • Deep hands-on experience with inbound AI or contact center automation.
  • Proven track record building repeatable systems.
  • Full-lifecycle ownership mindset.
  • Product thinking with operational execution.
  • Communication and persuasion skills.

Skills

Required:Product & engineering partnership

Benefits

  • Not specified in the description.
Last updated Aug 26, 2026. Interested? Apply on the company site.

About Hippocratic AI

Safest Healthcare Generative AI Agents

Safest Healthcare Generative AI Agents Our AI agents do not diagnose or prescribe. Learn more. Listen to these 4 real de-identified calls from the over 115 million clinical interactions.

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