Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.
Why Join Our Team
Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.
Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.
We are hiring a Voice Agent Design Lead on a 2–3 month contract to build and ship approximately 50 production-ready voice AI agents from an existing inventory of prioritized use cases. These agents span core health plan workflows—Gap Closures, Welcome Calls, Transitions of Care—as well as payor-adjacent verticals including PBM (pharmacy benefit management), retail pharmacy, and other specialized lines of business that intersect with the payor ecosystem.
You will sit at the intersection of clinical operations, payor strategy, and conversational AI. Your job is to translate complex health plan and verticalized business workflows into safe, effective, highly conversational agent scripts—and to do it fast, using AI tools to accelerate your work. Your output becomes the foundation of a scalable, reusable agent catalog that replaces our current custom-implementation model and extends our reach across the broader payor value chain.
~50 production-ready voice AI agents built from our existing agent inventory, covering:
Core payor use cases: Gap Closures, Welcome Calls, Transitions of Care, Annual Wellness Visits, Care Management Outreach, and similar member engagement workflows.
PBM & retail pharmacy use cases: Medication adherence outreach, prescription refill reminders, formulary change notifications, prior authorization follow-ups, MTM (medication therapy management) scheduling, and pharmacy benefit education.
Other verticalized payor-adjacent workflows: As identified in the agent inventory, including dental, vision, behavioral health, and supplemental benefit outreach where applicable.
Each agent must be clinically safe, compliant, and ready for deployment without requiring additional design work per client.
Map complex health plan constraints (NCQA, HEDIS, Risk Adjustment) and verticalized business workflows (PBM formulary rules, pharmacy dispensing logic, specialty drug protocols) into logical, safe, conversational AI agent scripts.
Work from our existing agent inventory to prioritize and sequence the build based on business impact and reuse potential across clients.
Define the clinical guardrails, edge cases, and escalation paths for each agent—accounting for the distinct regulatory and operational nuances across payor, PBM, and retail pharmacy contexts.
Write and refine dialogue flows, including intent recognition, empathetic response patterns, and multi-turn conversation logic.
Leverage LLMs (e.g., Claude) as an accelerant—using AI to draft and iterate on agent scripts while applying your domain expertise to QA and tune the output.
Work closely with Engineering on prompt design, tool calling, and integration with standard healthcare data formats.
Rigorously test each agent through internal QA before handoff—running simulated conversations, stress-testing edge cases, and validating clinical safety and compliance across scenarios.
Define success criteria and acceptance standards for each agent (e.g., conversation completion rates, correct escalation behavior, clinical accuracy) so the internal team can measure post-deployment performance.
Iterate and refine agents based on internal testing feedback, peer review, and engineering integration testing prior to production deployment.
Document agent logic, guardrails, and known limitations so the internal team has what they need to monitor, maintain, and improve agents after the contract ends.
Inform the prioritization of our agent catalog by identifying which use cases have the highest reuse potential across payors, PBMs, and retail pharmacy clients.
Must-Have:
Payor & Healthcare Workflow Expertise (Non-Negotiable): 3+ years working within health insurance, payor, PBM, or value-based care environments. Deep understanding of member journeys, HEDIS measures, utilization management, pharmacy benefit structures, and clinical operations. Must be able to walk into a conversation about Gap Closures, formulary management, or care transitions and immediately understand the workflow, the stakeholders, and what drives outcomes. This is the skill that cannot be taught in weeks—everything else can be.
Conversation Design / Content Building: Experience designing multi-turn conversational experiences or structured clinical/member-facing content. Comfort with dialogue flow design, edge case mapping, and writing for a patient audience. Prior experience with IVR, chatbot, or LLM-based agents is a plus but not required—we can teach the AI tooling.
Production Speed: Demonstrated ability to ship at high volume in ambiguous, fast-moving environments. This is a build role, not a strategy role. You will be measured on agents delivered, not decks produced.
Clear Communication: Ability to translate clinical requirements into technical specs for engineers and explain AI trade-offs to clinical/business stakeholders.
Nice-to-Have:
Experience with LLM-based agent frameworks, prompt engineering, and tool calling patterns.
Background in product management within digital health, PBM, or payor-adjacent companies.
Direct experience with PBM operations, retail pharmacy workflows, or specialty pharmacy programs.
Familiarity with healthcare data standards (HL7, FHIR) and EHR/claims integrations.
Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.