Job Description

About the Role:

We are seeking a Forward Deployed Engineer who thrives at the intersection of engineering, client interaction, and real-world healthcare implementation. In this role, you will act as a technical and strategic partner to our clients across the payor, provider, and digital health sectors—helping to deploy our LLM safely, effectively, and efficiently in high-impact environments. You’ll collaborate closely with engineering, AI, clinical, and business teams to customize and deploy solutions that make a meaningful difference in healthcare delivery.

Key Responsibilities:

• Serve as a technical lead on client engagements, guiding end-to-end solution deployment and customization.

• Act as the bridge between our engineering team and client stakeholders to ensure smooth implementations.

• Rapidly prototype integrations, build internal tooling, and configure systems to meet client needs.

• Own the technical deployment lifecycle including onboarding, configuration, validation, and troubleshooting.

• Partner cross-functionally with product and clinical teams to surface insights and inform the product roadmap.

• Travel to customer sites as needed to ensure hands-on success and strong relationships.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• 5+ years of experience in technical roles involving customer-facing deployments or implementation engineering.

• Deep experience integrating with healthcare systems such as EHRs (Epic, Cerner, Athena), CRMs, or population health platforms.

• Strong knowledge of healthcare data and interoperability standards (FHIR, HL7v2, etc.).

• Experience working in complex technical environments within health systems, payors, or digital health.

• Excellent communication skills and ability to translate complex technical requirements across diverse stakeholders.

Preferred Qualifications:

• Strong Python skills and comfort with debugging and writing scripts as needed.

• Familiarity with cloud platforms, APIs, and secure data practices.

• Startup experience and a comfort with ambiguity, velocity, and building from scratch.

About Us:

Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.

Why Join Our Team:

Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.

Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.

Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.

World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.

For more information, visit .

We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.

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