Agent Deployment Architect (Duarte, CA)

About Us

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.

About the Role

We are seeking a Agent Deployment Architect 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.

What You'll Do

• 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.

• This is an onsite role based in Duarte, CA, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Palo Alto, CA) for strategic planning and team sessions.

What You Bring

Must Have:

• 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.

• Ability to satisfy client-specific credentialing requirements, including drug screening and proof of required vaccinations or immunizations, as mandated by the healthcare facilities where you will be deployed.

Nice to Have:

• 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.

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.