Agent Deployment Architect (AI)

TL;DR

Agent Deployment Architect (AI/Healthcare): Leading the deployment and customization of safety-focused LLMs within healthcare environments with an accent on EHR integration and client technical leadership. Focus on prototyping integrations, configuring systems for providers and payors, and ensuring the safe implementation of autonomous clinical conversations.

Location: Onsite in Cincinnati, OH (5 days per week at client site)

Company

Leading generative AI company in healthcare building the world's first safety-focused LLM platform for clinical conversations.

What you will do

• Serve as the technical lead for client engagements, guiding end-to-end solution deployment and customization.
• Act as the primary bridge between engineering teams 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 with product and clinical teams to provide field insights for the product roadmap.

Requirements

• 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).
• Strong knowledge of healthcare data and interoperability standards (FHIR, HL7v2).
• Experience working within health systems, payors, or digital health environments.
• Ability to satisfy client credentialing, including drug screening and proof of required vaccinations.

Nice to have

• Strong Python skills for debugging and writing scripts.
• Familiarity with cloud platforms, APIs, and secure data practices.
• Startup experience and comfort with ambiguity and high velocity.

Culture & Benefits

• Opportunity to work on category-creating technology that transforms patient outcomes globally.
• Collaborate with a world-class team of AI pioneers, physicians, and researchers from institutions like Google, Stanford, and NVIDIA.
• Backed by leading AI and healthcare investors with significant funding for growth.