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Hippocratic AI

Licenses safety-focused healthcare LLMs to institutions

Agent Deployment Architect

Implementation & Technical Account ManagementUpdated on Nov 12
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Five years of experience in deployment, implementation, solutions architecture, technical consulting, or a related customer-facing role working with enterprise or healthcare customers.
  • Strong understanding of provider-side healthcare workflows, operations, and systems, gained through direct health-system experience or implementing solutions in provider environments.
  • Ability to manage complex customer engagements with multiple stakeholders across clinical, operational, IT, and executive levels, navigate competing priorities, and build alignment.
  • Ability to translate complex technical concepts for non-technical stakeholders and vice versa.
  • Strong problem-solving skills and comfort working in ambiguous, fast-moving environments where requirements evolve and challenges are novel.
  • Track record of driving execution and delivering results across cross-functional teams, demonstrating ownership, accountability, and the ability to move projects forward despite obstacles.
  • Required BA/BS degree.

Responsibilities

  • Lead end-to-end deployment planning and execution for provider customers, owning timelines, scope, and risk management and ensuring successful go-live across diverse health-system environments.
  • Partner with customer stakeholders to understand operational workflows, clinical requirements, organizational constraints, and strategic goals, translating them into actionable deployment designs.
  • Translate implementation requirements into scalable solution designs that work across provider types, EHR systems, and care delivery models while balancing customization with standardization.
  • Coordinate across deployment, product, engineering, and go-to-market teams to ensure alignment, unblock issues, and keep deployments on track.
  • Proactively identify and resolve deployment risks, flag potential blockers early, collaborate on solutions, and maintain momentum through complex healthcare operational challenges.
  • Design and standardize deployment best practices, playbooks, and operating models based on implementation learnings so future deployments are faster, more reliable, and scalable.
  • Advise customers during rollout and adoption, help them navigate change management, train clinical and operational teams, and support achievement of their desired outcomes.
  • Travel regularly, typically 25–40% depending on the deployment schedule, to customer sites for on-site implementation work, training, and go-live support.

Desired Qualifications

  • Direct experience working with hospitals, health systems, provider groups, or adjacent provider organizations in deployment, implementation, or consulting.
  • Deep familiarity with healthcare operational workflows and implementation challenges, including EHR integration, clinical workflow mapping, change management, and regulatory requirements.
  • Experience designing and scaling repeatable deployment processes across multiple customer environments and building playbooks and frameworks for different provider types.
  • Experience balancing strategic planning with hands-on execution, including high-level architecture and detailed implementation work.
  • Familiarity with healthcare compliance and operational requirements, including HIPAA, state regulations, quality reporting, and clinical governance.
  • Experience with AI, digital health, or clinical decision support tools deployed in healthcare settings.

About the Company

Hippocratic AI

Licenses safety-focused healthcare LLMs to institutions

Hippocratic AI builds specialized language models for healthcare that hospitals and clinics license to support non-clinical tasks and improve patient care and operations. The models are trained on evidence-based medical content and refined with a Reinforcement Learning with Human Feedback process from healthcare professionals to ensure safety and reliability. It differentiates itself by prioritizing safety, equity, and bedside-appropriate interactions, with validation on healthcare exams to ensure real-world applicability. Its goal is to improve healthcare access, equity, and outcomes by providing safe, trustworthy AI tools for clinicians and patients.

Company size
201-500
Company stage
Series C
Total funding
$387M
Headquarters
Palo Alto, CA
Founded
2022

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