Deployment Strategist

Hippocratic AI

About The Position

The Deployment Strategist (DS) is the technical architect and implementer for each AI deployment, bridging customer needs and technical execution. You'll design agent workflows, manage the build process, handle integrations, and ensure deployments deliver measurable clinical value. This role demands strong technical judgment, customer empathy, and the ability to scope complex problems under uncertainty. You're not writing code—you're orchestrating integrations, configuring AI agents, and running the deployment from initial scoping through optimization.

Requirements

  • 5+ years of technical experience (software engineering, cloud architecture, systems design, or technical consulting)
  • Strong analytical and problem-solving skills—ability to translate ambiguous customer needs into clear technical requirements
  • Customer empathy and communication: you can explain technical concepts to non-technical audiences and listen deeply to understand underlying customer needs
  • Project management capability: you scope work, estimate timelines, manage dependencies, and communicate status proactively

Nice To Haves

  • Healthcare domain expertise (clinical workflows, EHR systems, healthcare data standards like FHIR)
  • Experience with AI/ML orchestration, prompt engineering, or LLM-powered applications
  • Healthcare IT experience (EHR integrations, healthcare data pipelines, clinical informatics)
  • Experience building tools for complex, regulated environments

Responsibilities

  • Initial Scoping & Requirement Analysis – partner with the customer to understand workflows, define agent scope, and identify integration touchpoints
  • Agent Build & Configuration – design agent workflows, select tools, configure prompts and behaviors, and validate functionality
  • Technical Account Management – act as the lead during deployment, managing scope decisions and explaining technical constraints to customers
  • Project Management – develop build timelines, coordinate with engineering, track progress, and escalate blockers early
  • Integration Architecture – define data requirements, design integration workflows, and partner with engineering to implement them
  • Post-Launch Analytics & Optimization – monitor agent performance, analyze usage patterns, and drive continuous improvements

Benefits

  • You're architecting deployments of the world's first healthcare-only, safety-focused LLM—a breakthrough platform designed to transform patient outcomes at global scale.
  • You work with an exceptional caliber of technical and clinical talent: AI pioneers from Google, Meta, Microsoft, NVIDIA alongside physicians and hospital leaders from Johns Hopkins, Washington University, Stanford.
  • Backed by $404M in funding from the world's leading healthcare and AI investors—CapitalG, a16z, General Catalyst, Kleiner Perkins, and strategic investors like UHS, Cincinnati Children's, and WellSpan Health.
  • Every agent you architect has measurable clinical impact. Unlike many technical roles where success is indirect, your designs directly improve patient outcomes, increase clinician efficiency, and transform how healthcare operates.
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