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Deployment Strategist

Job Overview

Location

Seattle, WA

Job Type

Full-time

Category

Operations

Date Posted

August 18, 2026

Full Job Description

đź“‹ Description

  • • The Deployment Strategist is the technical architect and implementer for each AI deployment, bridging customer needs and technical execution.
  • • Design agent workflows, manage the build process, handle integrations, and ensure deployments deliver measurable clinical value.
  • • Strong technical judgment, customer empathy, and the ability to scope complex problems under uncertainty are required.
  • • 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.
  • • Impact at deployment: Your scoping process accurately translates customer workflows into well-structured agent designs that deliver measurable results.
  • • Efficient builds: You use established tools and patterns to configure agents quickly, spending your time on high-value technical decisions rather than low-level coding.
  • • Smooth integrations: You define integration requirements clearly, work with engineering to execute them, and ensure data flows reliably between our agents and customer systems.
  • • Customer leadership: You're the trusted technical and operational advisor to the customer, explaining trade-offs, managing expectations, and proposing solutions.
  • • Analytics-driven optimization: You monitor agent performance, identify opportunities to improve accuracy or efficiency, and drive continuous refinement.
  • • Knowledge capture: You document patterns, create reusable configurations, and build institutional knowledge that accelerates future deployments.
  • • Effective project management: You are leading use case implementations end to end - tracking to milestones and ensuring successful timely go-lives.
  • • 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.

🎯 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

🏖️ 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.

Skills & Technologies

Onsite

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About Hippocratic AI Inc.

Hippocratic AI develops safety-focused large language models specifically for healthcare. Its non-diagnostic generative AI handles patient-facing tasks such as chronic care check-ins, medication adherence calls, appointment scheduling, and post-discharge follow-up, operating under evidence-based clinical safeguards and regulatory-grade risk management. The company trains models on peer-reviewed literature, clinical guidelines, and simulated patient conversations, then validates them with licensed clinicians. Founded in 2022 and headquartered in Palo Alto, California, Hippocratic AI partners with health systems, payers, and digital health companies to reduce staffing shortages and improve access to care without compromising patient safety or privacy.

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