Deployment Strategist - Healthcare

Deployment Strategist (DS)
The Deployment Strategist 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.

Impact at deployment: Your scoping process accurately translates customer workflows into well-structured agent designs that deliver measurable results

You use established tools and patterns to configure agents quickly, spending your time on high-value technical decisions rather than low-level coding

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

You monitor agent performance, identify opportunities to improve accuracy or efficiency, and drive continuous refinement

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

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

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

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

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. This is category creation, and you're the technical strategist making it work.

AI pioneers from Google, Meta, Microsoft, NVIDIA alongside physicians and hospital leaders from Johns Hopkins, Washington University, Stanford. The insights you gain from customers and partners will accelerate your growth exponentially. 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. You're building for scale and longevity.

Unlike many technical roles where success is indirect, your designs directly improve patient outcomes, increase clinician efficiency, and transform how healthcare operates. You'll see the clinical value of your technical decisions and know that your work matters in a way few engineering roles do.

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