AI Implementation Specialist
New
Based in United StatesFull-Time
Salary not disclosed
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Job Details
- Required Skills
- JSONPrompt EngineeringEHR
Requirements
- Proven experience designing structured AI workflows, beyond simple free-text prompting.
- Hands-on experience with prompt engineering, AI workflow design, or applied AI systems.
- Ability to work directly with JSON, prompt contracts, retrieval schemas, and structured knowledge formats.
- Familiarity with clinical documentation processes, electronic health records, or healthcare knowledge systems.
- Experience transforming unstructured information into organized, reusable AI knowledge assets.
- Strong understanding of how to create AI outputs that are safe, explainable, and trustworthy in healthcare environments.
- Ability to collaborate effectively with product, engineering, and clinical stakeholders.
- Ability to understand AI limitations and design workflows that improve reliability and consistency.
- Coding experience is a plus, particularly for prototype development and technical experimentation.
Responsibilities
- Design, document, and continuously improve AI Note Templates that support clinical users throughout the patient journey.
- Build structured AI workflows using GPT-based technologies, including prompt chains, output contracts, and intermediate reasoning structures.
- Create and maintain retrieval-ready knowledge assets using structured formats such as JSON, ontologies, tagging systems, and retrieval schemas.
- Convert trusted clinical resources, protocols, articles, and educational materials into governed AI knowledge structures.
- Develop AI note-generation architectures incorporating templates, provider preferences, clinical rules, retrieval boundaries, patient-specific context, and human review processes.
- Partner with product, engineering, and clinical teams to define AI strategy and improve intelligent clinical features.
- Design safety frameworks and guardrails that improve AI consistency, explainability, and provider confidence.
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