AI Implementation Specialist
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Key skills for this role
About the Role
We are looking for an AI Implementation Specialist to design and optimize AI-powered clinical documentation workflows. You will work at the intersection of AI, healthcare, and product innovation, building structured AI systems that support clinical decision-making.
Key Skills for This Role
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
- Help transform AI generated outputs into polished clinical artifacts rather than unstructured responses
- Support prototype development and contribute technical implementation when applicable
- Design safety frameworks and guardrails that improve AI consistency, explainability, and provider confidence
- Contribute to clinical intelligence solutions such as pre visit summaries, encounter documentation, lab analysis, treatment insights, and follow up workflows
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
- Strong analytical skills with attention to detail and a focus on quality
- Ability to understand AI limitations and design workflows that improve reliability and consistency
Full Job Posting
Position Overview
- This role offers the opportunity to help shape the future of healthcare technology by designing reliable, structured AI systems that support clinical decision making.
- You will work at the intersection of artificial intelligence, healthcare workflows, and product innovation to transform clinical knowledge into practical AI solutions.
- Your expertise will help create trusted AI generated documentation experiences that improve provider efficiency and patient care.
- Working closely with clinical, product, and engineering teams, you will build governed workflows that move beyond simple prompting into scalable AI architecture.
- This position is ideal for someone passionate about applied AI, structured knowledge systems, and creating technology that healthcare professionals can confidently rely on.
- You will play a key role in defining how intelligent automation can enhance clinical operations while maintaining safety, consistency, and trust.
Accountabilities
- 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.
- Help transform AI generated outputs into polished clinical artifacts rather than unstructured responses.
- Support prototype development and contribute technical implementation when applicable.
- Design safety frameworks and guardrails that improve AI consistency, explainability, and provider confidence.
- Contribute to clinical intelligence solutions such as pre visit summaries, encounter documentation, lab analysis, treatment insights, and follow up workflows.
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.
- Strong analytical skills with attention to detail and a focus on quality.
- 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.
Benefits
- Competitive salary based on experience and qualifications.
- Fully remote work opportunity.
- Opportunity to contribute to innovative healthcare AI solutions with meaningful real world impact.
- Professional development and career growth opportunities.
- Collaborative and supportive team environment.
- Opportunity to help improve healthcare workflows and provider experiences globally.
- Exposure to emerging AI technologies and advanced clinical automation systems.
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