AI Implementation Specialist

AI Implementation Specialist

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Jobgether

At a Glance

  • Tasks: Design and optimise AI-powered clinical documentation workflows to enhance healthcare technology.
  • Company: Join a forward-thinking partner company revolutionising healthcare with AI solutions.
  • Benefits: Enjoy competitive salary, fully remote work, and opportunities for professional growth.
  • Other info: Collaborative team environment with exposure to cutting-edge AI technologies.
  • Why this job: Make a real impact on healthcare by transforming clinical knowledge into reliable AI systems.
  • Qualifications: Experience in AI systems, structured data, and healthcare workflows is essential.

The predicted salary is between 60000 - 80000 Β£ per year.

This position is listed on behalf of a partner company, who manages all applications and next steps.

Our partner is looking for an AI Implementation Specialist based in United Kingdom.

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

As an AI Implementation Specialist, you will design, structure, and optimize AI-powered clinical documentation workflows.

You will transform healthcare knowledge into reliable AI assets, collaborate with cross-functional teams, and help establish the foundations for safe and scalable AI-driven solutions.

  • 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

The ideal candidate combines knowledge of AI systems, structured data, and healthcare workflows.

You should have experience building reliable AI solutions and the ability to translate complex information into practical, governed workflows.

  • 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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AI Implementation Specialist employer: Jobgether

At Jobgether, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our remote working environment allows for flexibility while providing ample opportunities for professional growth and development in the tech industry. Join us to make a meaningful impact in enhancing open-source technology adoption, all while enjoying the benefits of a supportive team and a commitment to your career advancement.

Jobgether

Contact Details:

Jobgether Recruitment Team

We think you need these skills to ace AI Implementation Specialist

AI Systems Knowledge
Structured Data Management
Healthcare Workflows
AI Workflow Design
Prompt Engineering
JSON Proficiency
Clinical Documentation Processes