AI Clinical Documentation Engineer

AST Solutions; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

AST Solutions is seeking to advance AI-assisted clinical documentation tooling in the United States. The role focuses on ambient capture, clinical language processing, and specialty-aware note generation, with secure write-back to patient records via FHIR interfaces.

The candidate will design and implement clinician-review workflows to ensure notes are reviewed and signed before finalization, maintaining accuracy and compliance.

Qualifications

• Experience building AI or language-processing systems for clinical documentation.
• Knowledge of ambient capture and clinical natural language processing.
• Ability to develop note-generation workflows that account for clinical specialties.
• Familiarity with FHIR-based integration and writing data back to clinical records.
• Understanding of clinician review and sign-off in documentation workflows.

Responsibilities

• Develop ambient capture capabilities for clinical documentation workflows.
• Apply clinical natural language processing to captured information.
• Generate notes adapted to different clinical specialties.
• Implement write-back of documentation through FHIR interfaces.
• Design workflows that let clinicians review and approve notes before signing.

Skills

AI for clinical docs

Ambient capture

Healthcare NLP

FHIR integration

Job description

Role overview

Build AI-assisted clinical documentation tools that reduce the time clinicians spend charting. The work combines ambient capture and clinical language processing with specialty-aware note generation and FHIR-based record updates, while keeping clinicians responsible for reviewing and signing documentation.

Responsibilities

• Develop ambient capture capabilities for clinical documentation workflows.


• Apply clinical natural language processing to captured information.


• Generate notes adapted to different clinical specialties.


• Implement write-back of documentation through FHIR interfaces.


• Design workflows that let clinicians review and approve notes before signing.

Requirements

• Experience building AI or language-processing systems for clinical documentation.


• Knowledge of ambient capture and clinical natural language processing.


• Ability to develop note-generation workflows that account for clinical specialties.


• Familiarity with FHIR-based integration and writing data back to clinical records.


• Understanding of clinician review and sign-off in documentation workflows.