Design, implement, and optimize AI-driven clinical solutions across care management, utilization management, and disease management workflows. Lead design and integration of AI models into EMR/EHR ecosystems. Develop clinical data pipelines leveraging structured and unstructured data.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Immediate Hire!
Clinical AI Architect
Location: 100% Remote
Role Type: Long‑term Contract
Summary
Healthcare client is seeking a Clinical AI Architect to design, implement, and optimize AI‑driven clinical solutions across care management, utilization management, and disease management workflows.
This role blends deep healthcare domain expertise with modern AI/ML capabilities to transform clinical decision support, improve patient outcomes, and streamline operational efficiency.
Key Responsibilities:
- Architect end‑to‑end Clinical AI solutions supporting care management, utilization management, and disease management programs.
- Lead design and integration of AI models into EMR/EHR ecosystems, including Epic and other major platforms.
- Develop clinical data pipelines leveraging structured and unstructured data from EMR/EHR, claims, HEDIS, SDOH, and care management systems.
- Partner with clinicians, nurses, care coordinators, and product teams to translate clinical workflows into scalable AI/automation solutions.
- Build frameworks for predictive analytics, risk stratification, disease progression modeling, and care‑gap identification.
- Ensure AI solutions comply with HIPAA, clinical safety, auditability, and explainability standards.
- Provide architectural guidance on interoperability standards such as FHIR, HL7, CCD, CCDA, and payer–provider data exchange.
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Required Skills & Experience:
- 8–12+ years in healthcare technology with at least 3–5 years in AI/ML architecture or clinical data engineering.
- Strong hands‑on experience with EMR/EHR systems — Epic preferred; Cerner, Allscripts, or similar acceptable.
- Deep understanding of Care Management, Utilization Management, and Disease Management workflows.
- Experience designing AI solutions for clinical decision support, triage, risk scoring, or care‑gap closure.
- Expertise with healthcare datasets: claims, clinical notes, lab results, ADT feeds, SDOH, and care plans.
- Strong knowledge of FHIR/HL7, clinical ontologies (LOINC, SNOMED, ICD‑10), and interoperability frameworks.
- Ability to work with data science teams on model development (NLP, GenAI, predictive modeling).
- Experience with cloud platforms (Azure/AWS/GCP) and modern data architectures.
- Excellent communication skills to interface with clinical, business, and technical stakeholders.
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Preferred Experience
- Prior work with Community Care or Altruista (GuidingCare) platforms.
- Experience with care management systems, member engagement platforms, or population health tools.
- Background in building GenAI‑powered clinical assistants, summarization tools, or NLP pipelines.
Education
- Bachelor’s or master’s in computer science, Health Informatics, Biomedical Engineering, or related field.
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