Clinical AI Architect

Immediate Hire!Clinical AI ArchitectLocation: 100% RemoteRole Type: Long‑term ContractSummaryHealthcare 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. 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. Preferred ExperiencePrior 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. EducationBachelor’s or master’s in computer science, Health Informatics, Biomedical Engineering, or related field.APPLY NOW!