Jr. Clinical AI Architect ::: 100% Remote
Jobs via Dice · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Design and implement AI clinical solutions.
- Transform healthcare with AI/ML.
- Work with EMR/EHR and clinical data.
- Ensure HIPAA and safety compliance.
- Collaborate with clinical and technical teams.
About the role
Jr. Clinical AI Architect
Dice is the leading career destination for tech experts at every stage of their careers. Our client, REDLEO SOFTWARE INC., is seeking the following. Apply via Dice today!
Summary
Healthcare client is seeking a Clinical AI Consultant 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.
- 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.
- Collaborate with engineering teams to deploy AI models into production using cloud‑native architectures.
- Drive continuous improvement of clinical AI models through monitoring, feedback loops, and performance optimization.
- Provide architectural guidance on interoperability standards such as FHIR, HL7, CCD, CCDA, and payer–provider data exchange.
Required Skills & Experience:
- 2+ years in AI/ML and 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/Google Cloud Platform) and modern data architectures.
- Excellent communication skills to interface with clinical, business, and technical stakeholders.
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.
- Clinical certifications (RN, NP, PA) are a plus but not required.
Key skills/competency
- Clinical AI Architect
- AI/ML
- Healthcare Data Engineering
- EMR/EHR Systems
- Clinical Workflows
- Predictive Analytics
- HIPAA Compliance
- FHIR/HL7
- Cloud Platforms
- Communication Skills
Skills & topics
- Clinical AI Architect
- AI
- Machine Learning
- Healthcare
- Data Engineering
- EMR
- EHR
- HIPAA
- FHIR
- Cloud Computing
- Remote
How to get hired
- Tailor your resume: Highlight AI/ML, clinical data engineering, and EMR/EHR experience, specifically mentioning Epic if applicable.
- Showcase healthcare expertise: Emphasize understanding of care management, utilization, and disease management workflows.
- Demonstrate technical skills: Detail experience with AI solutions for clinical decision support, FHIR/HL7, and cloud platforms.
- Prepare for technical and behavioral questions: Be ready to discuss architectural design, data challenges, and stakeholder collaboration.
- Apply proactively: Submit your application via Dice to ensure visibility for this remote Clinical AI Architect role.
Technical preparation
Master EMR/EHR system data structures.,Practice FHIR/HL7 interoperability implementation.,Build predictive models with clinical data.,Design secure, compliant AI architectures.
Behavioral questions
Explain a complex clinical AI challenge.,Describe collaborating with clinicians.,How do you ensure AI compliance?,Discuss a time you improved an AI model.
Frequently asked questions
- What are the core responsibilities of a Clinical AI Architect at REDLEO SOFTWARE INC.?
- The Clinical AI Architect will design, implement, and optimize AI-driven clinical solutions for care, utilization, and disease management. This involves architecting AI frameworks, collaborating with clinical and technical teams, ensuring compliance with standards like HIPAA, and guiding interoperability with systems like FHIR/HL7.
- What specific EMR/EHR systems experience is preferred for the Clinical AI Architect role?
- Strong hands-on experience with EMR/EHR systems is required. While Epic is preferred, experience with Cerner, Allscripts, or similar systems is acceptable for this Clinical AI Architect position.
- Does the Clinical AI Architect role require direct clinical certification?
- No, direct clinical certifications such as RN, NP, or PA are not required for the Clinical AI Architect role, although they are considered a plus. A Bachelor's or Master's degree in a related field is necessary.
- What healthcare datasets are important for this Clinical AI Architect position?
- Expertise with various healthcare datasets is crucial, including claims, clinical notes, lab results, ADT feeds, SDOH, and care plans. This data is essential for building effective AI solutions.
- What is the work arrangement for the Clinical AI Architect position?
- This is a 100% remote, long-term contract role. Candidates can work from any location that allows them to perform their duties effectively.
- What cloud platforms are relevant for the Clinical AI Architect role?
- Experience with major cloud platforms such as Azure, AWS, or Google Cloud Platform is expected for this Clinical AI Architect role, supporting modern data architectures and AI model deployment.
- How does REDLEO SOFTWARE INC. ensure AI solutions are compliant?
- REDLEO SOFTWARE INC. emphasizes that AI solutions must comply with HIPAA, clinical safety, auditability, and explainability standards. This is a critical aspect of the Clinical AI Architect's responsibilities.
- What specific AI/ML skills are needed for the Clinical AI Architect role?
- The role requires 2+ years in AI/ML and clinical data engineering, with a focus on building frameworks for predictive analytics, risk stratification, and NLP/GenAI model development.