Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Big Data, Clinical Assessment, Clinical Study Publications, Cloud Computing, Communication Skills, Continuous Improvement, Conversation Engine, Cross-Functional, Current Procedural Terminology (CPT), Data Science, DevOps, Electronic Medical Records, Emerging Technology, Enterprise Architecture, GCP (Good Clinical Practices), HIPAA (Health Insurance Portability and Accountability Act), HL7 (Health Level 7), Healthcare, Healthcare Customer Service, Healthcare Providers, Healthcare Software, Information Technology & Information Systems, Information/Data Security (InfoSec), International Classification of Diseases (ICD), Interoperability, Maintain Compliance, Medical Diagnosis, Medical Record System, Microservices, Microsoft Windows Azure, Natural Language Processing (NLP), Privacy Controls, Regulations, Regulatory Compliance, System Integration (SI), TOGAF - The Open Group Architecture Framework, Technical Leadership, Use Cases
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Job Title: Enterprise Architect - AI (Healthcare Domain)
Location: New York City, NY
Experience: 12+ Years
Role Summary:
We are seeking an experienced Enterprise Architect with strong expertise in Artificial Intelligence (AI) and Healthcare domain to lead the design and implementation of enterprise-wide solutions. The candidate will drive AI-led digital transformation initiatives while ensuring alignment with healthcare regulations, data standards, and business objectives.
Key Responsibilities:
- Define and drive enterprise architecture strategy aligned with healthcare business goals
- Lead design and implementation of AI/ML solutions for healthcare use cases (clinical analytics, patient engagement, diagnostics, revenue cycle, etc.)
- Collaborate with clinical, operational, and business stakeholders to identify AI-driven opportunities
- Ensure compliance with healthcare regulations and standards (HIPAA, HL7, FHIR, etc.)
- Architect secure, scalable, and high-performing AI-enabled healthcare platforms
- Integrate AI solutions with EHR/EMR systems and other healthcare applications
- Establish architecture governance, standards, and best practices for AI adoption
- Drive data architecture strategy including interoperability and data exchange
- Oversee implementation of data privacy, security, and ethical AI practices
- Provide technical leadership to cross-functional teams (data engineering, AI/ML, application teams)
- Conduct architecture reviews and ensure continuous improvement
- Stay updated with emerging healthcare technologies and AI trends
Required Skills & Qualifications:
- 12+ years of IT experience with 5+ years in Enterprise Architecture
- Strong experience in Healthcare domain (Provider/Payer systems)
- Hands-on experience in AI/ML, Data Science, and Advanced Analytics
- Experience working with healthcare data standards (HL7, FHIR, ICD, CPT)
- Strong knowledge of EHR/EMR systems integration
- Expertise in cloud platforms (AWS, Azure, or GCP) with AI/ML services
- Experience with big data technologies and data governance frameworks
- Strong understanding of microservices architecture and API integrations
- Knowledge of DevOps/MLOps practices
- Excellent stakeholder management and communication skills
Preferred Qualifications:
- Experience in Generative AI (LLMs, NLP for clinical documentation, chatbots)
- TOGAF or cloud certifications (AWS/Azure Architect)
- Exposure to healthcare analytics, population health, or value-based care models
'',''!*!
Job Title: Enterprise Architect - AI (Healthcare Domain)
Location: New York City, NY
Experience: 12+ Years
Role Summary:
We are seeking an experienced Enterprise Architect with strong expertise in Artificial Intelligence (AI) and Healthcare domain to lead the design and implementation of enterprise-wide solutions. The candidate will drive AI-led digital transformation initiatives while ensuring alignment with healthcare regulations, data standards, and business objectives.
Key Responsibilities:
- Define and drive enterprise architecture strategy aligned with healthcare business goals
- Lead design and implementation of AI/ML solutions for healthcare use cases (clinical analytics, patient engagement, diagnostics, revenue cycle, etc.)
- Collaborate with clinical, operational, and business stakeholders to identify AI-driven opportunities
- Ensure compliance with healthcare regulations and standards (HIPAA, HL7, FHIR, etc.)
- Architect secure, scalable, and high-performing AI-enabled healthcare platforms
- Integrate AI solutions with EHR/EMR systems and other healthcare applications
- Establish architecture governance, standards, and best practices for AI adoption
- Drive data architecture strategy including interoperability and data exchange
- Oversee implementation of data privacy, security, and ethical AI practices
- Provide technical leadership to cross-functional teams (data engineering, AI/ML, application teams)
- Conduct architecture reviews and ensure continuous improvement
- Stay updated with emerging healthcare technologies and AI trends
Required Skills & Qualifications:
- 12+ years of IT experience with 5+ years in Enterprise Architecture
- Strong experience in Healthcare domain (Provider/Payer systems)
- Hands-on experience in AI/ML, Data Science, and Advanced Analytics
- Experience working with healthcare data standards (HL7, FHIR, ICD, CPT)
- Strong knowledge of EHR/EMR systems integration
- Expertise in cloud platforms (AWS, Azure, or GCP) with AI/ML services
- Experience with big data technologies and data governance frameworks
- Strong understanding of microservices architecture and API integrations
- Knowledge of DevOps/MLOps practices
- Excellent stakeholder management and communication skills
Preferred Qualifications:
- Experience in Generative AI (LLMs, NLP for clinical documentation, chatbots)
- TOGAF or cloud certifications (AWS/Azure Architect)
- Exposure to healthcare analytics, population health, or value-based care models
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