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