Healthcare Enterprise Architect: AI & API Integration

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Montefiore Einstein Technology is seeking an experienced and forward-thinking Enterprise Architect with deep specializations in Integration Architecture and Artificial Intelligence to join our growing Office of the Enterprise Architect. This is a newly created role that reflects the organization's strategic investment in architecture as a discipline and offers the opportunity to help shape the integration and AI architecture practice from the ground up.

The successful candidate will bridge strategic vision and execution — working across clinical, operational, and research domains to ensure that integration patterns are scalable, secure, and standards-aligned, and that AI initiatives are responsibly governed, architecturally sound, and clinically purposeful. Reporting to the Director of Enterprise Architecture, this role is a principal technical contributor and collaborative partner to both technology and clinical leadership across the health system.

Enterprise Architecture & Governance

• Define, maintain, and evolve the enterprise architecture framework (TOGAF or equivalent) across clinical, operational, and administrative technology domains.
• Participate in Technology Review Board (TRB) and Architecture Review Board (ARB) processes, providing expert guidance on architecture standards, risk acceptance, and technical trade-offs.
• Develop architecture roadmaps aligned to organizational strategy, regulatory requirements (HIPAA, HL7 FHIR, 21st Century Cures Act), and industry best practices.
• Maintain architecture artifacts including reference architectures, standards, patterns, and decision records.
• Partner with the Chief Enterprise Architect on cross-domain governance, strategic planning, and enterprise-wide initiatives.

Integration Architecture

• Lead the design and governance of enterprise integration patterns, including event-driven architecture, API-first design, and hybrid integration strategies.
• Architect and govern integration platforms (e.g., Mule Soft, Azure Integration Services, IBM Data Power, Inter Systems Health Share) across the healthcare enterprise.
• Define and enforce HL7 FHIR R4/R5, HL7 v2.x, DICOM, and RESTful/SOAP API standards for clinical and administrative data exchange.
• Lead interoperability initiatives supporting Epic, ancillary clinical systems, payer platforms, and state/federal health information exchanges (HIEs).
• Evaluate and guide adoption of emerging integration technologies including real-time data streaming (Kafka), iPaaS, and microservices architectures.
• Establish and maintain integration governance frameworks including API lifecycle management, data contracts, SLAs, and versioning policies.

Artificial Intelligence Architecture

• Serve as the architectural authority for AI/ML initiatives across the health system, spanning clinical decision support, operational AI, and generative AI applications.
• Design enterprise AI infrastructure patterns including model deployment pipelines, MLOps frameworks, vector databases, RAG architectures, and LLM integration patterns.
• Develop and enforce AI governance standards addressing model risk management, bias detection, explainability, audit logging, and regulatory compliance (FDA AI/ML SaMD guidance where applicable).
• Collaborate with clinical informatics, data science, and research teams to ensure AI solutions are architecturally sound, scalable, and compliant with patient safety and privacy requirements.
• Evaluate and guide vendor AI solutions (ambient documentation, predictive analytics, prior auth automation, etc.) against enterprise architecture standards.
• Champion responsible AI adoption, working across legal, compliance, privacy, and clinical stakeholders to establish trust frameworks and governance guardrails.

Stakeholder Engagement & Leadership

• Communicate architecture strategy and decisions clearly to both technical and executive audiences, including C-suite, clinical leadership, and external…