Enterprise Architect; JR

Introduction

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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 partners.
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