Healthcare Enterprise Architect: AI & API Integration

Introduction

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Overview

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.

Responsibilities

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., MuleSoft, Azure Integration Services, IBM DataPower, InterSystems HealthShare) 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.
• Mentor and develop junior architects and technical leads across the enterprise.
• Engage with strategic vendors, system integrators, and academic/research partners as a technical authority.
• Contribute to RFP evaluations, vendor assessments, and contract negotiations from an architecture perspective.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience. Master's degree is strongly preferred.
• 8+ years of progressive experience in enterprise or solution architecture roles.
• 5+ years of hands-on integration architecture experience, including API design, middleware platforms, and event-driven systems.
• 3+ years of experience architecting or governing AI/ML solutions in production environments.
• Deep expertise in healthcare interoperability standards: HL7 FHIR, HL7 v2.x, CDA, DICOM, IHE profiles.
• Demonstrated experience with enterprise integration platforms (MuleSoft, Azure Integration Services, IBM, InterSystems, or equivalent).
• Strong knowledge of cloud architecture patterns (Azure, AWS, or GCP) and hybrid cloud/on-premises integration.
• Experience presenting to and working with executive stakeholders, governance boards, and clinical leadership.
• Excellent written and verbal communication skills with the ability to translate complex technical concepts for non-technical audiences.

Preferred:

• TOGAF 9 or 10 certification (or equivalent architecture framework certification such as Zachman, SABSA).
• Experience in an academic medical center, integrated delivery network, or large health system environment.
• Hands-on experience with Epic integration (Chronicles, Bridges, FHIR APIs, Cogito).
• Familiarity with generative AI frameworks and LLM orchestration tools (LangChain, Azure OpenAI, Anthropic API, AWS Bedrock).
• Experience with MLOps platforms (Azure ML, SageMaker, MLflow, Kubeflow) and model governance frameworks.
• Knowledge of cybersecurity architecture principles and HIPAA technical safeguard requirements.
• Experience with data mesh, data fabric, or enterprise data platform architectures.
• Certifications in relevant cloud platforms (Azure Solutions Architect Expert, AWS Solutions Architect Professional).
• Active participation in HIMSS, HL7 International, or similar healthcare IT standards bodies.