Healthfirst · 8 hours ago
Enterprise API Architect
New York, United States
Full-time
Onsite
Senior Level
$139K/yr - $212K/yr
5+ years expHealthfirst is a healthcare organization seeking an Enterprise API Architect to ensure that APIs meet modern integration and AI-enabled connectivity practices. This role involves managing architectural strategies for API reuse and intelligent automation, while also advancing enterprise composability and monitoring emerging technology trends.
Commercial InsuranceHealth CareHealth InsuranceInsurance
Responsibilities
Demonstrated knowledge in designing RESTful APIs aligned with industry best practices, modern integration architectures, and AI-supported design accelerators
Experience with Swagger/OpenAPI specifications and the use of AI-assisted documentation and schema generation tools
Comprehensive understanding of end-to-end API lifecycle (design-time and runtime) within an API gateway, including AI-driven monitoring, anomaly detection, and policy enforcement
Extensive experience designing and securing APIs and protocol-based integrations and working knowledge of the Model Context Protocol (MCP) and its use in agent-to-tool or model-to-service architectures
Strong expertise in Identity and Access Management (IAM), including OAuth 2.0, OpenID Connect, SAML, mTLS, service identities, and fine-grained authorization models (RBAC, ABAC, policy-based access control)
Relevant experience in maintenance and governance of the API lifecycle using API catalog tools with AI-enabled discoverability, impact analysis, and dependency mapping
Experience with REST web services, integration technologies, and iPaaS platforms supporting orchestration, low-code integration, event streaming, and generative integration patterns
Define API strategy centered on business domains and composable architecture principles, incorporating AI-based domain modeling and semantic discovery capabilities
Ensure API design aligns with the enterprise API and domain strategy, including integration of AI governance, security, and compliance frameworks
Define integration patterns (with POCs) for APIs, microservices, event-driven architectures, AI workflows, and iPaaS-enabled orchestrations
Define standards for APIs and event specifications, including AI readiness standards and data contracts optimized for machine learning and predictive services
Establish standards for aligning APIs and microservices with enterprise domain strategy and AI-enabled decisioning workflows
Drive API and microservices consolidation to increase reuse, rationalize redundant functionality, and optimize for AI-driven refactoring recommendations
Define and manage the enterprise API landscape, incorporating iPaaS governance, AI driven catalog insights, and automated lifecycle workflows
Qualification
Required
Demonstrated knowledge in designing RESTful APIs aligned with industry best practices, modern integration architectures, and AI-supported design accelerators
Experience with Swagger/OpenAPI specifications and the use of AI-assisted documentation and schema generation tools
Comprehensive understanding of end-to-end API lifecycle (design-time and runtime) within an API gateway, including AI-driven monitoring, anomaly detection, and policy enforcement
Extensive experience designing and securing APIs and protocol-based integrations and working knowledge of the Model Context Protocol (MCP) and its use in agent-to-tool or model-to-service architectures
Strong expertise in Identity and Access Management (IAM), including OAuth 2.0, OpenID Connect, SAML, mTLS, service identities, and fine-grained authorization models (RBAC, ABAC, policy-based access control)
Relevant experience in maintenance and governance of the API lifecycle using API catalog tools with AI-enabled discoverability, impact analysis, and dependency mapping
Experience with REST web services, integration technologies, and iPaaS platforms supporting orchestration, low-code integration, event streaming, and generative integration patterns
Define API strategy centered on business domains and composable architecture principles, incorporating AI-based domain modeling and semantic discovery capabilities
Ensure API design aligns with the enterprise API and domain strategy, including integration of AI governance, security, and compliance frameworks
Define integration patterns (with POCs) for APIs, microservices, event-driven architectures, AI workflows, and iPaaS-enabled orchestrations
Define standards for APIs and event specifications, including AI readiness standards and data contracts optimized for machine learning and predictive services
Establish standards for aligning APIs and microservices with enterprise domain strategy and AI-enabled decisioning workflows
Drive API and microservices consolidation to increase reuse, rationalize redundant functionality, and optimize for AI-driven refactoring recommendations
Define and manage the enterprise API landscape, incorporating iPaaS governance, AI driven catalog insights, and automated lifecycle workflows
Master's or Bachelor's degree in business, computer science, computer engineering, electrical engineering, systems analysis, or a related field of study, or equivalent experience
Five or more years of architecture experience in strategic and operations planning and/or business analysis or experience as an enterprise architecture consultant
Five or more years of experience in at least three disciplines, such as business, integration, solution or technical architecture, application development, or data management. Experience with AI-enabled integration platforms or iPaaS environments is advantageous
HS Diploma or GED from an accredited institution
Preferred
Proficient in the use of enterprise architecture tools and techniques, including AI-augmented architecture modeling, strategic planning, and business model canvas methodologies
Knowledge of interoperability-enabling technologies and platforms such as HL7, FHIR, and X12, with exposure to AI-powered data normalization and mapping capabilities
Deep knowledge of business ecosystems including SaaS, IaaS, PaaS, SOA, APIs, open data, microservices, event-driven IT, predictive analytics, AI services, and iPaaS solutions within the healthcare sector
Comprehensive understanding of health insurance business models, operating models, financial modeling, cost-benefit analysis, budgeting, and risk management, including the role of AI and automation in operational optimization
Expertise in product-centric operating models and scaled agile methodologies, including AI-supported backlog refinement, pattern discovery, and delivery acceleration
Current with emerging technologies and highly capable of integrating them into the business, including AI/ML services, generative AI, integration automation, and autonomous API operations
Exceptional leadership, communication, and stakeholder engagement skills, with proven ability to facilitate enterprise-wide adoption of AI-enabled integration strategies and iPaaS platforms
Demonstrated ability to incorporate the latest healthcare and AI technology trends into business and architectural strategies to optimize adoption, adaptability, and enterprise value
Benefits
Medical
Dental and vision coverage
Incentive and recognition programs
Life insurance
401k contributions
Company
Healthfirst
Healthfirst is a health insurer providing medical, business, and health insurance services.
1001-5000 employees
H1B Sponsorship
Healthfirst has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (35)
2024 (26)
2023 (19)
2022 (31)
2021 (3)
2020 (11)
Funding
Current Stage
Late StageLeadership Team
Pat Wang
President and CEO
Recent News
2026-01-22
2025-10-10
Crain's New York Business
2025-09-23
Company data provided by crunchbase