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Application Solution Architect (Healthcare)

Infinite Computer Solutions (ICS)United States🇺🇸United StatesPosted Oct 12, 2026

Why This Role Stands Out

This remote Application Solution Architect role at Infinite Computer Solutions offers a fantastic opportunity to design and deliver cutting-edge healthcare technology solutions across hybrid and cloud environments. You'll thrive here if you possess strong architectural expertise, proficiency in C4 modeling and API integration, and a passion for problem-solving within complex enterprise landscapes, particularly with clinical systems. Apply now to shape the future of healthcare technology from anywhere!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
6 days ago
SAFeAWSNLPScrumAgileAzureData PipelineGoogle CloudKafkaTensorFlow

Job Description

We're seeking for an Application Solution Architect (Healthcare) for our direct client. Please review the below job Description and revert with your interest for the same.

Role: Application Solution Architect (Healthcare)

Location: Remote with occasional travel to Pleasanton, CA (The customer will pay)

Long term contract

Role Summary

We are seeking a technically proficient, vendor-neutral Solution Architect to lead the design, integration, and delivery of enterprise-grade solutions across both on-premise and cloud-native environments. This role requires deep architectural expertise, strong problem-solving skills, and the ability to manage multiple concurrent projects across complex enterprise landscapes.

The ideal candidate is fluent in C4 modeling, highly experienced in API-centric system integration, and has exposure to AI-related solutioning such as ML model integration, data pipeline orchestration, or intelligent automation. Healthcare experience in clinical systems solution architecture for example Epic/Cerner, Pharmacy/PDX, Radiology/Sectra PACS/EPIC Radiant is required.

Key Responsibilities

  • Architecture Design: Develop and maintain architectural artifacts using the C4 model (Context, Container, Component, Code). Design scalable, modular solutions across on-premise, hybrid, and cloud-native platforms.
  • Solution Delivery: Translate business and technical requirements into practical, scalable, and maintainable solutions. Evaluate and recommend architectural patterns, platforms, and services, including AI/ML components where applicable.
  • API Integration and Design: Lead the design and governance of RESTful APIs, event-driven architectures, and secure external/internal integrations. Ensure API usability, scalability, and lifecycle alignment with enterprise strategy.
  • Project and Workload Management: Manage and prioritize multiple initiatives simultaneously, ensuring technical alignment and consistent solution delivery.
  • Cross-Team Collaboration: Collaborate with product managers, engineers, data scientists, and business stakeholders to align architecture with delivery priorities and long-term goals.
  • Documentation and Governance: Own the development of Solution Architecture Descriptions (SADs), interface specifications, compliance artifacts, and documentation aligned with standards such as Arc42.
  • Agile and Delivery Support: Support agile planning, sprint execution, estimation, and technical risk mitigation.

Required Skills and Experience

  • 8 or more years of experience in solution architecture, including leadership of large-scale, cross-functional initiatives.
  • Proven expertise in API design, system integration, and cloud-native development.
  • Experience delivering or supporting AI-driven solutions (e.g., model orchestration, data services for ML pipelines, intelligent workflow integration).
  • Proficiency in C4 modeling and architecture documentation standards (e.g., Arc42, SAD).
  • Strong understanding of security, compliance, and data governance in regulated environments.
  • Effective communication and stakeholder engagement skills.
  • Familiarity with agile delivery frameworks such as SAFe or Scrum
  • Exposure to healthcare integration standards: HL7, FHIR, or payer/provider interoperability

Preferred Qualifications

  • Experience with cloud platforms: AWS, Azure, or Google Cloud Platform
  • Familiarity with AI/ML tools (e.g., TensorFlow, Vertex AI, Azure AI Services) or NLP platforms
  • Experience with integration tools: Mulesoft, Boomi, Kafka, Apigee

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