Remote AI Healthcare Solutions Architect

Insight Global
Hartford, CT, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Health Informatics Cloud Computing Cloud Engineering Data Governance Machine Learning Salesforce.Com Google Cloud Fast Healthcare Interoperability Resources Generative AI
+2 more
AI Platforms Health Level Seven International

Job description

We are seeking an experienced AI Solutions Architect to lead the identification, design, execution, and deployment of AI-driven healthcare solutions that deliver measurable business and clinical outcomes. This strategic and hands-on leadership role requires deep expertise in artificial intelligence, cloud-native architectures, healthcare technology, and enterprise solution design. The ideal candidate will partner closely with Product, Business, Architecture, Engineering, Data, and Operations teams to transform innovative concepts into scalable, production-ready AI platforms and applications. Responsibilities include defining AI strategy and solution roadmaps, evaluating emerging technologies, leading architecture and design reviews, developing scalable cloud-based architectures, and overseeing implementation from concept through deployment. This individual will serve as a trusted advisor to business and technology stakeholders, identifying opportunities to leverage AI, machine learning, predictive analytics, and automation to enhance healthcare operations, member/provider experiences, and clinical outcomes. The AI Solutions Architect will also drive modernization initiatives across the healthcare technology landscape, establish architectural standards and best practices, mentor architects and technical teams, and ensure solutions align with enterprise architecture, security, compliance, and regulatory requirements while delivering tangible business value.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Requirements

10+ years of experience in Solution Architecture, Enterprise Architecture, or Technology Leadership roles with demonstrated success delivering complex healthcare technology solutions.

Strong expertise in Artificial Intelligence, Machine Learning, Generative AI, and cloud-native architectures (Azure, AWS, or GCP), including designing and deploying production-scale AI solutions.

Deep understanding of healthcare technology ecosystems, data standards, and regulatory requirements, including HIPAA, FHIR, HL7, healthcare analytics, and healthcare operations.

Proven ability to collaborate across executive leadership, business stakeholders, product teams, data organizations, and engineering teams to define strategy and drive execution.

Experience leading architecture reviews, technology evaluations, modernization initiatives, and enterprise-wide transformation programs while mentoring and developing technical talent. Expertise with FHIR HL7 standards

Cloud certifications within Salesforce, GCP, Azure, or AWS

Experience in large scale migration efforts

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