Principal AI Architect

This is a fully remote position, open to applicants in Iowa, +5 more states.

📋 Description

• Design and develop enterprise-level AI architectures that support Generative AI, Machine Learning, Conversational AI, Intelligent Automation, Predictive Analytics, and Clinical Decision Support.

• Create architectural patterns, standards, and reference designs for AI solutions.

• Build scalable, resilient, and secure AI platforms across both cloud and hybrid environments.

• Define integration methodologies that connect AI systems with enterprise applications and data platforms.

• Develop AI solutions utilizing healthcare data while ensuring adherence to privacy and security regulations.

• Architect integrations with Electronic Health Records (EHR), Enterprise Resource Planning (ERP), Human Resources (HR), and collaboration platforms.

• Support healthcare interoperability standards, including HL7, FHIR, CDA, DICOM, and X12.

• Collaborate with data architects and engineers to establish AI-ready data pipelines and governance frameworks.

• Ensure compliance with HIPAA, HITECH, security standards, and healthcare regulations.

• Establish governance for models, including monitoring, auditability, and responsible AI controls.

• Conduct architecture reviews and risk assessments.

• Work in partnership with cybersecurity, compliance, and privacy teams to address AI-related risks.

• Assess emerging AI technologies, vendors, platforms, and frameworks.

• Develop recommendations on build versus buy decisions.

• Lead proof-of-concept and pilot projects.

• Collaborate with clinical, operational, and business leaders to pinpoint AI opportunities.

• Provide architectural direction to engineers, developers, and data scientists.

• Engage in architecture governance and strategic planning.

• Contribute to AI education, adoption, and change management initiatives.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field is required.

• A minimum of 7 years of experience in solution architecture, application architecture, data architecture, or software engineering.

• At least 3 years of experience in designing AI, machine learning, analytics, or automation solutions.

• Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.

• Experience in designing enterprise integrations using APIs, event-driven architecture, or middleware platforms.

• Background in working with complex enterprise systems and data environments.

• AI and Cloud architecture certifications are preferred.

• A Master’s degree is preferred.

🏝️ Benefits

• 8-hour day shifts.

• 40 scheduled hours per week.

• EEO/AA employer.

• Disability accommodation support for online applications.