Principal AI Architect
About The Position
The Principal AI Architect designs, governs, and implements enterprise AI/ML solutions to improve clinical outcomes, operational efficiency, workforce productivity, and business performance across Sanford. The role provides technical leadership and partners with business stakeholders, clinical leaders, data teams, and technology teams to translate business challenges into scalable, secure, and compliant AI-enabled solutions. The position defines AI architecture standards, evaluates emerging technologies, and ensures solutions align with organizational goals, healthcare regulations, security requirements, and responsible AI principles. It combines expertise in AI, cloud architecture, data platforms, healthcare interoperability, and enterprise integration. The architect designs solutions across generative AI, machine learning, conversational AI, intelligent automation, predictive analytics, and clinical decision support, supporting cloud and hybrid environments. The role also establishes AI governance and monitoring practices, assesses risks, guides implementation teams, and supports AI education, adoption, and change management across the organization.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field.
- At least 7 years of experience in solution architecture, application architecture, data architecture, or software engineering.
- At least 3 years of experience designing AI, machine learning, analytics, or automation solutions.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
- Experience designing enterprise integrations using APIs, event-driven architecture, or middleware platforms.
- Experience working with complex enterprise systems and data environments.
Nice To Haves
- Master’s degree.
- AI and cloud architecture certifications.
Responsibilities
- Design and implement enterprise AI architectures for generative AI, machine learning, conversational AI, intelligent automation, predictive analytics, and clinical decision support.
- Develop architecture patterns, standards, and reference designs for AI solutions.
- Create scalable, resilient, and secure AI platforms across cloud and hybrid environments.
- Define integration approaches connecting AI systems with enterprise applications and data platforms.
- Design AI solutions that use healthcare data while maintaining privacy and security requirements.
- Architect integrations with EHR, ERP, HR, and collaboration platforms.
- Support implementation of HL7, FHIR, CDA, DICOM, and X12 healthcare interoperability standards.
- Collaborate with data architects and engineers to establish AI-ready data pipelines and governance frameworks.
- Ensure AI solutions comply with HIPAA, HITECH, organizational security standards, and healthcare regulatory requirements.
- Establish controls for model governance, monitoring, auditability, and responsible AI practices.
- Conduct architecture reviews and risk assessments for AI initiatives.
- Partner with cybersecurity, compliance, and privacy teams to mitigate AI-related risks.
- Evaluate emerging AI technologies, vendors, platforms, and frameworks, and develop build-versus-buy recommendations.
- Lead proof-of-concept and pilot initiatives for new AI capabilities.
- Stay current with healthcare AI trends and industry best practices.
- Partner with clinical, operational, and business leaders to identify AI opportunities.
- Translate complex technical concepts into business-friendly recommendations.
- Provide architectural guidance to engineers, developers, and data scientists.
- Participate in architecture governance and strategic planning activities.
- Contribute to AI education, adoption, and change management across the organization.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Principal
