Architect, design, and guide delivery of AI solutions as part of Rochester Regional Health’s enterprise AI initiative
Champion best practices in architecture, risk management, and program oversight
Ensure all implementations are secure, reliable, ethically responsible, and compliant with healthcare regulations (HIPAA)
Partner with data, engineering, security, and clinical teams to move from use-case discovery to production deployment and scale
Define target architectures for data, model, and application layers
Lead end‑to‑end solutioning for priority use‑cases (e.g., IT support, clinical documentation assistance, patient safety and quality)
Implement PHI safeguards and align with HIPAA and internal policies
Establish model risk controls and performance SLAs
Assess AI platforms and partners; drive technical due diligence and integration plans
Translate clinical/operational needs into technical solutions

Graduate degree in CS/AI/ML
Certifications (e.g., Azure/AWS Architect, Snowflake, Kubernetes)
Experience with LLM ecosystems (prompt engineering, retrieval‑augmented generation, guardrails), AI agents, agentic platforms, and/or NLP in healthcare.
Familiarity with EHR platforms and standards (FHIR, HL7), and clinical safety review processes.
Familiarity with or contributions to open‑source AI tooling or internal reusable frameworks.
Proven ability to implement solutions in regulated environments; strong grasp of governance, security controls, and healthcare interoperability.
Excellent systems thinking, documentation, and stakeholder communication skills.
Hands‑on experience with cloud (Azure/AWS/GCP), data platforms (SQL/NoSQL, lakehouse), MLOps (CI/CD for models, feature stores), and secure API integration.

AI Solutions Architect

Key skills