AI Solutions Architect

Job Title: AI Solutions Architect
Department: Emerging Technology
Location: Riedman Campus,100 Kings Highway South, Rochester, New York 14617.Hybrid (Onsite & Remote)

Hours Per Week: 40
Schedule: Full-Time, M-F (9 am - 5 pm), On-call will be required as team and platform mature

POSITION SUMMARY:
Architect, design, and guide delivery of AI solutions as part of Rochester Regional Health’s enterprise AI initiative, managing and leveraging platforms such as Microsoft Copilot and Microsoft Foundry, while also being familiar with capabilities from Epic, Workday, Snowflake and others to accelerate adoption and governance. Champion best practices in architecture, risk management, and program oversight, while mentoring team members and aligning technical strategy with organizational goals. 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, delivering measurable value in improved care quality, operational efficiency, and patient experience.

KEY RESPONSIBILITIES:

• Architecture & design: Define target architectures for data, model, and application layers; select tooling (MLOps, vector stores, model management, observability) and integration patterns with EHR/enterprise systems.

• Use‑case delivery: Lead end‑to‑end solutioning for priority use‑cases (e.g., IT support, clinical documentation assistance, patient safety and quality); author reference implementations and reusable components.

• Security, privacy & compliance: Implement PHI safeguards, role‑based access, model governance, prompt/content filtering, audit trails; align with HIPAA and internal policies.

• Reliability & monitoring: Establish model risk controls (drift, bias, hallucination mitigation), human‑in‑the‑loop checkpoints, and performance SLAs.

• Standards & enablement: Publish architecture standards and patterns; mentor engineers and analysts; contribute to AI intake, feasibility, and TCO assessments.

• Vendor/platform evaluation: Assess AI platforms and partners; drive technical due diligence and integration plans; optimize cost/performance.

• Stakeholder engagement: Translate clinical/operational needs into technical solutions; communicate tradeoffs, roadmaps, and outcome metrics.

PREFERRED QUALIFICATIONS:

• 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.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.

• 5+ years in Solutions Architecture/Engineering with enterprise production deployments.

EDUCATION:

LICENSES / CERTIFICATIONS:

PHYSICAL REQUIREMENTS:

L - Light Work - Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly; requires occasional walking, standing or squatting.

For disease specific care programs refer to the program specific requirements of the department for further specifications on experience and educational expectations, including continuing education requirements.

Any physical requirements reported by a prospective employee and/or employee’s physician or delegate will be considered for accommodations.

PAY RANGE:

$120,000.00 - $145,000.00

Rochester

14617

The listed base pay range is a good faith representation of current potential base pay for a successful full time applicant. It may be modified in the future and eligible for additional pay components. Pay is determined by factors including experience, relevant qualifications, specialty, internal equity, location, and contracts.

Rochester Regional Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, predisposing genetic characteristics, marital or familial status, military or veteran status, citizenship or immigration status, or any other characteristic protected by federal, state, or local law.