AI Technical Architect

Location: Chicago, Illinois / Remote Business Unit: Rush Medical Center Hospital: Rush University Medical Center Department: D&IS Innovation Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift 1 Work

8 Hr (8:00:00 AM - 5:00:00 PM) Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

$65.44 - $98.81 per hour Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Enterprise AI Architect | Build the Future of AI in Healthcare Rush is seeking an Enterprise AI Architect to shape the strategy, architecture, and responsible implementation of artificial intelligence across our healthcare enterprise. As a core member of the Rush AI Center of Excellence, you’ll define the technical standards, integration patterns, and architectural frameworks that enable secure, scalable, and compliant AI, machine learning, and advanced analytics solutions.

Reporting to the Director of AI & Innovation, you’ll partner with AI, data engineering, cybersecurity, clinical informatics, and operational teams to translate clinical and business needs into enterprise-ready technical solutions. From evaluating emerging technologies and designing AI-enabled platforms to guiding solutions from pilot to production, you’ll help ensure our AI capabilities are reliable, secure, and aligned with enterprise strategy.

You’ll design end-to-end AI architectures spanning data pipelines, cloud platforms, enterprise integrations, model deployment, and ongoing performance monitoring. You’ll also help establish MLOps practices, strengthen healthcare data interoperability, and embed security, privacy, regulatory compliance, and responsible AI principles into solution designs. This role combines strategic architectural leadership with hands-on technical engagement, including design reviews, reference implementations, and collaboration with delivery teams.

What you’ll bring: A bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience; at least 8 years of experience in IT, data, or solution architecture; and at least 3 years designing or supporting AI/ML platforms or advanced analytics solutions. You’ll also bring experience designing enterprise-scale data and AI architectures, ideally in a complex, regulated environment. Experience with healthcare AI, EHR platforms such as Epic, cloud data platforms, MLOps, and responsible AI governance is a plus.

Work arrangement: Remote or hybrid, with periodic travel to Chicago for team collaboration and enterprise events.

AI Architecture & Technical Strategy Define end-to-end architectures for AI solutions, from data ingestion through model deployment, monitoring, and retirement. Establish and maintain enterprise AI reference architectures, design patterns, and architectural standards. Ensure alignment with enterprise IT, cloud, data, integration, and application strategies.

Evaluate emerging AI technologies, platforms, and tools for healthcare applicability and enterprise readiness. Data, Platform & Integration Architecture Design scalable data architectures supporting AI/ML, analytics, and real-time decision support. Architect integrations across EHRs, enterprise systems, data platforms, and external services.

Support healthcare interoperability standards including HL7, FHIR, APIs, and SMART on FHIR where applicable. Ensure data lineage, quality, reliability, and observability across AI pipelines. AI/ML Enablement & Lifecycle Support Define architectural approaches for model development, deployment, versioning, monitoring, and retraining.

Support MLOps practices including CI/CD, environment separation, automation, and reproducibility. Ensure architectures support explainability, auditability, performance monitoring, and model validation. Partner with data scientists and engineers to translate business and clinical use cases into technical designs.

Security, Privacy, Compliance & Responsible AI Embed security-by-design principles into AI architectures including IAM, network controls, encryption, and secrets management. Ensure compliance with HIPAA, data privacy, cybersecurity, and healthcare regulatory requirements. Design for PHI protection including minimum necessary access, de-identification and pseudonymization patterns, and auditable access controls.

Support responsible AI practices including bias mitigation, transparency, explainability, and governance controls. Collaborate with cybersecurity, risk, compliance, and legal teams on architecture reviews and third-party/vendor AI risk assessments. Partner with clinical and operational stakeholders to ensure patient safety, clinical appropriateness, change management, and fallback behavior for AI-enabled workflows.

Governance & Technical Oversight Participate in AI governance bodies, architecture review boards, and technical decision forums. Provide technical guidance and approvals for AI solutions moving from pilot to production. Create and maintain architectural documentation including reference architectures, standards, decision records, threat models, and data flow diagrams.

Identify and manage architectural risks, dependencies, and technical debt. Clarification of Architectural Role This role includes both strategic and hands-on

Define standards and guardrails while also contributing to reference implementations. Review and approve designs while partnering directly with delivery teams. Maintain ownership of enterprise AI architecture decisions while advising product and project teams.

Engage at a design and code-adjacent level (Python/SQL, pipelines, cloud services) as needed. Required Job

Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience. 8+ years of experience in IT, data, or solution architecture roles. 3+ years designing or supporting AI/ML platforms or advanced analytics solutions. Hands-on experience designing enterprise-scale data and AI architectures. Experience operating in complex, regulated environments such as healthcare.

Strong relationship-building skills and a collaborative, outcomes-focused mindset. Preferred Job Qualifications Experience architecting AI/ML solutions in healthcare or life sciences. Familiarity with EHR platforms (e.g., Epic) and healthcare data models.

Experience with cloud platforms, data lakes/warehouses, and MLOps tooling. Knowledge of AI governance, responsible AI frameworks, and model risk management. Architecture certifications or advanced technical credentials.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.