Executive Director, AI Engineering and EHR Systems

Job Description

• Lead the design, development, deployment, and operation of enterprise AI platforms supporting machine learning, generative AI, agentic AI, and advanced analytics use cases.
• Establish scalable AI infrastructure, development frameworks, APIs, and reusable services to accelerate solution delivery and adoption.
• Define and implement AI engineering standards, best practices, and architectural guidelines to ensure scalability, security, reliability, and maintainability.
• Establish operational processes, monitoring, observability, and support models for production of AI systems.
• Lead incident management, root cause analysis, and continuous improvement initiatives for AI platforms and services.
• Establish controls and processes for model evaluation, validation, monitoring, explainability, governance, and risk management.
• Evaluate emerging AI technologies and recommend investments and innovation opportunities that align with organizational priorities and strategic objectives.
• Ensure AI solutions are effectively integrated with enterprise applications, data platforms, and clinical workflows.
• Provide leadership, coaching, performance management, and career development for managers, engineers, and technical staff.
• Oversee the operation, performance, and reliability of Epic EHR backend systems and integration engines.
• Establish key performance indicators (KPIs) and metrics to measure AI adoption, effectiveness, reliability, operational efficiency, and return on investment (ROI).

Minimum Qualifications

• A bachelor's degree is required.
• 15+ years related work experience required and 8 to 10 years supervisory/management experience required.
• Proven experience leading the strategy, development, deployment, and operations of enterprise AI and machine learning solutions, including generative AI and advanced analytics platforms.
• Demonstrated experience managing Epic EHR backend systems and InterSystems HealthConnect (or equivalent integration engines), including large-scale healthcare data integration and interface management.
• Extensive experience operating within a complex healthcare environment, with strong understanding of clinical workflows, regulatory requirements, data governance, and patient safety considerations.

Pay Range

$220,000.00 USD - $275,000.00 USD