Executive Director, AI Engineering and EHR Systems
- Compensation
- Not disclosed
- Location
- Beth Israel Lahey Health
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Not specified
- Posted
Skills
Must have
- 1. A bachelor's degree is required.
- 2. 15+ years related work experience required and 8 to 10 years supervisory/management experience required.
- 3. Proven experience leading the strategy, development, deployment, and operations of enterprise AI and machine learning solutions, including generative AI and advanced analytics platforms.
- 4. Demonstrated experience managing Epic EHR backend systems and InterSystems HealthConnect (or equivalent integration engines), including large-scale healthcare data integration and interface managem
- 5. Extensive experience operating within a complex healthcare environment, with strong understanding of clinical workflows, regulatory requirements, data governance, and patient safety considerations.
- Pay Range:
- The pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined ba
Full description
When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.
The Executive Director, AI Engineering and EHR Systems provides strategic and operational leadership for the design, development, deployment, and support of enterprise artificial intelligence solutions across Beth Israel Lahey Health (BILH). This role is responsible for AI platforms, machine learning solutions, data pipelines, and critical healthcare technology environments, including Epic EHR backend systems and integration platforms.
Working closely with clinical, operational, digital health, software engineering, data and analytics, cybersecurity, and infrastructure teams, the Executive Director defines the technical vision, architecture, and engineering practices required to operationalize AI at scale across the enterprise.
The role is also accountable for building and leading high-performing teams, ensuring the responsible, secure, and compliant implementation of AI solutions, and driving the successful delivery and adoption of AI initiatives from concept through enterprise-wide deployment.
Job Description:Essential Duties & Responsibilities including but not limited to:
- 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.
- Manage relationships with AI technology vendors, cloud providers, strategic partners, and key stakeholders.
- 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.