Executive Director, AI​/ML Engineering

Overview

About The Team:
Labcorp’s AI Division is a fast-moving team focused on frontier technologies like AI, quantum computing, and agentic applications. We value practical problem solving, exploring what’s possible, and moving ideas from concept to action. We welcome people from all kinds of backgrounds who want to collaborate, experiment, and shape what comes next. If you like figuring things out, trying new approaches, and challenging the status quo, you’ll fit right in.

Job Summary:

The Executive Director of AI/ML Engineering is a senior technology leader responsible for driving the design, development, and deployment of AI-powered applications across Labcorp. This role sets the engineering vision and leads the technical execution of advanced AI and data products that support clinical research, diagnostics, and healthcare operations. You’ll guide teams building enterprise-scale software platforms and automation tools that improve how we deliver healthcare insights.

The ideal candidate combines deep technical expertise in AI/ML and modern software engineering with strong leadership and strategic thinking to shape how Labcorp applies intelligent technologies to improve health outcomes.

Reports to:

SVP, Artificial Intelligence Solutions

People Management:
Yes

• Lead the AI/ML Engineering organization, including data, ML, platform, and Dev Ops teams, delivering reliable, scalable, and secure applications.
• Define and execute the long-term technical vision and architecture for Labcorp’s AI platforms and development frameworks.
• Translate product roadmaps into scalable, cloud-native applications and platforms for internal and external users.

• Oversee rapid prototyping and enterprise deployment of AI-driven tools and emerging technologies.
• Provide technical direction on integrating AI/ML models (classical and neural) with modern data systems such as Snowflake, Postgres, and Elastic Search.
• Occasionally take a hands-on role in shaping or reviewing key technical implementations.

• Build, mentor, and retain a diverse, high-performing engineering team with expertise in AI/ML, data, and platform development.
• Foster a culture of innovation, learning, collaboration, and accountability.
• Empower teams to experiment, deliver, and grow through open communication and trust.

• Work closely with product, design, data science, clinical, and compliance teams to ensure AI/ML solutions are scalable, secure, and compliant.
• Act as the senior technical advisor to executives and stakeholders, translating engineering progress into clear, business-focused outcomes.

• Oversee budgets, vendor partnerships, and delivery of engineering initiatives across the AI portfolio.
• Continuously improve processes and efficiency through agile and Dev Ops best practices.
• Ensure engineering operations align with global regulatory, security, and ethical AI standards.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent experience).
• 12+ years of experience in AI/ML software engineering, including 5+ years in a senior leadership role.

• Master’s or PhD in Computer Science, Data Science, Mathematics, or Bioinformatics.
• Experience with high-performance computing and advanced computing environments.
• Publications or recognized contributions to AI in healthcare, life sciences, or scientific computing.

• Proven success leading teams that have built and deployed enterprise-scale AI/ML systems.
• Deep knowledge of ML frameworks (Tensor Flow, PyTorch), programming languages (Python, JavaScript/Node.js), and Dev Ops pipelines.
• Expertise in distributed data platforms, APIs, and modern software delivery methods.
• Experience implementing LLMs and multi-modal AI solutions in production.
• Strong background in regulated industries such as healthcare or clinical trials.
• Excellent communication, collaboration, and executive influencing skills.
• Demonstrated ability to…