
Executive Director, AI/ML Engineering
LabCorp, Raleigh, NC, United States
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
Key Responsibilities Engineering Leadership & Strategy Lead the AI/ML Engineering organization, including data, ML, platform, and DevOps 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.
Technical Innovation & Execution 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 ElasticSearch.
Occasionally take a hands-on role in shaping or reviewing key technical implementations.
Team Leadership & Talent Development 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.
Cross-Functional & Strategic Collaboration 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.
Operational Management & Governance Oversee budgets, vendor partnerships, and delivery of engineering initiatives across the AI portfolio.
Continuously improve processes and efficiency through agile and DevOps best practices.
Ensure engineering operations align with global regulatory, security, and ethical AI standards.
Qualifications Minimum Qualifications 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.
Preferred Qualifications 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.
Skills & Competencies Proven success leading teams that have built and deployed enterprise-scale AI/ML systems.
Deep knowledge of ML frameworks (TensorFlow, PyTorch), programming languages (Python, JavaScript/Node.js), and DevOps 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 manage large-scale engineering portfolios with strategic and operational complexity.
Working Conditions Hybrid and flexible work options are available, with preference for candidates located near Labcorp’s engineering, innovation, or research hubs.
Application Window Application Window: 10/31/2025
Compensation Pay Range: $200-300k
All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. The position is eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers. Compensation may also include discretionary short- and long-term incentive packages.
Benefits Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including Medical, Dental, Vision, Life, STD/LTD, 401(k), PTO or FTO, Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only.
For more detailed information, please click here.
Equal Opportunity Labcorp Is Proud To Be An Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, family or parental status, marital status, sexual orientation, gender identity, gender expression, age, veteran status, disability, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
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