Labcorp is looking to drive the design, development, and deployment of AI-powered applications across the organization to improve health outcomes.
Requirements
- 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.
- Proven success leading teams that have built and deployed enterprise-scale AI/ML systems.
- Experience with high-performance computing and advanced computing environments.
- Publications or recognized contributions to AI in healthcare, life sciences, or scientific computing.
Responsibilities
- Lead the AI/ML Engineering organization, including data, ML, platform, and DevOps teams responsible for 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 the integration of 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.
- Ensure engineering operations align with global regulatory, security, and ethical AI standards.
Other
- 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.
- Excellent communication, collaboration, and executive influencing skills.
- Demonstrated ability to manage large-scale engineering portfolios with strategic and operational complexity.
- People Management: Yes
