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
Build, mentor, and retain a diverse, high-performing engineering team with expertise in AI/ML, data, and platform development
Foster a culture centered on innovation, learning, collaboration, and accountability
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 DevOps best practices
Ensure engineering operations align with global regulatory, security, and ethical AI standards
Requirements
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 (preferred)
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 (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
Benefits
Medical
Dental
Vision
Life
STD/LTD
401(k)
Paid Time Off (PTO) or Flexible Time Off (FTO)
Tuition Reimbursement
Employee Stock Purchase Plan
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
leadershipcommunicationcollaborationexecutive influencingmentoringinnovationaccountabilitystrategic managementoperational managementteam building
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data ScienceMaster’s degree in Computer ScienceMaster’s degree in Data SciencePhD in Computer SciencePhD in Data SciencePhD in MathematicsPhD in Bioinformaticsequivalent experience