Labcorp

Executive Director, AI/ML Engineering

Labcorp

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $200,000 - $300,000 per year

Job Level

Lead

Tech Stack

CloudElasticSearchJavaScriptNode.jsPostgresPythonPyTorchTensorflow

About the role

  • 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.

Hard skills
AI/ML software engineeringhigh-performance computingML frameworksTensorFlowPyTorchprogramming languagesPythonJavaScriptNode.jsDevOps pipelines
Soft skills
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
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