LabCorp

Executive Director, Chief AI Architect

LabCorp$150K — $200K *
Healthcare
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required; Master's preferred in relevant fields.
  • 15+ years in enterprise architecture, software architecture, or technology leadership.
  • 5+ years in healthcare or regulated industries, focusing on compliance and audit.
  • 5+ years of hands-on AI experience including production and agentic systems.
  • Proven ability to influence technology strategies across executive leadership.

Responsibilities

  • Define and lead enterprise AI architecture strategy and roadmap.
  • Drive AI architecture decisions to enhance business value and scalability.
  • Collaborate with various leaders to integrate AI capabilities into key initiatives.
  • Establish governance for enterprise AI best practices and architectures.
  • Evaluate emerging AI technologies and manage build vs. buy decisions.
  • Ensure AI solutions adhere to security, compliance, and quality requirements.
  • Optimize AI outcomes related to solution quality, efficiency, and costs.
  • Build and lead a high-performing AI architecture organization.

Benefits

  • Medical, Dental, Vision, Life insurance
  • Short-term and Long-term Disability insurance
  • 401(k) plan
  • Paid Time Off or Flexible Time Off
  • Tuition Reimbursement
  • Employee Stock Purchase Plan
Full Job Description
Labcorp is seeking an Executive Director, Chief AI Architect, to join our team at Durham, NC.

Work Schedule: Work Schedule: Durham, NC / Hybrid | Full-time | Reports to: Chief AI Officer | Travel: 40-50%

Job Responsibilities

  • Define and lead Labcorp's enterprise AI architecture strategy, standards, and roadmap.
  • Drive AI architecture decisions across transformation programs, corporate functions, and enterprise platforms to maximize business value, scalability, and sustainability.
  • Partner with business, product, engineering, data, and enterprise architecture leaders to embed AI capabilities into key initiatives.
  • Establish and govern enterprise AI reference architectures, reusable patterns, and best practices for responsible AI adoption.
  • Lead evaluation of emerging AI technologies, platform investments, and build-versus-buy decisions.
  • Ensure AI solutions meet requirements for security, governance, quality, observability, and regulatory compliance.
  • Measure and optimize AI outcomes including solution quality, adoption, operational efficiency, and cost effectiveness.
  • Build and lead a high-performing AI architecture organization while developing AI architecture capabilities across the enterprise.


Minimum Qualifications
  • Bachelor's degree.
  • 15 or more years of experience in enterprise architecture, software architecture, AI/ML architecture, or technology leadership roles.
  • 5 or more years of experience in healthcare, diagnostics, life sciences, pharmaceutical, payer, provider, or other regulated industries supporting solutions involving PII, PHI, compliance, and audit requirements.
  • 5 or more years of hands-on AI experience, including production LLM, agentic, RAG, or AI-assisted development capabilities, with direct experience designing and shipping agentic systems in production
Preferred Qualifications
  • Master's degree in computer science, Artificial Intelligence, Data Science or Engineering
  • 5 or more years of experience designing and implementing enterprise AI platforms, agentic AI systems, retrieval-augmented generation (RAG), and multi-agent architectures.
  • 5 or more years of experience with AI orchestration frameworks, agent protocols, vector databases, and multi-model AI ecosystems.
  • 5 or more years of experience with enterprise knowledge graph platforms, semantic data models, ontologies, or semantic layer architectures.

Additional Job Standards

  • Demonstrated ability to influence enterprise technology strategy through partnerships with Enterprise Architecture, business transformation, and executive leadership teams.
  • Demonstrated expertise evaluating emerging AI technologies, architectural patterns, and platform investments.
  • Ability to establish and drive adoption of enterprise AI standards, reference architectures, and governance practices.
  • Deep knowledge of modern AI architectures, including foundation models, agentic systems, retrieval-augmented generation (RAG), orchestration, evaluation frameworks, safety controls, observability, and production operations.
  • Strong understanding of LLMOps practices, including model and agent lifecycle management, AI quality evaluation, observability, and cost optimization.
  • Strong knowledge of security, privacy, identity, and governance requirements for AI solutions in regulated environments, including PII and PHI protections.
  • Demonstrated ability to assess AI architecture tradeoffs based on business value, scalability, operational risk, production quality, and cost considerations.
  • Recognized contributions to the AI architecture community through industry speaking, publications, advisory councils, or professional organizations.
  • Proven ability to build, mentor, and lead high-performing architecture teams and communities of practice.
  • Strong executive communication and stakeholder management skills across technical and non-technical audiences.


Benefits: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.

About LabCorp

LabCorp is a leading global life sciences company that is deeply integrated in guiding patient care through its comprehensive clinical laboratory and end-to-end drug development services. The company provides diagnostic, drug development and technology-enabled solutions for more than 160 million patient encounters annually.
Learn more about LabCorp
Size
70,000 employees
Market Cap
$20.6 billion
Industry
Net Income
$1.5 billion
Founded
1976
5 Year Trend
+11%
Revenue
$13.9 billion

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