Executive Director, Chief AI Architect

Labcorp is a global leader in laboratory services, providing insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies, and health systems make confident decisions and improve outcomes. Through unparalleled science, data, technology, and a global laboratory network, we advance diagnostics, accelerate innovation, and address critical health challenges. This role is based in Durham, NC, with a hybrid work schedule.

About the role

As the Executive Director, Chief AI Architect, you will define and lead Labcorp's enterprise AI architecture strategy, standards, and roadmap. You will drive AI architecture decisions across transformation programs, corporate functions, and enterprise platforms to maximize business value, scalability, and sustainability. This position reports to the Chief AI Officer and involves 40-50% travel.

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.

Requirements

• 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.

Skills

• Demonstrated ability to influence enterprise technology strategy through partnerships with Enterprise Architecture, business transformation, and executive leadership teams.
• 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, and Vision insurance.
• Life, Short-Term Disability (STD), and Long-Term Disability (LTD) insurance.
• 401(k) retirement plan.
• Paid Time Off (PTO) or Flexible Time Off (FTO).
• Tuition Reimbursement.
• 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.