Executive Director Architecture & Advanced AI Engineering

Labcorp is a global leader in laboratory services providing the insights and answers that help healthcare providers patients researchers pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science data technology and laboratory network we advance diagnostics accelerate innovation and help address some of the worlds most important health challenges. As we shape the future of healthcare we are leveraging advanced technologies intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise youll have the opportunity to do meaningful work grow your career and make a real impact on peoples health around the world. Together were improving health and improving lives.

• Define and lead enterprise and solution architecture strategy establishing scalable secure resilient and reusable architectures and standards that guide platform product AI and integration decisions.
• Build lead and develop high-performing Advanced AI Engineering teams responsible for production AI capabilities including model development agentic solutions retrieval-augmented generation (RAG) and emerging AI technologies.
• Define and execute AI technology strategy and roadmaps evaluating emerging capabilities and translating research experimentation and industry developments into scalable solutions that deliver measurable business value.
• Establish and govern AI quality safety security and responsible AI standards across the development and deployment lifecycle including appropriate validation monitoring and risk controls.
• Develop enterprise quality engineering and observability practices including testing frameworks automated validation performance monitoring and quality indicators that improve reliability and production readiness.
• Advance cloud-first engineering and platform capabilities through scalable architecture DevOps/SRE practices backend engineering standards high availability and cost-conscious technology decisions.
• Partner with business and technology leaders to simplify processes translate business needs into effective technology solutions and ensure architectural decisions align with enterprise priorities.
• Establish and promote architecture standards technical documentation reference designs and playbooks that enable consistent adoption of engineering and technology best practices across teams.
• Influence senior stakeholders and facilitate decisions across complex initiatives resolving architectural trade-offs competing priorities risks and cross-functional dependencies.
• Drive engineering and delivery excellence through measurable quality standards disciplined planning improved predictability and continuous improvement practices.

• Bachelors degree
• 15 or more years of progressive experience in data analytics cloud technology platform engineering AI or digital transformation including leadership of large-scale enterprise technology initiatives.
• 10 or more years of experience in people leadership including responsibility for multidisciplinary teams organizational strategy execution operational performance talent development and budget management.
• 10 or more years of experience defining and executing enterprise data analytics AI cloud or technology transformation strategies within large complex or highly regulated organizations.
• 10 or more years of experience leading enterprise-scale modernization initiatives involving cloud platforms data ecosystems enterprise architecture AI/ML capabilities and mission-critical technology services.
• 10 or more years of experience partnering with executive and C-suite stakeholders to align technology strategy and investments with business priorities lead organizational change manage risk and deliver measurable business outcomes.
• 10 or more years of experience with data governance privacy security regulatory compliance and responsible AI principles within healthcare or other highly regulated environments.

• MBA Computer Science Data Science Engineering Information Technology Business Administration.
• 10 or more years of experience in healthcare diagnostics life sciences pharmaceutical or other highly regulated industries

• Enterprise Architecture & Systems Design: Demonstrated ability to design and guide large-scale distributed enterprise architectures that balance business requirements scalability reliability security maintainability and operational needs.
• AI Engineering & AI/ML Foundations: Deep knowledge of AI/ML engineering including model development and evaluation data pipelines production deployment performance monitoring and enterprise-scale AI solutions.
• AI Quality Safety & Governance: Demonstrated ability to establish quality validation safety security monitoring and governance practices that support responsible and reliable AI solutions.
• Agentic AI & RAG: Advanced knowledge of agentic architectures orchestration patterns retrieval-augmented generation and controls supporting reliable AI interactions with enterprise systems and users.
• Platform & Backend Engineering: Strong understanding of reusable platforms APIs backend services data stores and engineering patterns that enable scalable capabilities and reduce duplication across technology teams.
• Cloud DevOps & Reliability Engineering: Advanced knowledge of cloud-native architecture managed services CI/CD infrastructure automation observability incident management and cost-effective production operations.
• Technology Strategy & Foresight: Demonstrated ability to evaluate emerging AI cloud technology and regulatory trends and translate relevant opportunities and risks into strategic initiatives experiments and technology roadmaps.
• Customer & Business Acumen: Strong ability to understand customer and business needs translate complex workflows and pain points into technology priorities and deliver solutions that support meaningful business outcomes.
• Operational & Delivery Excellence: Demonstrated ability to establish meaningful quality indicators improve delivery predictability streamline processes and drive continuous improvement across complex technology initiatives.
• Ownership & Leadership: Demonstrated ability to assume end-to-end accountability for technology outcomes from strategy and architecture through delivery operations and continuous improvement.
• Stakeholder Influence & Conflict Management: Strong ability to influence senior stakeholders navigate competing priorities and technical trade-offs resolve conflict and build alignment around business-focused decisions.
• Executive Communication: Exceptional written and verbal communication skills with the ability to clearly communicate complex technical strategies risks recommendations and decisions to technical and non-technical audiences.
• Technical Documentation: Demonstrated ability to establish clear architectural documentation standards runbooks and playbooks that promote consistency knowledge sharing and adoption across teams.

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race religion color national origin sex (including pregnancy childbirth or related medical conditions) family or parental status marital civil union or domestic partnership status sexual orientation gender identity gender expression personal appearance age veteran status disability genetic information or any other legally protected characteristic. Additionally all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs or needs an accommodation please visit ouraccessibility siteor contact us atLabcorp Accessibility. Formore information about how we collect and store your personal data please see ourPrivacy Statement.