Senior Level Enterprise Systems Engineer Jobs
Senior level enterprise systems engineer jobs place experienced engineers at the center of enterprise architecture decisions, systems integration leadership, and the cross-functional teams that deliver at scale. Openings are concentrated across Technology & Software, Manufacturing, and Energy, with a mix of on-site, hybrid, and remote roles, and employers like Schneider Electric, Apple, and KBR hiring at this level now.
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Labcorp is seeking a VP, AI Center of Excellence (CoE), Enterprise Systems to join our team in Durham, NC.
Location: Durham, NC.
Applicants who live within 35 miles of Durham, NC location will follow a hybrid schedule. This schedule includes a minimum of three in office days per week in Durham, supporting both collaboration and flexibility.
Work Schedule: This is a full‑time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. EST.
Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.
Job Responsibilities
- Provide strategic and operational leadership for the AI Center of Excellence (CoE) within Enterprise Systems.
- Lead execution of transformational and operational AI initiatives aligned to enterprise and business objectives.
- Partner with senior business and IT stakeholders to translate business needs into scalable AI solutions.
- Lead and manage a team of AI Architects and AI Engineers, driving engineering excellence and delivery consistency.
- Own the end‑to‑end AI delivery lifecycle, including ideation, intake management, use case identification, evaluation, prioritization, design, development, deployment, and lifecycle management.
- Establish structured intake, evaluation, and prioritization frameworks aligned to enterprise priorities and business value.
- Partner with Enterprise AI Architecture and IT teams to ensure alignment with enterprise tools, standards, and best practices.
- Ensure AI solutions comply with enterprise architecture, security, governance, and technology standards.
- Oversee architecture, design, and implementation of AI solutions to ensure scalability, performance, and reliability.
- Coordinate with Project Delivery Managers and Delivery CoE teams to ensure integration of AI and non‑AI solution components.
- Collaborate with development and QA teams on solution components such as UI/UX and data engineering.
- Build, mentor, and develop high‑performing AI teams, including defining performance goals and development plans.
- Lead talent strategy for AI teams, including recruitment, retention, and career development.
- Provide executive oversight of vendor relationships across consulting, services, and delivery partners.
- Manage multiple delivery engagement models, including services‑based, outcome‑based, and staff augmentation.
- Ensure vendor‑delivered solutions align with enterprise standards, timelines, and expected outcomes.
- Drive delivery excellence through scalable processes, reuse of AI capabilities, and continuous improvement initiatives.
- Provide executive reporting, risk management, and issue resolution for AI initiatives.
- Act as an enterprise AI advocate, driving adoption, change management, and integration of AI into business processes.
Minimum Qualifications
- High school diploma with 19 or more years of experience in enterprise technology delivery, data, analytics, or AI initiatives; or Associate degree with 17 or more years of experience; or Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a technical field with 15 or more years of experience; or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a technical field with 13 or more years of experience
- 15 or more years of experience leading enterprise technology delivery initiatives, including data, analytics, or AI programs
- 5 or more years of experience building and leading teams of AI architects, engineers, or data professionals
- 10 or more years of experience owning end‑to‑end solution delivery lifecycles, including ideation, design, development, deployment, and lifecycle management
- 10 or more years of experience managing vendor relationships and delivering solutions using services‑based, outcome‑based, or staff augmentation engagement models
Preferred Qualifications
- Master’s degree in Business Administration, Data Science, Artificial Intelligence, or a technical discipline
- 10 or more years of experience in healthcare, diagnostics, life sciences, or biotechnology environments
- 5 or more years of experience working with AI or machine learning technologies, including generative AI, natural language processing, or predictive analytics
- 5 or more years of experience working with enterprise platforms such as AWS, Databricks, Snowflake, or similar cloud and data ecosystems
- 5 or more years of experience applying responsible AI governance frameworks, ethical AI principles, or regulatory compliance standards
- 5 or more years of experience collaborating with AI vendors, startups, research institutions, or innovation partners
Additional Job Standards
Strategic and Business Acumen
- Ability to define and execute enterprise‑level strategies aligned with corporate objectives.
- Understanding of financial and operational drivers to support AI investment prioritization and decision‑making.
- Knowledge of healthcare or life sciences industry dynamics and regulatory environments.
AI and Emerging Technology Expertise
- Understanding of AI and machine learning concepts, including generative AI, large language models, natural language processing, and predictive analytics.
- Familiarity with data ecosystems, model lifecycle management, and AI platforms.
- Awareness of responsible AI principles, explainability, fairness, and compliance considerations.
Leadership and Influence
- Ability to build relationships with executive stakeholders and influence enterprise decision‑making.
- Experience leading cross‑functional teams in matrixed environments.
- Strong executive communication and storytelling capabilities.
Innovation and Transformation
- Ability to identify and prioritize high‑impact AI use cases.
- Experience developing business cases, roadmaps, and implementation strategies.
- Ability to assess feasibility, scalability, and risk of emerging technologies.
Organizational Change and Enablement
- Experience driving enterprise adoption of new technologies and ways of working.
- Ability to support organizational transformation and talent development initiatives.
- Ability to operate in evolving, innovation‑driven environments.
External Ecosystem Engagement
- Understanding of AI vendor landscape, startups, and research ecosystems.
- Ability to build partnerships that accelerate enterprise AI capabilities.
- Up to 25% travel may be required.
About the Role
The VP, AI Center of Excellence (CoE), Enterprise Systems is responsible for operationalizing Labcorp’s enterprise AI‑first strategy and driving the delivery of AI initiatives across Diagnostics, Central Laboratory Services, and Early Development business units. This role owns the end‑to‑end AI delivery portfolio, partnering with senior business and IT stakeholders to implement scalable AI solutions that deliver measurable business outcomes.
Reporting to the SVP, Enterprise Systems, this position leads AI architecture, delivery, and governance within Enterprise Systems while collaborating closely with Enterprise AI Architecture, Security, Infrastructure, and delivery teams. The role ensures AI solutions align with enterprise standards, drives adoption across the organization, and builds high‑performing teams that enable long‑term competitive advantage through AI.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: 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.
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 our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.
Labcorp is seeking a VP, AI Center of Excellence (CoE), Enterprise Systems to join our team in Durham, NC.
Location: Durham, NC.
Applicants who live within 35 miles of Durham, NC location will follow a hybrid schedule. This schedule includes a minimum of three in office days per week in Durham, supporting both collaboration and flexibility.
Work Schedule: This is a full‑time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. EST.
Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.
Job Responsibilities
- Provide strategic and operational leadership for the AI Center of Excellence (CoE) within Enterprise Systems.
- Lead execution of transformational and operational AI initiatives aligned to enterprise and business objectives.
- Partner with senior business and IT stakeholders to translate business needs into scalable AI solutions.
- Lead and manage a team of AI Architects and AI Engineers, driving engineering excellence and delivery consistency.
- Own the end‑to‑end AI delivery lifecycle, including ideation, intake management, use case identification, evaluation, prioritization, design, development, deployment, and lifecycle management.
- Establish structured intake, evaluation, and prioritization frameworks aligned to enterprise priorities and business value.
- Partner with Enterprise AI Architecture and IT teams to ensure alignment with enterprise tools, standards, and best practices.
- Ensure AI solutions comply with enterprise architecture, security, governance, and technology standards.
- Oversee architecture, design, and implementation of AI solutions to ensure scalability, performance, and reliability.
- Coordinate with Project Delivery Managers and Delivery CoE teams to ensure integration of AI and non‑AI solution components.
- Collaborate with development and QA teams on solution components such as UI/UX and data engineering.
- Build, mentor, and develop high‑performing AI teams, including defining performance goals and development plans.
- Lead talent strategy for AI teams, including recruitment, retention, and career development.
- Provide executive oversight of vendor relationships across consulting, services, and delivery partners.
- Manage multiple delivery engagement models, including services‑based, outcome‑based, and staff augmentation.
- Ensure vendor‑delivered solutions align with enterprise standards, timelines, and expected outcomes.
- Drive delivery excellence through scalable processes, reuse of AI capabilities, and continuous improvement initiatives.
- Provide executive reporting, risk management, and issue resolution for AI initiatives.
- Act as an enterprise AI advocate, driving adoption, change management, and integration of AI into business processes.
Minimum Qualifications
- High school diploma with 19 or more years of experience in enterprise technology delivery, data, analytics, or AI initiatives; or Associate degree with 17 or more years of experience; or Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a technical field with 15 or more years of experience; or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a technical field with 13 or more years of experience
- 15 or more years of experience leading enterprise technology delivery initiatives, including data, analytics, or AI programs
- 5 or more years of experience building and leading teams of AI architects, engineers, or data professionals
- 10 or more years of experience owning end‑to‑end solution delivery lifecycles, including ideation, design, development, deployment, and lifecycle management
- 10 or more years of experience managing vendor relationships and delivering solutions using services‑based, outcome‑based, or staff augmentation engagement models
Preferred Qualifications
- Master’s degree in Business Administration, Data Science, Artificial Intelligence, or a technical discipline
- 10 or more years of experience in healthcare, diagnostics, life sciences, or biotechnology environments
- 5 or more years of experience working with AI or machine learning technologies, including generative AI, natural language processing, or predictive analytics
- 5 or more years of experience working with enterprise platforms such as AWS, Databricks, Snowflake, or similar cloud and data ecosystems
- 5 or more years of experience applying responsible AI governance frameworks, ethical AI principles, or regulatory compliance standards
- 5 or more years of experience collaborating with AI vendors, startups, research institutions, or innovation partners
Additional Job Standards
Strategic and Business Acumen
- Ability to define and execute enterprise‑level strategies aligned with corporate objectives.
- Understanding of financial and operational drivers to support AI investment prioritization and decision‑making.
- Knowledge of healthcare or life sciences industry dynamics and regulatory environments.
AI and Emerging Technology Expertise
- Understanding of AI and machine learning concepts, including generative AI, large language models, natural language processing, and predictive analytics.
- Familiarity with data ecosystems, model lifecycle management, and AI platforms.
- Awareness of responsible AI principles, explainability, fairness, and compliance considerations.
Leadership and Influence
- Ability to build relationships with executive stakeholders and influence enterprise decision‑making.
- Experience leading cross‑functional teams in matrixed environments.
- Strong executive communication and storytelling capabilities.
Innovation and Transformation
- Ability to identify and prioritize high‑impact AI use cases.
- Experience developing business cases, roadmaps, and implementation strategies.
- Ability to assess feasibility, scalability, and risk of emerging technologies.
Organizational Change and Enablement
- Experience driving enterprise adoption of new technologies and ways of working.
- Ability to support organizational transformation and talent development initiatives.
- Ability to operate in evolving, innovation‑driven environments.
External Ecosystem Engagement
- Understanding of AI vendor landscape, startups, and research ecosystems.
- Ability to build partnerships that accelerate enterprise AI capabilities.
- Up to 25% travel may be required.
About the Role
The VP, AI Center of Excellence (CoE), Enterprise Systems is responsible for operationalizing Labcorp’s enterprise AI‑first strategy and driving the delivery of AI initiatives across Diagnostics, Central Laboratory Services, and Early Development business units. This role owns the end‑to‑end AI delivery portfolio, partnering with senior business and IT stakeholders to implement scalable AI solutions that deliver measurable business outcomes.
Reporting to the SVP, Enterprise Systems, this position leads AI architecture, delivery, and governance within Enterprise Systems while collaborating closely with Enterprise AI Architecture, Security, Infrastructure, and delivery teams. The role ensures AI solutions align with enterprise standards, drives adoption across the organization, and builds high‑performing teams that enable long‑term competitive advantage through AI.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: 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.
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 our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.
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Find JobsSenior Level Enterprise Systems Engineer Job Market
Who's Hiring
- Schneider Electric6
- Apple4
- KBR1
- Okta1
- Adobe1
Top Industries Hiring
- Technology & Software9
- Manufacturing6
- Energy4
- Electronics & Hardware4
- Consulting & Professional Services3
Senior Level Enterprise Systems Engineer Jobs: Frequently Asked Questions
How do I get a senior level enterprise systems engineer job?
Employers at this level look for engineers who have owned end-to-end system design, not just contributed to it. Demonstrating that you have driven architecture decisions, resolved complex integration failures, and mentored junior engineers gives you a clear edge. Tailoring your application to show outcomes you owned, not just tasks you completed, is what separates competitive candidates at the senior level.
Which companies hire senior level enterprise systems engineers?
Companies hiring senior level enterprise systems engineers right now include Schneider Electric, Apple, and KBR, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to come from large enterprises, technology consultancies, and organizations running complex multi-platform infrastructure that requires experienced engineering leadership.
Are there remote senior level enterprise systems engineer jobs?
Yes, though availability varies by employer and systems environment. About 13% of senior level enterprise systems engineer openings are remote or hybrid as of July 2026, reflecting ongoing flexibility in how organizations staff experienced engineers. Roles tied to on-premise infrastructure or sensitive government systems are more likely to require on-site presence.
What makes an enterprise systems engineer role senior level?
Senior level roles are defined by ownership and scope, not just technical skill. Expectations shift from executing assigned work to setting technical direction, making architecture calls with organization-wide consequences, and being accountable for system reliability and performance. Mentoring less experienced engineers and partnering with product, security, and business stakeholders are core responsibilities at this stage, not optional additions.
Which industries hire the most senior level enterprise systems engineers?
Senior level enterprise systems engineer roles concentrate in Technology & Software, Manufacturing, and Energy, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they operate large, complex technology environments where experienced systems engineers are needed to maintain reliability, lead modernization efforts, and integrate systems across distributed infrastructure.