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Artificial Intelligence Developer Jobs in Raleigh, NC

AI Solutions Engineer

Raleigh, NC · On-site

$121K - $173K/yr

The AI Solutions Engineer will own technical delivery from solution design through deployment ... If you are passionate about artificial intelligence and enjoy solving complex technical challenges ...

The AI Solutions Engineer will own technical delivery from solution design through deployment ... If you are passionate about artificial intelligence and enjoy solving complex technical challenges ...

The AI Solutions Engineer will own technical delivery from solution design through deployment ... If you are passionate about artificial intelligence and enjoy solving complex technical challenges ...

Design Engineering Manager As a Design Engineering Manager, you will oversee the operations of ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Civil Design Engineer

Raleigh, NC · Hybrid

$80K - $125K/yr

AutoCAD Civil 3D * Civil engineering * Site development * Project management * Stormwater ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

DevOps Engineer - Raleigh

Raleigh, NC

$51.25 - $70.25/hr

Versana is looking for a motivated DevOps Engineer to join our Platform Engineering squad. The ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DevOps Engineer - Raleigh

Raleigh, NC · On-site

$51.25 - $70.25/hr

Versana is looking for a motivated DevOps Engineer to join our Platform Engineering squad. The ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Artificial Intelligence Developer information

See Raleigh, NC salary details

$30.4K

$117.3K

$179.3K

How much do artificial intelligence developer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for artificial intelligence developer in Raleigh, NC is $117,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,542.00 and $148,853.00 per year, depending on experience, location, and employer.

How much do AI devs make?

Artificial Intelligence developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools may command higher salaries. Many AI developers also benefit from bonuses, stock options, and benefits based on their employer and level of expertise.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Developer, and why are they important?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by Artificial Intelligence Developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What does an artificial intelligence developer do?

An artificial intelligence developer designs, develops, and implements AI models and algorithms to solve complex problems. They work with machine learning frameworks, programming languages like Python, and data analysis tools to create intelligent systems such as chatbots, recommendation engines, and predictive models. Strong programming skills, knowledge of data structures, and understanding of AI concepts are essential for this role.

What are Artificial Intelligence Developers?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

Which 3 jobs will survive AI?

Artificial Intelligence Developers are likely to continue to find roles in designing, training, and maintaining AI systems, as human oversight and creativity remain essential. Other resilient jobs include healthcare professionals, such as doctors and nurses, and skilled tradespeople like electricians and plumbers, which require hands-on work and complex problem-solving that AI cannot easily replicate.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
What are popular job titles related to Artificial Intelligence Developer jobs in Raleigh, NC? For Artificial Intelligence Developer jobs in Raleigh, NC, the most frequently searched job titles are:
VP, AI Center of Excellence (CoE), Enterprise Systems

VP, AI Center of Excellence (CoE), Enterprise Systems

Labcorp

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,122 frontline employees who took The Breakroom Quiz

81st of 105 rated laboratories


Job description

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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