AI Jobs in North Carolina
AI jobs in North Carolina are concentrated in the Research Triangle, Charlotte, and Greensboro, where demand for machine learning engineers, data scientists, and AI product specialists is among the most active in the Southeast. Major employers with a lasting presence in the state include IBM, SAS Institute, and Red Hat, all of which maintain substantial AI and analytics teams across the Triangle. Roles range from associate data scientist positions to senior ML engineering and AI research leads. Scan the live roles below and apply to whichever ones fit.
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The Artificial Intelligence Engineer (AI Engineer) will design, develop, deploy, and integrate machine learning models, AI tools, and other analytics products into Alliance systems and workflows to improve member health, quality of services, and administrative processes. The AI Engineer will help to stand up the foundational platforms and processes that will facilitate development and sustainment of machine learning and artificial intelligence capabilities at Alliance now and into the future.
This position is full-time hybrid. Selected candidate must come into the Home office in Morrisville on Wednesdays, for business meeting as needed, reside within 50 miles of Morrisville North Carolina.
Responsibilities & Duties
Build and Integrate Machine Learning and Artificial Intelligence Solutions
- Collaborate with technical managers and cross-functional teams to design, build, and deploy AI/ML models and solutions to improve care management, patient care decisions, and administrative processes. May include solutions leveraging descriptive analytics, predictive analytics, large-language models (LLMs), generative AI tools (GenAI), or prescriptive tools
- Analyze data, such as medical claims, electronic health records, and care management records, to understand patient care and business processes and identify opportunities for AI/ML to improve processes and care outcomes
- Develop specific analytics problem statements and modeling objectives from broadly defined care management and administrative use cases
- Iteratively develop data pipelines, AI/ML models, and supporting code to address analytics use cases
- Evaluate AI/ML models and tools – both internal (developed at Alliance) and external (developed by third parties) – with evaluation pipelines and appropriate metrics consistent with both modeling objectives and the intended health or process outcomes to be achieved with the tool
- Collaborate with application development, external vendors, and other internal IT teams to deploy and sustain AI/ML models and tools
- Design and implement model/tool monitoring reports or dashboards to disseminate information about model performance and impacts to stakeholders
Support Development of Platforms and Internal Processes for AI/ML Projects
- Collaborate with AI and IT leaders to establish and refine internal processes to govern development, evaluation, deployment, and sustainment of AI/ML tools
- Contribute to development of iternal and/or cloud-based infrastructure for development, evaluation, deployment, and monitoring of AI/ML tools
- Develop reusable resources, such as internal data processing or modeling libraries and reusable features, for use across AI/ML initiatives
- Adhere to all laws, regulations, internal policies, and ethical guidelines related to patient privacy, confidentiality, information security, etc., while developing AI/ML solutions
Communication and Collaboration
- Collaborate with cross-functional teams, including both technical and non-technical personnel, to execute AI/ML initiatives
- Communicate with subject matter experts within various functions inside Alliance to understand existing business processes, values, goals, opportunities, and constraints that will guide AI/ML development, integration, and evaluation
- Present results of analysis, model/tool evaluations, recommendations, etc., to technical and non-technical stakeholders
- Provide honest assessments of models, tools, AI/ML opportunities, and progress toward project goals to supervisors, collaborators, and other stakeholders within Alliance
- Support efforts to share knowledge about AI/ML tools, case studies, impacts, and opportunities internally across Alliance and, as deemed appropriate, with outside groups such as through industry group meetings
Continuous Learning and Professional Development
- Stay up to date on relevant AI and ML software, tools, modeling techniques, etc.
- Maintain awareness of AI/ML advances and use cases specifically relevant to managed care and other key Alliance functions
Minimum Requirements
Education and Experience
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field and three (3) years of experience developing and deploying software, machine learning, and/or artificial intelligence tools in a professional setting, including:
- Data wrangling and exploratory analysis of complex, real-world data
- Iterative development and evaluation of artificial intelligence and machine learning models
- Deployment, integration, and monitoring of AI/ML models and/or third-party AI/ML tools into production environment for internal or external use
Professional experience collaborating with non-technical stakeholders and/or users to define analytics problems based on open-ended business problem statements, interpret data and analyses, scope modeling activities, and evaluate AI or machine learning performance in the context of business outcomes.
At least two (2) years of experience with Python and relevant libraries for data analysis, machine learning, and AI, such as pandas, Keras, and LangChain.
Preferred:
Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field.
Specific experience working with generative AI and large language models (LLMs).
Specific experience with medical claims, electronic health records, and other semi-structured medical data.
Experience using Azure Machine Learning, Azure AI Services and/or Databricks (e.g., Mosaic AI, AutoML).
Knowledge, Skills, & Abilities
- Strong technical expertise in AI/ML algorithms, data modeling, and data engineering.
- Fluency with Python and relevant libraries such as pandas, Keras, LangChain, etc.
- Ability to work with both structured (tabular) and unstructured (text, imagery, etc.) data sources for analysis and modeling.
- Good verbal and written communication skills, including the ability to explain analysis results and AI/ML modeling concepts, modeling approaches, and performance.
- Excellent analytical thinking, data analysis, and data visualization skills
- Experience with version control tools (e.g., git) and project management tools (e.g., Azure DevOps)
- Knowledge of medical claims data, electronic health records, and/or other healthcare-specific data sources
- Experience with large language models (LLMs) and generative AI models (GenAI), such as Llama and gpt-oss
- Experience with Azure Machine Learning, Azure AI Services, Databricks and/or comparable services
- Proficiency with SQL for querying structured data from relational databases
Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range$107,607-$137,198/Annually
An excellent fringe benefit package accompanies the salary, which includes:
- Medical, Dental, Vision, Life, Long Term Disability
- Generous retirement savings plan
- Flexible work schedules including hybrid/remote options
- Paid time off including vacation, sick leave, holiday, management leave
- Dress flexibility
Education
Required- Bachelors or better in Computer Science
- Bachelors or better in Engineering
- Bachelors or better in Mathematics
- Bachelors or better in Statistics
- Masters or better in Computer Science
- Masters or better in Engineering
- Masters or better in Mathematics
- Masters or better in Statistics
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
The Artificial Intelligence Engineer (AI Engineer) will design, develop, deploy, and integrate machine learning models, AI tools, and other analytics products into Alliance systems and workflows to improve member health, quality of services, and administrative processes. The AI Engineer will help to stand up the foundational platforms and processes that will facilitate development and sustainment of machine learning and artificial intelligence capabilities at Alliance now and into the future.
This position is full-time hybrid. Selected candidate must come into the Home office in Morrisville on Wednesdays, for business meeting as needed, reside within 50 miles of Morrisville North Carolina.
Responsibilities & Duties
Build and Integrate Machine Learning and Artificial Intelligence Solutions
- Collaborate with technical managers and cross-functional teams to design, build, and deploy AI/ML models and solutions to improve care management, patient care decisions, and administrative processes. May include solutions leveraging descriptive analytics, predictive analytics, large-language models (LLMs), generative AI tools (GenAI), or prescriptive tools
- Analyze data, such as medical claims, electronic health records, and care management records, to understand patient care and business processes and identify opportunities for AI/ML to improve processes and care outcomes
- Develop specific analytics problem statements and modeling objectives from broadly defined care management and administrative use cases
- Iteratively develop data pipelines, AI/ML models, and supporting code to address analytics use cases
- Evaluate AI/ML models and tools – both internal (developed at Alliance) and external (developed by third parties) – with evaluation pipelines and appropriate metrics consistent with both modeling objectives and the intended health or process outcomes to be achieved with the tool
- Collaborate with application development, external vendors, and other internal IT teams to deploy and sustain AI/ML models and tools
- Design and implement model/tool monitoring reports or dashboards to disseminate information about model performance and impacts to stakeholders
Support Development of Platforms and Internal Processes for AI/ML Projects
- Collaborate with AI and IT leaders to establish and refine internal processes to govern development, evaluation, deployment, and sustainment of AI/ML tools
- Contribute to development of iternal and/or cloud-based infrastructure for development, evaluation, deployment, and monitoring of AI/ML tools
- Develop reusable resources, such as internal data processing or modeling libraries and reusable features, for use across AI/ML initiatives
- Adhere to all laws, regulations, internal policies, and ethical guidelines related to patient privacy, confidentiality, information security, etc., while developing AI/ML solutions
Communication and Collaboration
- Collaborate with cross-functional teams, including both technical and non-technical personnel, to execute AI/ML initiatives
- Communicate with subject matter experts within various functions inside Alliance to understand existing business processes, values, goals, opportunities, and constraints that will guide AI/ML development, integration, and evaluation
- Present results of analysis, model/tool evaluations, recommendations, etc., to technical and non-technical stakeholders
- Provide honest assessments of models, tools, AI/ML opportunities, and progress toward project goals to supervisors, collaborators, and other stakeholders within Alliance
- Support efforts to share knowledge about AI/ML tools, case studies, impacts, and opportunities internally across Alliance and, as deemed appropriate, with outside groups such as through industry group meetings
Continuous Learning and Professional Development
- Stay up to date on relevant AI and ML software, tools, modeling techniques, etc.
- Maintain awareness of AI/ML advances and use cases specifically relevant to managed care and other key Alliance functions
Minimum Requirements
Education and Experience
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field and three (3) years of experience developing and deploying software, machine learning, and/or artificial intelligence tools in a professional setting, including:
- Data wrangling and exploratory analysis of complex, real-world data
- Iterative development and evaluation of artificial intelligence and machine learning models
- Deployment, integration, and monitoring of AI/ML models and/or third-party AI/ML tools into production environment for internal or external use
Professional experience collaborating with non-technical stakeholders and/or users to define analytics problems based on open-ended business problem statements, interpret data and analyses, scope modeling activities, and evaluate AI or machine learning performance in the context of business outcomes.
At least two (2) years of experience with Python and relevant libraries for data analysis, machine learning, and AI, such as pandas, Keras, and LangChain.
Preferred:
Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field.
Specific experience working with generative AI and large language models (LLMs).
Specific experience with medical claims, electronic health records, and other semi-structured medical data.
Experience using Azure Machine Learning, Azure AI Services and/or Databricks (e.g., Mosaic AI, AutoML).
Knowledge, Skills, & Abilities
- Strong technical expertise in AI/ML algorithms, data modeling, and data engineering.
- Fluency with Python and relevant libraries such as pandas, Keras, LangChain, etc.
- Ability to work with both structured (tabular) and unstructured (text, imagery, etc.) data sources for analysis and modeling.
- Good verbal and written communication skills, including the ability to explain analysis results and AI/ML modeling concepts, modeling approaches, and performance.
- Excellent analytical thinking, data analysis, and data visualization skills
- Experience with version control tools (e.g., git) and project management tools (e.g., Azure DevOps)
- Knowledge of medical claims data, electronic health records, and/or other healthcare-specific data sources
- Experience with large language models (LLMs) and generative AI models (GenAI), such as Llama and gpt-oss
- Experience with Azure Machine Learning, Azure AI Services, Databricks and/or comparable services
- Proficiency with SQL for querying structured data from relational databases
Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range$107,607-$137,198/Annually
An excellent fringe benefit package accompanies the salary, which includes:
- Medical, Dental, Vision, Life, Long Term Disability
- Generous retirement savings plan
- Flexible work schedules including hybrid/remote options
- Paid time off including vacation, sick leave, holiday, management leave
- Dress flexibility
Education
Required- Bachelors or better in Computer Science
- Bachelors or better in Engineering
- Bachelors or better in Mathematics
- Bachelors or better in Statistics
- Masters or better in Computer Science
- Masters or better in Engineering
- Masters or better in Mathematics
- Masters or better in Statistics
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
See All 7 AI Jobs in North Carolina
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Where North Carolina roles are concentrated, by current openings.
AI Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
What North Carolina Employers Look For
The qualifications that appear most often in AI jobs across North Carolina.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience building, training, and deploying predictive models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI workloads
- Strong communication skills to present model findings to non-technical stakeholders
- Experience with data pipeline tools and version control systems such as Git
AI Jobs in North Carolina: Frequently Asked Questions
How do you become a ai in North Carolina?
There is no state-issued license required to work in AI in North Carolina. The typical path starts with a bachelor's degree in computer science, applied mathematics, or a closely related field, followed by a master's degree for more research-oriented roles. Employers in the Research Triangle and Charlotte strongly favor candidates with demonstrated project experience, whether through graduate research, internships at North Carolina universities, or open-source contributions showing applied machine learning work.
Which companies hire ais in North Carolina?
Employers hiring ais in North Carolina right now include Coca-Cola Consolidated, Corning, and Wells Fargo, based on current listings on Migrate Mate as of September 2026. North Carolina's Research Triangle, anchored by the universities and the SAS Institute headquarters in Cary, has long drawn enterprise technology and analytics employers that maintain active AI hiring pipelines year-round.
Which North Carolina cities have the most ai jobs?
Charlotte, Wilson, and Raleigh have the most ai openings in North Carolina. The Research Triangle, which includes Raleigh, Durham, and the surrounding region, drives the largest share of demand thanks to the concentration of technology companies, SAS Institute, and major university research programs, while Charlotte's growing financial technology and professional services sector anchors hiring in the western part of the state.
Are there remote ai jobs in North Carolina?
Yes, and more than most fields. About 100% of ai openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how much of the work involves modeling, code development, and analysis that does not require an on-site presence. Research-heavy and production-engineering roles are slightly more likely to require regular in-person collaboration, while data science and machine learning engineering positions are among the most commonly offered on a fully remote basis.
How can I get hired as a ai in North Carolina with little or no experience?
The most realistic entry path is through a graduate assistantship or research role at North Carolina State University, UNC-Chapel Hill, or Duke, where AI lab positions build the applied portfolio employers look for. Large North Carolina employers including SAS Institute and IBM run associate data scientist and new-grad engineering programs. Adjacent roles such as data analyst or business intelligence developer at mid-size Triangle companies are also a common first step, with internal transfers into AI teams once candidates demonstrate modeling skills.
Where can I find and apply to ai jobs in North Carolina?
You can find and apply to ai jobs in North Carolina on Migrate Mate, which lists current openings tied to North Carolina employers and remote roles based there. Search by city or role type to see what fits your experience level, then apply directly to the positions that match.
See All 7 AI Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
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