AI Program Manager Jobs in North Carolina
AI Program Manager jobs in North Carolina are in strong and growing demand, concentrated in technology, defense, financial services, and healthcare sectors, with openings at every level from associate program manager through senior and director-level roles. The heaviest hiring activity runs across the Research Triangle (Raleigh, Durham, and Chapel Hill), Charlotte, and Greensboro, where employers such as IBM, Red Hat, and Bank of America maintain deep AI and technology operations in the state. The most sought-after specialties are AI product lifecycle management, enterprise AI deployment, and cross-functional data platform governance. Find a role that fits below and apply directly.
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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 15 AI Program Manager Jobs in North Carolina
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Find AI Program Manager JobsAI Program Manager Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
AI Program Manager Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Manufacturing
- Technology & Software
- Electronics & Hardware
What North Carolina Employers Look For
The qualifications that appear most often in AI program manager jobs across North Carolina.
- Bachelor's degree in computer science, engineering, or a related technical field required
- Three or more years of program or project management experience in AI or technology environments
- PMP, PMI-ACP, or equivalent project management certification strongly preferred by North Carolina employers
- Demonstrated experience managing cross-functional teams through the full AI model development lifecycle
- Proficiency with agile frameworks, sprint planning, and AI-specific tools such as Jira or Azure DevOps
- Strong stakeholder communication skills bridging technical teams and executive leadership in large organizations
AI Program Manager Jobs in North Carolina: Frequently Asked Questions
How do you become a ai program manager in North Carolina?
The role has no state-issued license in North Carolina, so the path runs through education and credentials. Most employers expect a bachelor's degree in computer science, engineering, or a business-technology field, combined with a recognized project management credential such as the PMP or PMI-ACP. Gaining hands-on experience in AI product teams, data operations, or technology program offices at North Carolina research institutions or large employers is the most concrete way to build a competitive profile.
Which companies hire ai program managers in North Carolina?
Employers hiring ai program managers in North Carolina right now include Lenovo, Coca-Cola Consolidated, and Corning, based on current listings on Migrate Mate as of September 2026. North Carolina's Research Triangle concentration of technology companies, defense contractors, and academic medical centers makes it one of the more active states for this role outside of major coastal tech hubs.
Which North Carolina cities have the most ai program manager jobs?
The cities with the most ai program manager openings in North Carolina are Morrisville, Charlotte, and Wilson. The Research Triangle anchors the bulk of demand through its dense cluster of technology firms, federal agencies, and university-affiliated research operations, while Charlotte draws openings from its large financial services and fintech employers who are actively scaling AI programs.
Are there remote ai program manager jobs in North Carolina?
Yes, and more than most fields, since ai program management is fundamentally a coordination and planning role that travels well across distributed teams. About 75% of ai program manager openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how broadly technology employers in the state have adopted flexible work models. Strategic oversight, stakeholder reporting, and roadmap planning are the functions most commonly performed fully remote.
How can I get hired as a ai program manager in North Carolina with little or no experience?
The most realistic entry path is moving laterally from a technical or analytical role, such as a business analyst, scrum master, or data operations coordinator, within a North Carolina technology company or healthcare system that is actively building out AI capabilities. Large Research Triangle employers and the UNC and NC State university systems run associate program or rotational technology programs that accept candidates without direct AI management experience. Earning a Certified Associate in Project Management credential and contributing to an internal AI pilot or data governance initiative builds a portfolio that offsets limited formal experience.
Where can I find and apply to ai program manager jobs in North Carolina?
You can find and apply to ai program manager jobs in North Carolina on Migrate Mate, which lists current openings across the state. Search for roles that match your experience and location, then apply directly to the ones that fit.
See All 15 AI Program Manager Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
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