AI Software Developer Jobs in North Carolina
AI Software Developer jobs in North Carolina are in strong demand, with active hiring concentrated in financial technology, life sciences software, and enterprise cloud platforms, and openings at every level from entry-level engineer through principal AI architect. Charlotte, Raleigh, and the Research Triangle are the primary hiring hubs, where companies like Bank of America, IBM, and Lenovo maintain substantial engineering presences. The most sought-after specialties in North Carolina listings include machine learning engineering, natural language processing, and AI-driven data pipeline development. Find a role that fits below and apply directly.
Find AI Software Developer JobsOverview
Showing 5 of 12+ AI Software Developer jobs
Company Summary
Targeted Approach is an ISO 9001:2015-certified Service-Disabled Veteran-Owned Small Business (SDVOSB) providing technical, analytical, logistics, management, and mission support services to customers across the Department of Defense and Federal Government.
Targeted Approach is an Equal Opportunity Employer. Employment decisions are based on qualifications, merit, and mission requirements without regard to legally protected characteristics.
Position Summary
Targeted Approach (TA) is seeking an Intermediate Artificial Intelligence (AI) Engineer to support a Department of Defense program at Marine Corps Air Station (MCAS) Cherry Point, North Carolina. The Intermediate AI Engineer will provide hands-on technical expertise in artificial intelligence engineering, machine learning model development, cloud engineering, systems deployment, automation, security compliance, performance monitoring, quality assurance, and technical support.
The successful candidate will bridge data science, artificial intelligence, cloud technologies, and software engineering to design, develop, test, deploy, and sustain production-ready AI/ML solutions. This position will support the transition of AI capabilities from development and experimentation into reliable, secure, and scalable operational environments.
Duties
- Design, build, test, evaluate, and deploy machine learning models and artificial intelligence applications that automate tasks, improve business and operational processes, and address complex technical problems.
- Apply data science and software engineering principles to develop production-ready AI/ML systems capable of operating reliably within DoD environments.
- Develop and maintain software, scripts, data pipelines, and AI/ML solutions using Python, SQL, and other applicable programming and query languages.
- Develop AI/ML solutions using frameworks and libraries such as TensorFlow, PyTorch, or comparable technologies.
- Design, build, configure, and deploy AI applications and supporting infrastructure within cloud environments such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or similar platforms.
- Design, build, configure, and maintain virtualized and cloud-based systems supporting organizational data, applications, AI capabilities, and infrastructure.
- Support the migration and modernization of on-premises applications, data, and systems to cloud-based environments.
- Develop and implement automation for cloud infrastructure, data pipelines, AI/ML workflows, deployment processes, and recurring technical activities to improve efficiency, scalability, repeatability, and reliability.
- Support applicable DoD cybersecurity, information assurance, and security compliance requirements for AI, cloud, and virtualized environments.
- Monitor AI models, applications, systems, and cloud environments to evaluate performance, scalability, reliability, availability, and operational effectiveness.
- Troubleshoot technical issues associated with AI/ML applications, cloud environments, data pipelines, interfaces, and deployed systems.
- Perform testing, validation, documentation, configuration management, and quality assurance activities throughout the AI/ML development and deployment lifecycle.
- Collaborate with data analysts, software developers, cloud engineers, cybersecurity personnel, Government stakeholders, and other technical SMEs to translate operational requirements into effective technical solutions.
- Develop and maintain technical documentation supporting system architecture, AI/ML models, cloud configurations, interfaces, deployment procedures, automation, testing, and sustainment.
Experience
- Demonstrated experience designing, building, testing, and deploying machine learning models and artificial intelligence applications.
- Experience integrating data science and software engineering concepts to create production-ready AI systems.
- Experience programming and querying using Python and SQL.
- Experience using AI/ML frameworks such as TensorFlow, PyTorch, or similar tools.
- Experience designing, building, and deploying AI systems within AWS, Azure, GCP, or comparable cloud platforms.
- Experience designing, building, and maintaining virtualized and cloud-based environments supporting enterprise data, applications, and infrastructure.
- Experience supporting the migration of on-premises systems and applications to cloud environments.
- Experience automating cloud, infrastructure, data, and AI/ML processes.
- Experience supporting cybersecurity and security compliance requirements applicable to AI, cloud, and virtualized environments.
- Experience monitoring and optimizing system, model, application, and cloud performance to support scalability, reliability, and operational effectiveness.
Education Requirements
No degree requires 12 years of general experience
Associate's degree requires 8 years of general experience
Bachelor's degree 7 years of general experience
Master's degree 6 years of general experience
Ph.D. 4 years of general experience
Relevant degrees may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Computer Engineering, Information Technology, Information Systems, or another related technical discipline.
Preferred Qualifications
- MLOps and AI/ML lifecycle management.
- DevSecOps and CI/CD pipelines.
- Infrastructure as Code (IaC) and automated cloud provisioning.
- Docker, Kubernetes, or other containerization/orchestration technologies.
- Cloud-native data storage, processing, and analytics services.
- REST APIs and integration of AI/ML capabilities with enterprise applications.
- Model versioning, validation, monitoring, retraining, and performance optimization.
- Git or comparable source-code/configuration management tools.
- DoD cloud environments and cloud security requirements.
- Risk Management Framework (RMF), Security Technical Implementation Guides (STIGs), or other DoD cybersecurity requirements.
- Working within DoD, Department of the Navy, or U.S. Marine Corps technical environments.
- Supporting AI/ML capabilities through development, testing, deployment, operation, and sustainment
Join us if you’re passionate about harnessing the power of artificial intelligence to transform data into impactful insights! We value innovative thinkers eager to develop next-generation AI models that shape the future of technology-driven solutions.
Pay: $110,000.00 - $130,000.00 per year
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Referral program
- Vision insurance
Education:
- Bachelor's (Preferred)
Experience:
- AI/ ML solutions: 7 years (Required)
Security clearance:
- Secret (Required)
Ability to Commute:
- Cherry Point, NC 28533 (Required)
Work Location: In person
Company Summary
Targeted Approach is an ISO 9001:2015-certified Service-Disabled Veteran-Owned Small Business (SDVOSB) providing technical, analytical, logistics, management, and mission support services to customers across the Department of Defense and Federal Government.
Targeted Approach is an Equal Opportunity Employer. Employment decisions are based on qualifications, merit, and mission requirements without regard to legally protected characteristics.
Position Summary
Targeted Approach (TA) is seeking an Intermediate Artificial Intelligence (AI) Engineer to support a Department of Defense program at Marine Corps Air Station (MCAS) Cherry Point, North Carolina. The Intermediate AI Engineer will provide hands-on technical expertise in artificial intelligence engineering, machine learning model development, cloud engineering, systems deployment, automation, security compliance, performance monitoring, quality assurance, and technical support.
The successful candidate will bridge data science, artificial intelligence, cloud technologies, and software engineering to design, develop, test, deploy, and sustain production-ready AI/ML solutions. This position will support the transition of AI capabilities from development and experimentation into reliable, secure, and scalable operational environments.
Duties
- Design, build, test, evaluate, and deploy machine learning models and artificial intelligence applications that automate tasks, improve business and operational processes, and address complex technical problems.
- Apply data science and software engineering principles to develop production-ready AI/ML systems capable of operating reliably within DoD environments.
- Develop and maintain software, scripts, data pipelines, and AI/ML solutions using Python, SQL, and other applicable programming and query languages.
- Develop AI/ML solutions using frameworks and libraries such as TensorFlow, PyTorch, or comparable technologies.
- Design, build, configure, and deploy AI applications and supporting infrastructure within cloud environments such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or similar platforms.
- Design, build, configure, and maintain virtualized and cloud-based systems supporting organizational data, applications, AI capabilities, and infrastructure.
- Support the migration and modernization of on-premises applications, data, and systems to cloud-based environments.
- Develop and implement automation for cloud infrastructure, data pipelines, AI/ML workflows, deployment processes, and recurring technical activities to improve efficiency, scalability, repeatability, and reliability.
- Support applicable DoD cybersecurity, information assurance, and security compliance requirements for AI, cloud, and virtualized environments.
- Monitor AI models, applications, systems, and cloud environments to evaluate performance, scalability, reliability, availability, and operational effectiveness.
- Troubleshoot technical issues associated with AI/ML applications, cloud environments, data pipelines, interfaces, and deployed systems.
- Perform testing, validation, documentation, configuration management, and quality assurance activities throughout the AI/ML development and deployment lifecycle.
- Collaborate with data analysts, software developers, cloud engineers, cybersecurity personnel, Government stakeholders, and other technical SMEs to translate operational requirements into effective technical solutions.
- Develop and maintain technical documentation supporting system architecture, AI/ML models, cloud configurations, interfaces, deployment procedures, automation, testing, and sustainment.
Experience
- Demonstrated experience designing, building, testing, and deploying machine learning models and artificial intelligence applications.
- Experience integrating data science and software engineering concepts to create production-ready AI systems.
- Experience programming and querying using Python and SQL.
- Experience using AI/ML frameworks such as TensorFlow, PyTorch, or similar tools.
- Experience designing, building, and deploying AI systems within AWS, Azure, GCP, or comparable cloud platforms.
- Experience designing, building, and maintaining virtualized and cloud-based environments supporting enterprise data, applications, and infrastructure.
- Experience supporting the migration of on-premises systems and applications to cloud environments.
- Experience automating cloud, infrastructure, data, and AI/ML processes.
- Experience supporting cybersecurity and security compliance requirements applicable to AI, cloud, and virtualized environments.
- Experience monitoring and optimizing system, model, application, and cloud performance to support scalability, reliability, and operational effectiveness.
Education Requirements
No degree requires 12 years of general experience
Associate's degree requires 8 years of general experience
Bachelor's degree 7 years of general experience
Master's degree 6 years of general experience
Ph.D. 4 years of general experience
Relevant degrees may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Computer Engineering, Information Technology, Information Systems, or another related technical discipline.
Preferred Qualifications
- MLOps and AI/ML lifecycle management.
- DevSecOps and CI/CD pipelines.
- Infrastructure as Code (IaC) and automated cloud provisioning.
- Docker, Kubernetes, or other containerization/orchestration technologies.
- Cloud-native data storage, processing, and analytics services.
- REST APIs and integration of AI/ML capabilities with enterprise applications.
- Model versioning, validation, monitoring, retraining, and performance optimization.
- Git or comparable source-code/configuration management tools.
- DoD cloud environments and cloud security requirements.
- Risk Management Framework (RMF), Security Technical Implementation Guides (STIGs), or other DoD cybersecurity requirements.
- Working within DoD, Department of the Navy, or U.S. Marine Corps technical environments.
- Supporting AI/ML capabilities through development, testing, deployment, operation, and sustainment
Join us if you’re passionate about harnessing the power of artificial intelligence to transform data into impactful insights! We value innovative thinkers eager to develop next-generation AI models that shape the future of technology-driven solutions.
Pay: $110,000.00 - $130,000.00 per year
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Referral program
- Vision insurance
Education:
- Bachelor's (Preferred)
Experience:
- AI/ ML solutions: 7 years (Required)
Security clearance:
- Secret (Required)
Ability to Commute:
- Cherry Point, NC 28533 (Required)
Work Location: In person
See All 12 AI Software Developer Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find AI Software Developer JobsAI Software Developer Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
AI Software Developer 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 software developer jobs across North Carolina.
- Bachelor's or master's degree in computer science, artificial intelligence, or a related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing and deploying large language models or generative AI applications
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for AI workloads
- Ability to collaborate with cross-functional teams on model integration and production pipelines
- Strong understanding of MLOps practices including model versioning, monitoring, and CI/CD workflows
AI Software Developer Jobs in North Carolina: Frequently Asked Questions
How do you become a ai software developer in North Carolina?
AI software developer roles in North Carolina do not require a state-issued license, so the path runs through education and demonstrated technical skill. Most employers expect at least a bachelor's degree in computer science, data science, or a closely related field, though master's graduates are increasingly competitive at Research Triangle and Charlotte employers. Building a portfolio of AI or machine learning projects, contributing to open-source work, and earning vendor certifications from AWS or Google Cloud all strengthen a North Carolina application significantly.
How much do AI software developers make in North Carolina?
AI software developers in North Carolina earn a median of about $134,710 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,840 for the lowest 10% to over $179,310 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai software developers in North Carolina?
Employers hiring ai software developers in North Carolina right now include AT&T, Humana, and Lenovo, based on current listings on Migrate Mate as of September 2026. North Carolina's concentration of financial services firms in Charlotte and life sciences and technology companies in the Research Triangle means demand is broad and consistent across multiple industries.
Which North Carolina cities have the most ai software developer jobs?
Charlotte, Raleigh, and Morrisville are the North Carolina cities with the most ai software developer openings. Raleigh and the surrounding Research Triangle area lead because of the dense cluster of technology companies, university research partnerships, and life sciences firms headquartered there, while Charlotte's large financial services sector drives steady demand for AI talent focused on fraud detection, risk modeling, and customer analytics.
Are there remote ai software developer jobs in North Carolina?
Yes, and more than most fields. About 67% of ai software developer openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how thoroughly software development has shifted toward distributed work. Model development, research engineering, and data pipeline roles are the most likely to be fully remote, while positions that require close collaboration with hardware or on-site lab environments tend to require in-person presence.
How can I get hired as a ai software developer in North Carolina with little or no experience?
The most realistic entry path is an associate or junior ML engineer role, which North Carolina employers like Red Hat, SAS Institute, and large Charlotte-area banks regularly post for new graduates. SAS Institute runs graduate development programs specifically oriented toward early-career data and AI practitioners in Cary. Building a public GitHub portfolio with end-to-end machine learning projects and pursuing an entry-level cloud certification from AWS or Google Cloud gives candidates a measurable edge over applicants with similar educational backgrounds but no demonstrated project work.
Where can I find and apply to ai software developer jobs in North Carolina?
You can find and apply to ai software developer jobs in North Carolina on Migrate Mate, which lists current North Carolina openings from employers actively hiring right now. Find roles that fit your experience and location and apply directly to the ones that match.
See All 12 AI Software Developer Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find AI Software Developer Jobs