AI Platform Engineer Jobs in North Carolina
AI Platform Engineer jobs in North Carolina are in strong demand, concentrated in the technology, financial services, and life sciences sectors, with openings at every level from entry-level ML infrastructure roles through principal and staff engineer positions. Raleigh-Durham, Charlotte, and the Research Triangle Park corridor account for the largest share of hiring, anchored by employers such as Red Hat, Lenovo, and Bank of America. The most sought-after specialties in North Carolina include MLOps pipeline development, large language model deployment infrastructure, and cloud-native AI tooling on AWS and Azure. Find a role that fits below and apply directly.
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Title: Application Production Support Analyst (AI Platform)
Location: Irving, TX (401 W. Colinas Blvd.)
Charlotte, NC (1525 W. WT Harris Blvd.)
Duration: 24 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Hours: 11:00 AM ET to 8:00 PM ET with flexibility to support occasional evening needs. Candidates should be comfortable with an extended support window and occasional after-hours/weekend support (approximately once per month).
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Systems Operations Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Systems Operations Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
We are seeking an experienced Application Production Support Analyst to support a portfolio of AI-driven applications and platform solutions. This role focuses on maintaining the stability, performance, and operational support of innovative AI products and micro front-end applications used across the organization.
The ideal candidate will have a strong production support background, excellent troubleshooting skills, and experience supporting business-critical applications in a fast-paced environment. This is not a software development role. Instead, the focus is on platform support, incident resolution, deployment support, and continuous operational improvement.
Key Responsibilities:
Provide Level 2 application and platform support for AI-enabled solutions and micro front-end applications.
Troubleshoot and resolve production issues, technical failures, and application-related incidents.
Support day-to-day platform operations, ensuring application stability and availability.
Participate in deployments, releases, and post-implementation validation activities.
Investigate failed requests, identify root causes, and coordinate resolution efforts across support and product teams.
Work closely with product partners and stakeholders to understand operational requirements and support needs.
Monitor application health and proactively identify opportunities to improve reliability and support processes.
Support emerging and evolving AI technologies in a rapidly changing environment.
Required Qualifications:
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
4+ years of application production support, platform support, or related technical support experience.
Experience supporting business applications in a production/BAU environment.
Experience troubleshooting complex application issues and driving them to resolution.
Experience supporting application deployments and post-release validation activities.
Strong analytical and problem-solving skills with the ability to adapt to new technologies and changing priorities.
Self-starter with the ability to quickly learn unfamiliar applications and tools independently.
Demonstrated history of stability and longevity in previous roles.
Technical Experience:
MongoDB
Tachyon search technology or similar enterprise search platforms
Salesforce production support and business-as-usual support experience
Experience supporting AI-driven applications or automation platforms
Experience supporting applications that leverage search, knowledge management, or document-processing capabilities
Preferred Qualifications:
Exposure to Amelia or similar automation technologies.
Experience supporting emerging, cutting-edge technologies and platforms.
Knowledge of AI-enabled business applications and operational workflows.
Title: Application Production Support Analyst (AI Platform)
Location: Irving, TX (401 W. Colinas Blvd.)
Charlotte, NC (1525 W. WT Harris Blvd.)
Duration: 24 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Hours: 11:00 AM ET to 8:00 PM ET with flexibility to support occasional evening needs. Candidates should be comfortable with an extended support window and occasional after-hours/weekend support (approximately once per month).
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Systems Operations Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Systems Operations Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
We are seeking an experienced Application Production Support Analyst to support a portfolio of AI-driven applications and platform solutions. This role focuses on maintaining the stability, performance, and operational support of innovative AI products and micro front-end applications used across the organization.
The ideal candidate will have a strong production support background, excellent troubleshooting skills, and experience supporting business-critical applications in a fast-paced environment. This is not a software development role. Instead, the focus is on platform support, incident resolution, deployment support, and continuous operational improvement.
Key Responsibilities:
Provide Level 2 application and platform support for AI-enabled solutions and micro front-end applications.
Troubleshoot and resolve production issues, technical failures, and application-related incidents.
Support day-to-day platform operations, ensuring application stability and availability.
Participate in deployments, releases, and post-implementation validation activities.
Investigate failed requests, identify root causes, and coordinate resolution efforts across support and product teams.
Work closely with product partners and stakeholders to understand operational requirements and support needs.
Monitor application health and proactively identify opportunities to improve reliability and support processes.
Support emerging and evolving AI technologies in a rapidly changing environment.
Required Qualifications:
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
4+ years of application production support, platform support, or related technical support experience.
Experience supporting business applications in a production/BAU environment.
Experience troubleshooting complex application issues and driving them to resolution.
Experience supporting application deployments and post-release validation activities.
Strong analytical and problem-solving skills with the ability to adapt to new technologies and changing priorities.
Self-starter with the ability to quickly learn unfamiliar applications and tools independently.
Demonstrated history of stability and longevity in previous roles.
Technical Experience:
MongoDB
Tachyon search technology or similar enterprise search platforms
Salesforce production support and business-as-usual support experience
Experience supporting AI-driven applications or automation platforms
Experience supporting applications that leverage search, knowledge management, or document-processing capabilities
Preferred Qualifications:
Exposure to Amelia or similar automation technologies.
Experience supporting emerging, cutting-edge technologies and platforms.
Knowledge of AI-enabled business applications and operational workflows.
See All 23 AI Platform Engineer Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
AI Platform Engineer Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
- Consulting & Professional Services
What North Carolina Employers Look For
The qualifications that appear most often in AI platform engineer jobs across North Carolina.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Hands-on experience building and maintaining ML pipelines and model deployment infrastructure
- Proficiency with cloud platforms such as AWS SageMaker, Azure Machine Learning, or Google Vertex AI
- Strong programming skills in Python with experience in orchestration tools like Kubeflow or Apache Airflow
- Familiarity with containerization and Kubernetes for scalable AI workload management
- Experience integrating CI/CD practices into machine learning workflows using tools like MLflow or DVC
AI Platform Engineer Jobs in North Carolina: Frequently Asked Questions
How do you become a ai platform engineer in North Carolina?
AI platform engineer roles in North Carolina do not require a state-issued license or credential. Most employers in the Research Triangle and Charlotte markets hire candidates with a bachelor's degree in computer science, software engineering, or a related field, combined with demonstrated experience in cloud infrastructure and ML tooling. Building a portfolio of deployed ML pipelines, contributing to open-source MLOps projects, and earning cloud certifications from AWS or Azure strengthens candidacy considerably with North Carolina employers.
How much do AI platform engineers make in North Carolina?
AI platform engineers in North Carolina earn a median of about $104,850 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $39,190 for the lowest 10% to over $175,660 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai platform engineers in North Carolina?
Employers hiring ai platform engineers in North Carolina right now include Wells Fargo, The Hartford, and First Citizens Bank, based on current listings on Migrate Mate as of August 2026. North Carolina's concentration of technology companies in the Research Triangle Park area and major financial institutions headquartered in Charlotte makes the state one of the more active markets for this role in the Southeast.
Which North Carolina cities have the most ai platform engineer jobs?
Charlotte, Cary, and Raleigh have the most ai platform engineer openings in North Carolina. Raleigh and Durham dominate because of the dense cluster of technology companies, research universities, and life sciences firms in and around Research Triangle Park, while Charlotte's large financial services and fintech sector drives consistent demand for AI infrastructure talent in that metro.
Are there remote ai platform engineer jobs in North Carolina?
Yes, and more than most fields. AI platform engineering is largely cloud-based and tooling-focused work, making it well-suited to remote arrangements. About 71% of ai platform engineer openings tied to North Carolina are remote or hybrid as of August 2026, reflecting employer flexibility in this discipline. Infrastructure design, pipeline development, and model monitoring tasks are the functions most commonly performed fully remote.
How can I get hired as a ai platform engineer in North Carolina with little or no experience?
The most realistic entry path is joining a North Carolina technology company or large enterprise as a data or software engineer and transitioning into AI platform work once you have exposure to ML workflows. Companies in the Research Triangle Park ecosystem and Charlotte's fintech sector regularly hire new graduates into infrastructure or cloud engineering associate roles that overlap with AI platform responsibilities. Building a portfolio of end-to-end MLOps projects using open-source tools and earning an AWS or Azure cloud practitioner certification gives candidates a concrete edge when applying to these teams.
Where can I find and apply to ai platform engineer jobs in North Carolina?
You can find and apply to ai platform engineer jobs in North Carolina on Migrate Mate, which lists current openings across the state. Search the roles available, find the positions that fit your background and location preference, and apply directly to the ones that match.
See All 23 AI Platform Engineer Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
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