AI Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's AI engineering market is concentrated in the Research Triangle, where companies like Red Hat, Cisco, and SAS Institute, along with major universities and a growing biotech corridor, drive consistent demand. Charlotte's expanding fintech and banking sector adds another hiring center for international AI engineers seeking visa sponsorship.
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Get Access To All JobsABOUT COGNIZANT CONSULTING
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with advanced technology capabilities, we deliver transformative solutions to Fortune 500 clients.
ABOUT THE ROLE
As a Senior Manager – AI Engineer, you will play a critical hands-on leadership role in designing, building, and scaling enterprise-grade AI solutions. You will focus on LLM-powered systems, retrieval-augmented generation (RAG), and emerging agentic workflows, translating advanced AI concepts into production-ready applications.
You will be a key member of the AI & Data Consulting team, working closely with architects, clients, and engineering teams to deliver high-quality, scalable AI solutions that drive measurable business outcomes. In this role, you will:
- Design, develop, and deploy enterprise-grade AI/LLM solutions, including context handling, memory patterns, and prompt engineering strategies
- Build and optimize RAG pipelines, including embeddings, retrieval strategies, re-ranking, and evaluation frameworks for quality and performance
- Lead the development of agentic workflows and AI-powered applications, integrating APIs, enterprise tools, and data systems with appropriate guardrails
- Collaborate with architects and business stakeholders to integrate AI solutions with enterprise platforms (ERP, CRM, data platforms), ensuring security, scalability, and data integrity
- Own end-to-end engineering delivery, including code quality, testing, deployment, and performance optimization
- Provide technical leadership by mentoring junior engineers, conducting code reviews, and driving best practices in AI engineering and MLOps
- Partner with cross-functional teams to ensure alignment of AI solutions with business needs and production readiness standards
WORK MODEL
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this position requires travel as needed and a hybrid work model, with time spent in a client or Cognizant office in the United States. We are committed to supporting a healthy work-life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on project and client requirements.
BASIC QUALIFICATIONS
- 8–12 years of experience in software engineering, AI/ML, or applied AI development, with strong hands-on expertise in Python-based systems
- Proven experience building and deploying LLM applications, including RAG architectures and vector databases
- Hands-on experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalents)
- Strong understanding of prompt engineering, context design, and structured outputs, including security considerations such as prompt injection mitigation
- Experience developing scalable AI systems and APIs in cloud environments (AWS, Azure, or GCP)
- Demonstrated experience leading engineering teams or owning modules/workstreams in a delivery environment
- Strong problem-solving skills and ability to translate business requirements into technical solutions
PREFERRED QUALIFICATIONS
- Experience integrating AI solutions with enterprise systems, identity platforms (SSO/IAM), and secure data environments
- Familiarity with evaluation, observability, and monitoring tools for AI/LLM systems
- Experience with MLOps practices, CI/CD pipelines, and production deployment of AI applications
- Exposure to distributed systems and scalable cloud-native architectures
- Experience working in consulting or client-facing environments
- Advanced degree in Computer Science, Engineering, or related field is a plus
WHY YOU’LL LOVE THIS ROLE
You’ll have the opportunity to work on cutting-edge AI technologies, shape real-world enterprise AI solutions, and grow into broader technical leadership roles while working with a global team of experts.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed.
COMPENSATION
- Salary: $130,000 – $158,500
This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
BENEFITS
- Medical, dental, vision, and life insurance
- 401(k) plan and contributions
- Employee stock purchase plan
- Employee assistance program
- 10 paid holidays plus PTO
- Paid parental leave and fertility assistance
- Learning and development certifications and programs
ABOUT COGNIZANT CONSULTING
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with advanced technology capabilities, we deliver transformative solutions to Fortune 500 clients.
ABOUT THE ROLE
As a Senior Manager – AI Engineer, you will play a critical hands-on leadership role in designing, building, and scaling enterprise-grade AI solutions. You will focus on LLM-powered systems, retrieval-augmented generation (RAG), and emerging agentic workflows, translating advanced AI concepts into production-ready applications.
You will be a key member of the AI & Data Consulting team, working closely with architects, clients, and engineering teams to deliver high-quality, scalable AI solutions that drive measurable business outcomes. In this role, you will:
- Design, develop, and deploy enterprise-grade AI/LLM solutions, including context handling, memory patterns, and prompt engineering strategies
- Build and optimize RAG pipelines, including embeddings, retrieval strategies, re-ranking, and evaluation frameworks for quality and performance
- Lead the development of agentic workflows and AI-powered applications, integrating APIs, enterprise tools, and data systems with appropriate guardrails
- Collaborate with architects and business stakeholders to integrate AI solutions with enterprise platforms (ERP, CRM, data platforms), ensuring security, scalability, and data integrity
- Own end-to-end engineering delivery, including code quality, testing, deployment, and performance optimization
- Provide technical leadership by mentoring junior engineers, conducting code reviews, and driving best practices in AI engineering and MLOps
- Partner with cross-functional teams to ensure alignment of AI solutions with business needs and production readiness standards
WORK MODEL
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this position requires travel as needed and a hybrid work model, with time spent in a client or Cognizant office in the United States. We are committed to supporting a healthy work-life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on project and client requirements.
BASIC QUALIFICATIONS
- 8–12 years of experience in software engineering, AI/ML, or applied AI development, with strong hands-on expertise in Python-based systems
- Proven experience building and deploying LLM applications, including RAG architectures and vector databases
- Hands-on experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalents)
- Strong understanding of prompt engineering, context design, and structured outputs, including security considerations such as prompt injection mitigation
- Experience developing scalable AI systems and APIs in cloud environments (AWS, Azure, or GCP)
- Demonstrated experience leading engineering teams or owning modules/workstreams in a delivery environment
- Strong problem-solving skills and ability to translate business requirements into technical solutions
PREFERRED QUALIFICATIONS
- Experience integrating AI solutions with enterprise systems, identity platforms (SSO/IAM), and secure data environments
- Familiarity with evaluation, observability, and monitoring tools for AI/LLM systems
- Experience with MLOps practices, CI/CD pipelines, and production deployment of AI applications
- Exposure to distributed systems and scalable cloud-native architectures
- Experience working in consulting or client-facing environments
- Advanced degree in Computer Science, Engineering, or related field is a plus
WHY YOU’LL LOVE THIS ROLE
You’ll have the opportunity to work on cutting-edge AI technologies, shape real-world enterprise AI solutions, and grow into broader technical leadership roles while working with a global team of experts.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed.
COMPENSATION
- Salary: $130,000 – $158,500
This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
BENEFITS
- Medical, dental, vision, and life insurance
- 401(k) plan and contributions
- Employee stock purchase plan
- Employee assistance program
- 10 paid holidays plus PTO
- Paid parental leave and fertility assistance
- Learning and development certifications and programs
AI Engineer Job Roles in North Carolina
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Search AI Engineer Jobs in North CarolinaAI Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for AI engineers in North Carolina?
Several large employers in North Carolina have documented H-1B visa sponsorship histories for AI and machine learning roles. SAS Institute in Cary, Red Hat and Cisco in the Research Triangle Park area, and Lenovo's North American headquarters in Morrisville are notable examples. Charlotte-based financial institutions including Bank of America and Wells Fargo also sponsor AI engineers, particularly for applied machine learning and data science functions.
Which visa types are most common for AI engineer roles in North Carolina?
The H-1B is the most common visa for AI engineers in North Carolina, as software and machine learning roles typically qualify as specialty occupations requiring a bachelor's degree or higher in a relevant field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension often transition to H-1B sponsorship. The O-1A is an option for engineers with demonstrated exceptional ability, though the documentation requirements are significantly higher.
Which cities in North Carolina have the most AI engineer sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, and Chapel Hill, accounts for the largest concentration of AI engineering sponsorship activity in the state, driven by Research Triangle Park, three major research universities, and a dense tech and biotech cluster. Charlotte is the second most active market, particularly in fintech and banking AI. Morrisville and Cary, adjacent to RTP, also have meaningful sponsorship activity from enterprise software and hardware firms.
How to find ai engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse AI engineer roles in North Carolina without manually screening each employer. The platform surfaces positions from companies with active sponsorship histories in the state. Given how concentrated North Carolina's AI hiring is in the Research Triangle and Charlotte, filtering by those metro areas on Migrate Mate will return the most relevant results for international candidates.
Are there state-specific factors AI engineers should know about the North Carolina job market?
North Carolina's AI engineering market benefits from proximity to NC State, Duke, and UNC Chapel Hill, which feed a steady pipeline of graduate talent and maintain research partnerships with local employers. This university connection means many sponsoring companies are already familiar with F-1 OPT-to-H-1B transitions. Research Triangle Park hosts over 300 companies, including several with dedicated AI and machine learning teams, making it one of the more internationally experienced hiring environments in the Southeast.
What is the prevailing wage for sponsored ai engineer jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.