Machine Learning Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's machine learning engineer job market is anchored by Research Triangle Park, where companies like IBM, Cisco, and Red Hat maintain large engineering teams, alongside a growing fintech corridor in Charlotte. Duke University, NC State, and UNC Chapel Hill supply a steady pipeline of ML talent, making the state an active hub for visa sponsorship hiring.
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Get Access To All JobsAt NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.
NTT DATA's Client is seeking a candidate for the following position:
Location: Charlotte, North Carolina, United States of America
Day to Day Job Duties
- Partner with an assigned CIO organization as the primary GenAI engineering lead and translate business priorities into scalable AI solutions.
- Design, develop, test, and deploy production-grade GenAI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI patterns.
- Accelerate high-value use cases through hands-on engineering, rapid prototyping, reusable components, reference architectures, and production solutioning.
- Drive adoption of enterprise AI platforms such as Azure AI, AWS Bedrock, and internal platforms; translate platform capabilities into practical implementation patterns.
- Design secure RAG and agentic workflows using document ingestion, embeddings, vector search, orchestration frameworks, tools/APIs, enterprise data sources, and guardrails.
- Ensure solutions meet enterprise architecture, security, privacy, responsible AI, governance, observability, and production support standards.
- Deliver workshops, training, design reviews, and technical guidance on prompt engineering, RAG, orchestration, LLM application patterns, and platform usage.
- Develop reusable documentation, playbooks, quick-start guides, sample code, and best practices while acting as liaison between centralized AI platform and CIO engineering teams.
Basic Qualifications
- Minimum 8 years of overall software engineering, data engineering, machine learning engineering, or AI solution development experience in enterprise environments.
- Minimum 5 years of hands-on experience designing and delivering machine learning, AI, or data-driven applications using Python and modern software engineering practices.
- Minimum 3 years of hands-on experience building Generative AI / LLM applications, including prompt engineering, model integration, evaluation, and production deployment.
- Minimum 3 years of experience designing and implementing RAG solutions using embeddings, vector search/databases, document processing, retrieval techniques, and grounding patterns.
- Minimum 2 years of experience developing agentic AI or multi-step AI workflows using orchestration frameworks, tool/function calling, APIs, and enterprise integrations.
- Minimum 3 years of experience with cloud AI/ML platforms, including Azure AI / Azure OpenAI, AWS Bedrock, or comparable enterprise AI services.
- Minimum 3 years of experience with cloud-native engineering, CI/CD, containers, observability, security controls, and production deployment practices.
- Minimum 2 years of experience in technical enablement, architecture, consulting, or engineering leadership, including workshops, mentoring, reusable guidance, and application of responsible AI/governance requirements.
Travel: Travel as required based on business and CIO-aligned engagement needs.
Degree: Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or equivalent work experience.
Nice to Have
- Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, or comparable LLM / agent orchestration frameworks.
- Experience with vector technologies such as Azure AI Search, OpenSearch, Pinecone, pgvector, FAISS, or equivalent platforms.
- Experience with LLMOps / MLOps, prompt and model evaluation, AI observability, guardrails, red-teaming, and production quality measurement.
- Experience building reusable GenAI accelerators/reference architectures or delivering AI solutions in highly regulated enterprise environments such as financial services.
About NTT DATA Services
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [$65.67 to $80.11]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits.
At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.
NTT DATA's Client is seeking a candidate for the following position:
Location: Charlotte, North Carolina, United States of America
Day to Day Job Duties
- Partner with an assigned CIO organization as the primary GenAI engineering lead and translate business priorities into scalable AI solutions.
- Design, develop, test, and deploy production-grade GenAI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI patterns.
- Accelerate high-value use cases through hands-on engineering, rapid prototyping, reusable components, reference architectures, and production solutioning.
- Drive adoption of enterprise AI platforms such as Azure AI, AWS Bedrock, and internal platforms; translate platform capabilities into practical implementation patterns.
- Design secure RAG and agentic workflows using document ingestion, embeddings, vector search, orchestration frameworks, tools/APIs, enterprise data sources, and guardrails.
- Ensure solutions meet enterprise architecture, security, privacy, responsible AI, governance, observability, and production support standards.
- Deliver workshops, training, design reviews, and technical guidance on prompt engineering, RAG, orchestration, LLM application patterns, and platform usage.
- Develop reusable documentation, playbooks, quick-start guides, sample code, and best practices while acting as liaison between centralized AI platform and CIO engineering teams.
Basic Qualifications
- Minimum 8 years of overall software engineering, data engineering, machine learning engineering, or AI solution development experience in enterprise environments.
- Minimum 5 years of hands-on experience designing and delivering machine learning, AI, or data-driven applications using Python and modern software engineering practices.
- Minimum 3 years of hands-on experience building Generative AI / LLM applications, including prompt engineering, model integration, evaluation, and production deployment.
- Minimum 3 years of experience designing and implementing RAG solutions using embeddings, vector search/databases, document processing, retrieval techniques, and grounding patterns.
- Minimum 2 years of experience developing agentic AI or multi-step AI workflows using orchestration frameworks, tool/function calling, APIs, and enterprise integrations.
- Minimum 3 years of experience with cloud AI/ML platforms, including Azure AI / Azure OpenAI, AWS Bedrock, or comparable enterprise AI services.
- Minimum 3 years of experience with cloud-native engineering, CI/CD, containers, observability, security controls, and production deployment practices.
- Minimum 2 years of experience in technical enablement, architecture, consulting, or engineering leadership, including workshops, mentoring, reusable guidance, and application of responsible AI/governance requirements.
Travel: Travel as required based on business and CIO-aligned engagement needs.
Degree: Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or equivalent work experience.
Nice to Have
- Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, or comparable LLM / agent orchestration frameworks.
- Experience with vector technologies such as Azure AI Search, OpenSearch, Pinecone, pgvector, FAISS, or equivalent platforms.
- Experience with LLMOps / MLOps, prompt and model evaluation, AI observability, guardrails, red-teaming, and production quality measurement.
- Experience building reusable GenAI accelerators/reference architectures or delivering AI solutions in highly regulated enterprise environments such as financial services.
About NTT DATA Services
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [$65.67 to $80.11]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits.
Machine Learning Engineer Job Roles in North Carolina
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Search Machine Learning Engineer Jobs in North CarolinaMachine Learning Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in North Carolina?
Several large employers in North Carolina have consistent records of sponsoring H-1B visas for machine learning engineers. Companies concentrated in Research Triangle Park, including IBM, Cisco, Red Hat, and SAS Institute, regularly file H-1B petitions for ML roles. In Charlotte, major banks and fintech firms also sponsor engineers for data science and machine learning positions. Biotech and pharmaceutical companies in the Durham and Raleigh corridor are additional active sponsors.
Which visa types are most common for machine learning engineer roles in North Carolina?
The H-1B is the most common visa for machine learning engineers in North Carolina, as ML roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. The O-1A is an option for engineers with demonstrated exceptional ability, such as published research or notable industry recognition. Candidates completing degrees at NC State, Duke, or UNC may initially work under F-1 OPT or STEM OPT before transitioning to employer-sponsored status.
Which cities in North Carolina have the most machine learning engineer sponsorship jobs?
Raleigh and Durham, anchored by Research Triangle Park, account for the largest concentration of machine learning engineer sponsorship jobs in North Carolina. The Triangle's density of technology companies, research universities, and life sciences firms drives consistent demand for ML talent requiring visa support. Charlotte is the second-largest market, particularly within financial services and enterprise technology. Smaller but growing clusters exist in Chapel Hill and Cary, often tied to university spinouts and mid-sized tech firms.
How to find machine learning engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles, including machine learning engineer positions in North Carolina. You can filter job listings by state and role to surface employers in the Triangle, Charlotte, and surrounding areas that have a documented history of sponsoring visas. Searching on Migrate Mate saves time compared to manually screening general job postings where sponsorship availability is often unclear or unstated.
Are there any North Carolina-specific considerations for machine learning engineers pursuing visa sponsorship?
North Carolina's three major research universities, NC State, Duke, and UNC Chapel Hill, have strong ties to regional employers, which can benefit international graduates already in the state on F-1 status. Research Triangle Park employers are generally experienced with H-1B sponsorship processes, given the park's long history of hosting multinational technology and pharmaceutical firms. Machine learning roles in North Carolina's life sciences sector may require domain knowledge specific to bioinformatics or clinical data, which can factor into how a position is classified for sponsorship purposes.
What is the prevailing wage for sponsored machine learning 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.