ML Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's ML engineer job market is anchored by Research Triangle Park, home to major employers like Red Hat, Lenovo, and Cisco, alongside strong university pipelines from NC State and Duke. Charlotte's growing tech sector adds further demand. Most roles here are with established tech, healthcare IT, and advanced manufacturing firms that have active visa sponsorship programs.
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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.
ML Engineer Job Roles in North Carolina
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Search ML Engineer Jobs in North CarolinaML Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for ML engineers in North Carolina?
The most active visa sponsors for ML engineers in North Carolina are concentrated in Research Triangle Park and include companies like Red Hat, Cisco, Lenovo, and SAS Institute. Healthcare technology firms such as Labcorp and Duke Health also sponsor ML roles. IBM has a significant presence in RTP and has consistently filed H-1B visa petitions for machine learning and AI engineering positions.
Which visa types are most common for ML engineer roles in North Carolina?
The H-1B is the most common visa for ML engineers in North Carolina, as machine learning roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. O-1A visas are an option for engineers with demonstrable recognition in the field. Candidates already authorized under F-1 OPT or STEM OPT often transition into H-1B sponsorship with RTP-based employers.
Which cities in North Carolina have the most ML engineer sponsorship jobs?
Research Triangle Park, spanning Raleigh, Durham, and Chapel Hill, accounts for the large majority of ML engineer sponsorship activity in the state. Raleigh in particular has seen strong growth in AI and data science hiring. Charlotte is a secondary market, driven by financial services firms like Bank of America and Wells Fargo that are expanding their machine learning teams.
How to find ml engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters ML engineer jobs specifically by visa sponsorship availability, so you can search North Carolina roles without having to manually screen each listing. The platform surfaces positions from employers who have a documented history of sponsoring work visas in technical roles. This is particularly useful for targeting RTP-area companies and Charlotte-based financial tech firms that regularly hire ML engineers on H-1B status.
Are there state-specific factors ML engineers should know when pursuing sponsorship in North Carolina?
North Carolina's university pipeline, particularly from NC State's computer science and statistics programs and Duke's AI research centers, means employers in the state are experienced with OPT-to-H-1B transitions. The Department of Labor's prevailing wage requirements apply to all H-1B filings, and RTP employers typically structure ML engineer compensation to meet Level II or Level III wage determinations for the Raleigh-Durham metro area.
What is the prevailing wage for sponsored ml 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.