Nlp Engineer Jobs in USA with Visa Sponsorship
NLP Engineer roles consistently rank among the most H-1B-sponsored positions in tech, with employers like Google, Amazon, and Microsoft filing hundreds of petitions annually. Most require a master's or PhD in computer science or computational linguistics, and specialty occupation status is well-established for this role. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsCompany Overview:
Req ID: 356441
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Lead AI-NLP Engineer to join our team in Irving, Texas (US-TX), United States (US).
Job Description:
Job Description Senior Lead AI-NLP Engineer
Do you find yourself seeking the next big challenge? Step into a role where you are responsible for managing to goals and expectations; one where you are able to see the finish line and truly be part of the broad team's success in reaching it!
Our Company NTT DATA Corporation is a top 10 global services company and part of the NTT Group, a Fortune 29 telecommunications and services company based in Japan. We operate with 60,000 professionals in 36 countries. Every day around the world we help clients explore new ways to respond to market dynamics with flexibility and speed, reduce costs with less risk, and increase productivity to enable growth.
Day to Day job Duties:
- Design, build, and deploy NLP models for intent classification, NER, and sentiment analysis using both traditional methods (BiLSTM, TF-IDF) and modern frameworks.
- Implement and optimize Large Language Models (LLMs) and Generative AI to improve dialogue management and agent capability.
- Lead the development and optimization of conversational systems using Rasa NLU.
- Drive end-to-end development from POC to production-ready systems, including deploying models via API.
- Lead design reviews, define technical standards, and mentor junior engineers.
- Establish evaluation frameworks to measure model quality, accuracy, and safety.
Basic Qualifications:
- 7+ years of experience overall
- 5+ Years of experience in Python (5-6+ years), including Object-Oriented Programming and writing clean, testable code
- 3+ Years of hands-on experience with BiLSTM, TF-IDF classifiers, and word embeddings (Word2Vec, GloVe).
- 2+ Years of experience working in Rasa NLU and Rasa Core.
Additional Qualifications:
- Experience with Hugging Face Transformers, LangChain, or LLM-based RAG (Retrieval-Augmented Generation).
- Strong experience in ML Frameworks: PyTorch or TensorFlow
- Experience in Cloud & DevOps: Docker, AWS/GCP, and CI/CD Pipeline
- Must be able to work on-site in a hybrid model
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Company Overview:
Req ID: 356441
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Lead AI-NLP Engineer to join our team in Irving, Texas (US-TX), United States (US).
Job Description:
Job Description Senior Lead AI-NLP Engineer
Do you find yourself seeking the next big challenge? Step into a role where you are responsible for managing to goals and expectations; one where you are able to see the finish line and truly be part of the broad team's success in reaching it!
Our Company NTT DATA Corporation is a top 10 global services company and part of the NTT Group, a Fortune 29 telecommunications and services company based in Japan. We operate with 60,000 professionals in 36 countries. Every day around the world we help clients explore new ways to respond to market dynamics with flexibility and speed, reduce costs with less risk, and increase productivity to enable growth.
Day to Day job Duties:
- Design, build, and deploy NLP models for intent classification, NER, and sentiment analysis using both traditional methods (BiLSTM, TF-IDF) and modern frameworks.
- Implement and optimize Large Language Models (LLMs) and Generative AI to improve dialogue management and agent capability.
- Lead the development and optimization of conversational systems using Rasa NLU.
- Drive end-to-end development from POC to production-ready systems, including deploying models via API.
- Lead design reviews, define technical standards, and mentor junior engineers.
- Establish evaluation frameworks to measure model quality, accuracy, and safety.
Basic Qualifications:
- 7+ years of experience overall
- 5+ Years of experience in Python (5-6+ years), including Object-Oriented Programming and writing clean, testable code
- 3+ Years of hands-on experience with BiLSTM, TF-IDF classifiers, and word embeddings (Word2Vec, GloVe).
- 2+ Years of experience working in Rasa NLU and Rasa Core.
Additional Qualifications:
- Experience with Hugging Face Transformers, LangChain, or LLM-based RAG (Retrieval-Augmented Generation).
- Strong experience in ML Frameworks: PyTorch or TensorFlow
- Experience in Cloud & DevOps: Docker, AWS/GCP, and CI/CD Pipeline
- Must be able to work on-site in a hybrid model
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
How to Get Visa Sponsorship as a Nlp Engineer
Target companies with active LCA filings
Large tech firms and AI-focused startups file Labor Condition Applications publicly. Prioritize employers with a track record of NLP-specific sponsorships rather than companies sponsoring their first technical hire, approval timelines and success rates differ significantly.
Lead with your specialty, not just 'NLP'
Employers sponsoring NLP roles need to demonstrate specialty occupation. Framing your expertise around a specific domain, conversational AI, information extraction, or machine translation, strengthens the petition and signals clear alignment between your degree and the role.
A master's degree changes your H-1B odds
NLP Engineers with a U.S. master's or higher qualify for the advanced degree exemption, giving you two lottery chances instead of one. This meaningfully increases selection probability, a distinction worth understanding before your first H-1B registration.
OPT and STEM OPT are real runway, not just a gap
Computer science and linguistics degrees both qualify for 24-month STEM OPT extensions. That gives you up to three years of work authorization post-graduation, enough time to build a track record, survive a lottery miss, and position for sponsorship.
Document your research outputs before interviews
Publications, patents, and open-source contributions directly support O-1A and EB-1A petition criteria. Employers sponsoring NLP roles in research-heavy environments increasingly view these outputs as assets that reduce immigration risk and support stronger petitions.
Ask about sponsorship policy before the offer stage
Some employers sponsor H-1B transfers but not new cap-subject petitions. Confirming a company's exact sponsorship scope early, before investing in a full interview process, saves significant time and prevents offer-stage surprises with immigration implications.
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Get Access To All JobsFrequently Asked Questions
Is NLP Engineer considered a specialty occupation for H-1B purposes?
Yes. NLP Engineer consistently qualifies as a specialty occupation because the role requires at minimum a bachelor's degree in a specific field, typically computer science, computational linguistics, or a closely related discipline. USCIS has approved large volumes of H-1B petitions for this job title, and the degree-to-role connection is well established in petition precedent.
Do I need a master's degree to get sponsored as an NLP Engineer?
A bachelor's degree in computer science or computational linguistics meets the minimum H-1B specialty occupation threshold. However, most NLP roles at top employers, particularly in research, large language models, and applied AI, are filled by candidates with a master's or PhD. A U.S. master's degree also qualifies you for the advanced degree exemption pool, giving you two H-1B lottery chances instead of one.
Which visa types can NLP Engineers use besides H-1B?
Australians can pursue the E-3 visa, which has no lottery and is renewable indefinitely. Canadian and Mexican nationals may qualify under TN status if the role maps to a covered USMCA category. NLP Engineers with an extensive publication record or recognized contributions to the field may also qualify for the O-1A extraordinary ability visa, which bypasses the H-1B cap entirely.
How do I find NLP Engineer jobs that offer visa sponsorship?
Migrate Mate lists NLP Engineer roles specifically filtered for visa sponsorship, so you're not guessing which employers are open to it. The platform is built for international candidates, meaning you won't waste applications on postings that exclude sponsored candidates. Roles span large tech companies, AI startups, and research institutions, all with verified sponsorship intent.
Can my research experience substitute for a traditional degree in an NLP sponsorship petition?
In some cases, yes. USCIS allows three years of specialized training or experience to substitute for one year of formal education under the specialty occupation framework. For an NLP Engineer without a four-year degree, this means roughly 12 years of directly relevant experience could satisfy the requirement, though this path faces higher scrutiny and benefits from strong supporting documentation, including publications, patents, or employer letters detailing the complexity of the work.
What is the prevailing wage requirement for sponsored Nlp Engineer jobs?
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.
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