Analytics Engineer Jobs at NTT DATA with Visa Sponsorship
NTT DATA hires Analytics Engineers across data platform, cloud, and enterprise consulting projects, working with clients across industries that demand strong technical and communication skills. The company has a consistent track record of sponsoring work visas for this function, supporting candidates from application through long-term status.
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INTRODUCTION
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 AI Engineer (FTE / Hybrid) to join our team in Addison, Texas (US-TX), United States (US).
"Please note that we are unable to consider candidates with active CPT, OPT, or OPT EAD status for this specific role."
JOB DUTIES AND RESPONSIBILITIES
- Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives
- API Development Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.
- Vectorization Embeddings: Expertise in vector databases and semantic search.
- Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio
- Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365
- Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices
- Provide second- and third-level support for AI-related incidents, enhancements, and deployments
- Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads
- Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption
- Mentor and support business users and citizen developers in building and scaling AI-powered solutions
- Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement
- Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity
- Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy
- Maintain and enforce change control processes.
- Assist in developing and maintaining operational standards and best practices.
- Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.
- Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.
- Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).
- Perform other duties as required and/or assigned.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in Technology Industry is preferred or equivalent work experience
- Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.
- Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).
KNOWLEDGE, SKILLS, AND ABILITIES REQUIREMENTS
- Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.
- Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).
- Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).
- LLMs Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.
- Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI
- Familiarity with MLOps practices and tools for model lifecycle management and monitoring
- Understanding of responsible AI principles, including fairness, transparency, and data privacy
- Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape
- Experience with cloud-based development environments, particularly Microsoft Azure
- Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response
- Excellent communication skills (both written and oral) combined with strong interpersonal skills.
- Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
NTT DATA endeavors to make its website 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. 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.

INTRODUCTION
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 AI Engineer (FTE / Hybrid) to join our team in Addison, Texas (US-TX), United States (US).
"Please note that we are unable to consider candidates with active CPT, OPT, or OPT EAD status for this specific role."
JOB DUTIES AND RESPONSIBILITIES
- Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives
- API Development Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.
- Vectorization Embeddings: Expertise in vector databases and semantic search.
- Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio
- Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365
- Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices
- Provide second- and third-level support for AI-related incidents, enhancements, and deployments
- Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads
- Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption
- Mentor and support business users and citizen developers in building and scaling AI-powered solutions
- Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement
- Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity
- Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy
- Maintain and enforce change control processes.
- Assist in developing and maintaining operational standards and best practices.
- Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.
- Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.
- Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).
- Perform other duties as required and/or assigned.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in Technology Industry is preferred or equivalent work experience
- Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.
- Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).
KNOWLEDGE, SKILLS, AND ABILITIES REQUIREMENTS
- Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.
- Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).
- Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).
- LLMs Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.
- Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI
- Familiarity with MLOps practices and tools for model lifecycle management and monitoring
- Understanding of responsible AI principles, including fairness, transparency, and data privacy
- Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape
- Experience with cloud-based development environments, particularly Microsoft Azure
- Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response
- Excellent communication skills (both written and oral) combined with strong interpersonal skills.
- Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
NTT DATA endeavors to make its website 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. 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.
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at NTT DATA Jobs
Align your portfolio to NTT DATA's client stack
NTT DATA's Analytics Engineer roles often support enterprise clients on cloud data platforms like Snowflake, dbt, and Azure. Tailor your portfolio projects and resume to reflect those tools before applying, since hiring teams screen for stack familiarity early.
Treat the H-1B lottery as a planning constraint
If you need H-1B sponsorship, NTT DATA can file your petition, but selection in the annual lottery isn't guaranteed. Have a contingency plan, such as an E-3 if you're Australian or a TN if you're Canadian or Mexican, before the March registration window.
Confirm specialty occupation framing with your recruiter
USCIS scrutinizes whether Analytics Engineer roles meet the specialty occupation standard, requiring a directly related bachelor's degree or higher. Ask your NTT DATA recruiter how the job description is written for the LCA and I-129 to ensure your credentials map cleanly.
Use Migrate Mate to find open Analytics Engineer roles at NTT DATA
Filtering by employer and visa type manually across job boards wastes time. Migrate Mate lets you search Analytics Engineer openings at NTT DATA filtered by the visa categories you qualify for, so you're only applying to roles where sponsorship is a realistic outcome.
Analytics Engineer at NTT DATA jobs are hiring across the US. Find yours.
Find Analytics Engineer at NTT DATA JobsFrequently Asked Questions
Does NTT DATA sponsor H-1B visas for Analytics Engineers?
Yes, NTT DATA sponsors H-1B visas for Analytics Engineer roles. The company files petitions through the annual USCIS lottery, which opens for registration each March for an October 1 start date. If you're already on H-1B with another employer, NTT DATA can file an H-1B transfer, which lets you start work once USCIS receives the petition without waiting for approval.
How do I apply for Analytics Engineer jobs at NTT DATA?
Apply directly through NTT DATA's careers portal or use Migrate Mate to filter open Analytics Engineer roles by visa type so you only see positions where your sponsorship situation fits. Tailor your application to reflect the specific data tools and cloud platforms listed in the job description, since NTT DATA's technical screens assess stack familiarity early in the process.
Which visa types does NTT DATA commonly sponsor for Analytics Engineers?
NTT DATA sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, and employment-based Green Card categories including EB-2 and EB-3 for Analytics Engineer roles. The right category depends on your nationality and current status. Australian citizens can pursue the E-3, which has no lottery. Canadian and Mexican citizens qualify for TN status, which can be obtained at the border or port of entry.
What qualifications does NTT DATA expect for Analytics Engineer roles?
NTT DATA typically looks for a bachelor's degree in computer science, information systems, engineering, or a closely related field, which also satisfies USCIS's specialty occupation requirement for work visa petitions. Hands-on experience with SQL, dbt, and a major cloud data warehouse such as Snowflake or BigQuery is commonly expected. Consulting experience or client-facing work strengthens your candidacy given NTT DATA's professional services model.
How do I understand the timeline from offer to work authorization at NTT DATA?
Timeline depends on your visa category. F-1 OPT requires USCIS to issue your EAD, which takes up to three months from application, so plan your start date accordingly. H-1B transfers and E-3 approvals at a U.S. consulate abroad can move faster, often within a few weeks. TN status for Canadians can be obtained same-day at a port of entry. Confirm your specific timeline with NTT DATA's immigration team once you have an offer.
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